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Channel

Клинфарм замес | Евгений Никитин

@tgnikitin

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

44,085subscribers

-651 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001394478317
TypeChannel
Username@tgnikitin
Created11 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/tgnikitin

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 59% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@tgnikitin/2543 · this entry22 Jul 2026, 10:57 UTC@comradebitch/84422 Jul 2026, 11:05 UTC1.007 minutes
@tgnikitin/2545 · this entry24 Jul 2026, 10:03 UTC@comradebitch/84624 Jul 2026, 10:10 UTC1.007 minutes
@tgnikitin/2547 · this entry28 Jul 2026, 08:34 UTC@comradebitch/84728 Jul 2026, 08:37 UTC1.002 minutes
@tgnikitin/2548 · this entry29 Jul 2026, 15:09 UTC@comradebitch/84829 Jul 2026, 15:12 UTC1.003 minutes
@tgnikitin/2555 · this entry31 Jul 2026, 10:33 UTC@comradebitch/85031 Jul 2026, 10:41 UTC1.008 minutes
@tgnikitin/2557 · this entry5 Aug 2026, 12:49 UTC@comradebitch/8525 Aug 2026, 12:49 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@comradebitch11 (8/8 hand-verifiable sample passed)1.007 minutesthis entry (11–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 82 comparable posts for this entry, running 18 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @tgnikitin — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

44,07744,80144,43944,0856 August 202612 November 2026
63 measurements spanning 98 days, net -651. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 43,968–44,910 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
12 Nov 2026, 10:1444,085+8
10 Nov 2026, 07:0744,077-21
8 Nov 2026, 20:4744,098-23
7 Nov 2026, 11:0544,121-13
6 Nov 2026, 09:2944,134-2
5 Nov 2026, 12:2044,136-4
4 Nov 2026, 14:4944,140-4
3 Nov 2026, 16:4644,144-11
2 Nov 2026, 17:2644,155-17
1 Nov 2026, 16:4844,172-6
31 Oct 2026, 13:5044,178-2
30 Oct 2026, 13:1644,180-7
29 Oct 2026, 15:3844,187+1
28 Oct 2026, 14:4744,186-3
27 Oct 2026, 12:0944,189-2
26 Oct 2026, 09:4744,191+5
25 Oct 2026, 10:0644,186+1
24 Oct 2026, 09:3044,185-3
23 Oct 2026, 09:2644,188-16
22 Oct 2026, 09:5744,204first reading

Engagement

111 posts held, back to 18 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.68%
avg views ÷ 44,085 subscribers
Avg views / post
2,940
22 posts measured
Reaction rate
0.57%
reactions ÷ views · ER floor
Posts in window
22
of 111 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 20 of 22 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held111 (18 July 2026 – 10 November 2026)
Views total64,770
Reactions total335
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 09:43 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
4m 24s
Average length
29s

Measured directly from 9 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

3,618 reactions across 103 posts, in 29 distinct kinds. The most used accounts for 57.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,08857.7%
🔥48613.4%
👍46612.9%
❤‍🔥1995.50%
🤣902.49%
😁541.49%
🥰411.13%
👀381.05%
😱290.802%
😭240.663%
🤯160.442%
💯150.415%
🙈120.332%
👏80.221%
🤝60.166%
🌚50.138%
🤩50.138%
🐳40.111%
👻40.111%
😢40.111%
9 further kinds240.663%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 108 of the 111 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3,657 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 111 most recent posts we hold, published 18 July 2026 to 10 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
7
of 110 we hold a reading for · 6%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tgnikitin. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 111 most recent posts we hold for this entry, published 18 July 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 22 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 13:53 UTC≈1,640 views11 reactions1 Starread 12 November 2026

АЛЛЕРГИЯ НА АНТИБИОТИКИ И НА АНЕСТЕЗИЮ. ЧЕМ ЛЕЧИТЬ? 🤯 Пациент уже в кресле. Лечить надо, а чем — пока непонятно. Уточним реакцию После амоксициллина — диарея После анестезии — сильное сердцебиение, чуть не потерял сознание Итог: две реакции, причины которых нужно выяснить Среди 2978 пациентов с подозрением на аллергию к местным анестетикам IgE-аллергия подтверждена только у 0,97%. Во Франции за 35 лет в базе фарма…

🔥8❤3

7 Nov 2026, 09:30 UTC≈2,500 views15 reactionsread 12 November 2026

Друзья, ну я без вас вообще никуда Все вы знаете, что я клинический фармаколог. Но интересно, как вы вообще представляете себе эту специальность: чем мы занимаемся, как устроена наша работа и с какими вопросами к нам обращаются Мои коллеги подготовили небольшую анкету для студентов и врачей, чтобы узнать ответы на эти вопросы Здесь важно именно ваше представление о специальности, так что готовиться не надо, выдыха…

❤11🐳4

6 Nov 2026, 15:55 UTC≈2,790 views12 reactionsread 12 November 2026
Photo

«В УНИВЕРЕ УЧИЛИ ОДНИМ ПОКАЗАНИЯМ, А КОЛЛЕГА НАЗНАЧАЕТ АНТИБИОТИК ПОСЛЕ ЛЕЧЕНИЯ КАНАЛОВ И КАЖДОГО УДАЛЕНИЯ. КАК ПРАВИЛЬНО?» Стоматологи, давайте на одном пациенте ➡️ Мужчина, 35 лет. Острый пульпит, сильная боль ➡️ Температуры, отёка и системных проявлений нет, иммунодефицита нет ➡️ Лечение доступно сейчас ⭐️ Антибиотик здесь не нужен — нужно стоматологическое лечение. Даже если болит сильно и хочется перестрахова…

❤6🔥4🥰1🥴1

5 Nov 2026, 16:16 UTC≈2,420 views19 reactionsread 12 November 2026

КТО ВИНОВАТ И ЧТО ДЕЛАТЬ? Кажется, большого смысла разбираться в рамках случая, кто виноват, нет Но доносить до нас, врачей, что не любая сыпь = аллергия, лекарственные аллергии — это безумно муторная часть аллергологии, и что важно не клеймить пациентов аллергией, НЕОБХОДИМО! Что делать? Если пациента НЕ направляли с этим возможным вбросом из прошлого к аллергологу — сделайте это вы Отправить на грамотную оценку…

💯12❤7

5 Nov 2026, 16:07 UTC≈2,440 views23 reactionsread 12 November 2026

А стоматологам от этого особо весело Пациент говорит: «У меня аллергия на амоксициллин» И вместо препарата первого выбора врач вынужден рассматривать альтернативы, которые иногда менее эффективны и потенциально опаснее А потом выясняется, что «аллергией» двадцать лет называли диарею после антибиотика. Или сыпь на инфекционный мононуклеоз

❤21🔥2

5 Nov 2026, 15:57 UTC≈2,340 views29 reactionsread 12 November 2026
Photo

ЛЮБИМАЯ ИМБА ПРО АЛЛЕРГИЮ НА ПЕНИЦИЛЛИНЫ В Journal of the American Dental Association выходила работа: оказывается, 90–99% пациентов с отметкой об аллергии на пенициллин при полноценной проверке аллергиками НЕ ЯВЛЯЮТСЯ

🔥24❤5

3 Nov 2026, 16:13 UTC≈2,800 views14 reactionsread 12 November 2026

КАК ПРОВЕРИТЬ, ЧТО СХЕМА НАЗНАЧЕНИЙ РАБОЧАЯ? В субботу спрашивал у коллег-стоматологов, на какие руководства они опираются при назначении препаратов. С ответами негусто, но это серьезный повод поговорить Что вообще делает схему «проверенной», если её просто передают от одного врача другому? А если у пациента противопоказание? Или он принимает лекарства, совместимость с которыми нужно проверить? «Да я стоматолог, в…

👍8❤5🔥1

1 Nov 2026, 06:26 UTC≈3,400 views32 reactionsread 12 November 2026

Друзья, очень нужна ваша помощь! Буквально на 2 минуты) Моя подруга, врач-педиатр, проводит научное исследование, посвящённое обмену жиров и нашей осведомлённости об уровне холестерина. Тема важнейшая, ведь сердечно-сосудистые заболевания остаются главной причиной смертности в мире. Я сам прошёл опрос и понял, что даже не знаю уровень холестерина своих родителей. А ведь я врач! Для исследования нужно собрать 500 …

❤‍🔥23🔥5❤4

30 Oct 2026, 12:58 UTC≈3,350 views27 reactionsread 12 November 2026
Photo

Кто чем занят в следующие выходные? Как насчёт прокачать свои знания об антибиотиках? Приглашаю на XXVIII Российскую конференцию «Современные проблемы и перспективы антимикробной терапии» Вы точно знаете: — как выбрать препарат с учётом антибиотикорезистентности? — как не промахнуться с назначением? — что делать, когда привычные схемы лечения больше не работают? Уверен, что каждый неуверен в данных вопросах. Именн…

🔥14❤10👏3

29 Oct 2026, 12:41 UTC≈3,270 views25 reactionsread 12 November 2026
Photo

ЛЕЧЕБНИК ПЫТАЕТСЯ ПОПАСТЬ В КЛУБ СТОМАТОЛОГОВ Готовишь «Фарму в стоматологии», почти 900 человек уже ждут интенсив, а в комментариях тебя всё ещё не пускают в клуб)) Коллеги, но я же с фармой пришёл 🫪 Напомню, что я клинический фармаколог — по сути, врач-консультант для врачей. Своих пациентов у меня нет. Ко мне обращаются, когда нужно разобраться: ➡️ какой препарат выбрать ➡️ в какой дозе ➡️ почему не работает ➡️…

❤18🔥7

27 Oct 2026, 11:43 UTC≈3,420 views13 reactionsread 12 November 2026

Как человек я молюсь, чтобы пореже оказываться в кресле стоматолога А как врач, оказавшись там, с интересом слушаю: какие вопросы мне зададут перед тем, как что-то назначить? Допустим, после манипуляции есть БОЛЬ Ибупрофен, нимесулид и их товарищи уже в голове А что мы вообще знаем о пациенте, которому собираемся их рекомендовать? Проверим на 3 вопросах Только отвечаем, как происходит у вас НА САМОМ ДЕЛЕ Проверят…

🔥10❤3

26 Oct 2026, 01:28 UTC≈3,600 views25 reactionsread 12 November 2026
Forwarded from @mediamedicsPhoto

⚡️Издательство АСТ выпустило книгу о российских врачах, которых пожирают вурдалаки и паразиты системы здравоохранения Роман главного редактора «Медицинской России» Игоря Артюхова «Психотомия. Русский медицинский хоррор» поступил в продажу в «Литресе» (электронный формат), «Читай-городе» и на Ozon. Жанр находится на стыке хоррора, сатиры, готики, метафизического детектива и социального триллера. Произведение принцип…

❤22🔥2👍1

Showing the 12 most recent of 111 posts we hold for @tgnikitin. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Posts edited after publishing

@tgnikitin edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
12 August 2026
Most recent edit
17 August 2026

Posts recorded as deleted after publishing

We recorded 6 posts on @tgnikitin as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
22 September 2026
Most recent seen missing
6 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

Polls

The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

1 Sept 2026, 13:46 UTCAnonymous Quiz456 voters

Цефтриаксон поколоть можно и вне стационара?

  1. Нельзя60%
  2. Можно40%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Sept 2026, 13:46 UTCAnonymous Quiz434 voters

При сепсисе требуется широкоспектровая комбинация препаратов?

  1. Да65%
  2. Нет35%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Sept 2026, 13:46 UTCAnonymous Quiz444 voters

Корректируем дозу антибиотика согласно СКФ?

  1. Да90%
  2. Нет10%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Sept 2026, 13:46 UTCAnonymous Quiz417 voters

Понятие «курсового лечения» — это архаизм, и сейчас мы опираемся только на критерии достаточности?

  1. Да66%
  2. Нет34%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Sept 2026, 13:46 UTCAnonymous Quiz449 voters

Антибиотик при бронхите — это ошибка?

  1. Да43%
  2. Нет57%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 111 most recent posts we hold, published 18 July 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 21 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян.
@urolog_mark · 27,388
6 posts
Доктор Березина @doctorberezina
@doctorberezina · 24,594
4 posts
Каплина О.Ю., гинеколог, гемостазиолог & dr.gemogyn
@dr_gemogyn · 21,864
4 posts
ДОКТОР ВАРНАВСКИЙ
@doctor_varnavskiy · 24,399
3 posts
Медицинская Россия
@mediamedics · 142,813
3 posts
Ты нормальная мама | врач-педиатр Анна Проскурякова
@pediatr_annstapro · 10,232
3 posts
Кардиолог Новикова Диана Сергеевна
@cardiolognovikova · 24,339
2 posts
Истории Доктора Долгушина
@drgrdolgushin · 13,816
2 posts
Педиатр | Станислав Андриянов
@pediatr_andriyanov · 17,296
2 posts
будни кровавого ветеринара
@bloody_Liza · 949
1 post
Тревожный кардиолог
@docdari · 5,991
1 post
Доктор Борисов
@doctorborisov · 10,835
1 post
Доктор Каплина (Демехова)
@dr_demekhova · 1,165
1 post
Никита Васильченко | Здоровье суставов
@dr_vasilchenko · 3,659
1 post
Диетолог | Атаманова Юлия | Эндокринолог
@drAtamanova · 3,858
1 post
Педиатр Имаева Людмила Уфа
@imaeva_pediatr · 377
1 post
Невролог |Сомнолог|Эпилептолог| Татьяна Малахова🩺
@malahovatv · 2,150
1 post
Неврология-легко!
@mozginamestee · 6,248
1 post
Запрещенный фармаколог 2.0
@OlegTalibov2 · 6,752
1 post
КАНАЛ ДЛЯ ТЕХ, КТО ХОЧЕТ ИЗМЕНИТЬ СВОЮ ЖИЗНЬ: ФИЗИЧЕСКУЮ, СЕКСУАЛЬНУЮ, МЕНТАЛЬНУЮ ФОРМУ! СТАТЬ ЛУЧШЕЙ ВЕРСИЕЙ СЕБЯ!
@transformation_mark · 1,533
1 post
Рентгенологический блог Ксении Андреевны
@ZamyatinaSchool · 11,859
1 post

Names

Channels on the register whose handles appear in this channel's posts.

Кардиолог Новикова Диана Сергеевна
@cardiolognovikova · 24,339
2 posts
Тревожный кардиолог
@docdari · 5,991
2 posts
Каплина О.Ю., гинеколог, гемостазиолог & dr.gemogyn
@dr_gemogyn · 21,864
2 posts
Dr.iolanta
@dr_iolanta · 14,062
2 posts
Никита Васильченко | Здоровье суставов
@dr_vasilchenko · 3,659
2 posts
Истории Доктора Долгушина
@drgrdolgushin · 13,816
2 posts
РКИ
@evgenypelmeny · 1,990
2 posts
Педиатр | Станислав Андриянов
@pediatr_andriyanov · 17,296
2 posts
УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян.
@urolog_mark · 27,388
2 posts
Доктор Березина @doctorberezina
@doctorberezina · 24,594
1 post
Доктор Борисов
@doctorborisov · 10,835
1 post
Эндокринолог | диетолог | нутрициолог Анастасия Курова
@dr_nutrio_agent · 4,885
1 post
УроГинеколог сексолог Фидан Лятифова 👩🏻‍⚕️ Москва
@DrFidan_gyn · 1,360
1 post
Педиатр СПб | Третьяков СН
@drtretiakov · 3,285
1 post
Диетолог Екатерина/ Едим и худеем с врачом
@ekatherina_borisova · 632
1 post
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,908
1 post
Неврология-легко!
@mozginamestee · 6,248
1 post
ЛОР Новикова Яна СПБ и онлайн
@novikova_ent · 1,719
1 post
Онколог Маммолог Алексеева Виктория
@oncolog_VS · 6,008
1 post
Тут|Прудников психолог-сексолог психотерапевт
@Paprudnikov · 540
1 post
Репродуктолог | Дворцов Кирилл Олегович|
@ReproductologDvortsov · 6,284
1 post
Ваш врач сомнолог Тимошина Людмила Станиславовна
@somnolog_timoshina · 2,979
1 post
Невролог Мигрень Заболотная Svetlananeiro
@svetlananeiro · 11,405
1 post
ВЫДОХ | Доказательные психологи
@vy_dox · 1,761
1 post

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

ImmunoBee
@immunobee1 · 103,910
#1
Помощник терапевта | MедикУм
@pomoshnik_terapevta · 18,335
#2
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,908
#3
Терапевтическая Суперсила
@tersuperpower · 5,208
#4
ninavaccina
@ninavaccina · 90,384
#5
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич
@ag_kharitonov · 58,836
#6
Ruslan_cardio
@studywithcardio · 15,168
#7
Ординаторская
@drbryk · 3,666
#8
Терапия для грустных
@medicine_for_sad · 4,837
#9
Дерматология Быканова
@dr_bykanov · 62,233
#10
Доктор Нагорская
@drnagorskaya · 8,502
#11
Поясни за мед
@poyasni_za_med · 22,200
#12
Мне только спросить 🧘‍♀️
@mne_ts · 10,441
#13
Помощник педиатра | МедикУм
@pomoshnik_pediatra · 23,725
#14
Запрещенный фармаколог 2.0
@OlegTalibov2 · 6,752
#15
Педиатр маминой подруги
@olgagalkinadoc · 1,160
#16
Ночная охота
@survmed03 · 6,427
#17
Пей таблетки! | MedIQLab
@mediq · 65,586
#18
dnevnikdoctora
@dnevnikdoctora · 45,187
#19
Брендмейкер врачей
@readydoctor · 6,458
#20
Бородатый не пробовал | доктор Бурлаков
@doc_burlakov · 34,226
#21
Pediatric's school
@pediatricschool · 5,963
#22
aysmed💘
@ayssmed · 13,830
#23
Гастро FM | Софья Бакаева
@bakaevadoc · 9,126
#24
Терапия: Созвездие
@progressivnyj_klinicist · 10,819
#25
Медач | Medical Channel
@medach · 27,930
#26
МАКМАХ / НИИАХ
@iacmac · 3,916
#27
Лекторий "АиР" Коммунарка
@lectorium_air_40 · 9,602
#28
Карьера и личный бренд врача | MD.school
@doc_kharchenko · 7,341
#29
ICU Community 🌐
@icu_komi · 5,635
#30
Doc_shilo
@clinresearch · 4,687
#31
Занимательная эндокринология
@funwithmedicine · 22,756
#32
Педиатрия | Докмед для врачей | MD.school
@maria_doc_pediatrician · 11,891
#33
MD.school | Медицинский онлайн-университет | Доказательная медицина
@medicina_discendi · 21,248
#34
Ebm_base
@ebm_base · 3,966
#35
Infodoc
@infodoc · 18,654
#36
ПЕДИАТРИЯ DocmaSchool
@pediatriadocmaschool · 9,802
#37
DocmaSchool | ДокмаШкола
@docmaschool · 10,357
#38
Ваш милый педиатр
@drsaliseee · 5,705
#39
врач рисующий
@spnullityy · 5,721
#40
Я Анестезиолог Реаниматолог
@anesthesiologistrussia · 10,081
#41
ЛОР ГОВОРИТ
@ent_speech · 12,341
#42
Нефролог I Данила Пыриков
@pyrikov · 67,021
#43
Headache_dr
@headache_dr · 16,160
#44
Справочник педиатра
@pediatrhelp · 19,272
#45
Очерки фундаментальной онкологии
@oncofundamental · 8,963
#46
DocDeti & DocMed
@docdeti_docmed · 62,897
#47
Лайфхаки для врачей | О медицине и жизни | MD.school
@MDschool_MDclub · 3,811
#48
Газовый гигант (ibs.doc)🪐
@ibs_doc · 21,762
#49
Евразийская Ассоциация Терапевтов
@euatofficial · 9,194
#50
Медицинская Россия
@mediamedics · 142,813
#51
Reclin - live
@reclinlive · 31,721
#52
Ordinatura.org | Ординатура орг
@ordinatura_org · 24,161
#53
врач маминой подруги
@raynbuldez · 22,932
#54
Dr. Marta 👩🏻‍⚕️
@mmaartaaaaa · 10,302
#55
Заметки детского врача
@DrButriy · 137,591
#56
ymirauotlubví
@ymirauotlubvii · 10,215 (as read 28 August 2026)
#57
juliemcberry | репродукция
@juliemcberrytg · 2,189
#58
POCUS MOSCOW
@pocusmoscow · 8,213
#59
Doctor Endoscopy
@endoscopy_surgery · 15,786
#60
НЕВРОЛОГ-ЦЕФАЛГОЛОГ, Москва, Ужахов Алихан Магомедович
@alikhandrodoc · 8,908
#61
APEX USMLE | АПЕКС 🏆
@ashurovmed · 11,019
#62
UpToDate | Русский АпТуДейт | Сервисы для врачей и исследователей
@UTD_Russia · 8,038
#63
Злокачественные будни
@drisma1l · 5,415
#64
мне просто спросить
@mila_yann · 8,143
#65
Рентгенологический блог Ксении Андреевны
@ZamyatinaSchool · 11,859
#66
Что мы будем делать в понедельник утром
@cancer_care_weekly · 9,371
#67
Гинеколог и Я | проект о женском здоровье
@womenhealth1pro · 9,353
#68
MSMU CLUB | бывший МГМУ Оптимус
@MGMUOptimus · 4,552
#69
Записки судмедэксперта
@sudmednotes · 166,796
#70
Детский доктор Березуцкая
@easymedicalschool · 3,048
#71
Анестезиология-реаниматология. Ординаторы Asia+
@orda_air · 20,758
#72
Занудная педиатрия — Роман Шиян
@drshnr · 37,014
#73
Pivazyan_Laura 👩🏻‍⚕️ @pivazyan_
@pivazyan_laura · 2,919
#74
Плёночка неспокойная
@restless_ecg · 9,045
#75
Арина Коптяева⚕️Мудрый КАА
@mudryidoctorKAA · 2,345
#76
Doc2Doc
@doc2docclub · 5,247
#77
Доктор Гребешкова
@doctor_grebeshkova · 33,868
#78
new Кардиология
@cardiology_info · 19,244
#79
Психотерапевт Прибытков
@pribytkov_psy · 40,400
#80
Доктор Галеева
@doctor_galeeva · 28,842
#81
РМАНПО
@rmanpoacademy · 6,896
#82
Доктор Коса
@doctor_kosa · 551
#83
Корги и USMLE
@CorgiUSMLE · 7,684
#84
СЕЧЕНОВЕЦ’ 25
@sechenovec24 · 864
#85
Сечёшь? | Молодёжная редакция
@sechenov_young · 4,026
#86
Сеченовский Университет
@sechenov_ru · 22,196
#87

Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

SYNAPSE I СИНАПС
@synapse_channel_1 · 40,185
Telegram ranks this channel #4 of 88 here — alongside 87 others — read 4 September 2026
Гастроэнтеролог Саша
@gastrosasha95 · 40,861
Telegram ranks this channel #18 of 94 here — alongside 93 others — read 30 August 2026
Нефролог I Данила Пыриков
@pyrikov · 67,021
Telegram ranks this channel #32 of 98 here — alongside 97 others — read 20 August 2026
MD.school | Медицинский онлайн-университет | Доказательная медицина
@medicina_discendi · 21,248
Telegram ranks this channel #33 of 98 here — alongside 97 others — read 25 September 2026
Пей таблетки! | MedIQLab
@mediq · 65,586
Telegram ranks this channel #35 of 93 here — alongside 92 others — read 21 August 2026
Дерматология Быканова
@dr_bykanov · 62,233
Telegram ranks this channel #37 of 97 here — alongside 96 others — read 21 August 2026
Поясни за мед
@poyasni_za_med · 22,200
Telegram ranks this channel #39 of 97 here — alongside 96 others — read 21 September 2026
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,908
Telegram ranks this channel #40 of 96 here — alongside 95 others — read 8 September 2026
Немедицина
@ybody · 40,165
Telegram ranks this channel #42 of 61 here — alongside 60 others — read 29 August 2026
Голова Медузы🪼
@golovameduza · 23,454
Telegram ranks this channel #45 of 80 here — alongside 79 others — read 18 September 2026
Помощник педиатра | МедикУм
@pomoshnik_pediatra · 23,725
Telegram ranks this channel #49 of 94 here — alongside 93 others — read 17 September 2026
Ordinatura.org | Ординатура орг
@ordinatura_org · 24,161
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 16 September 2026
Медач | Medical Channel
@medach · 27,930
Telegram ranks this channel #52 of 97 here — alongside 96 others — read 10 September 2026
Доктор Гребешкова
@doctor_grebeshkova · 33,868
Telegram ranks this channel #52 of 83 here — alongside 82 others — read 3 September 2026
Медицинская Россия
@mediamedics · 142,813
Telegram ranks this channel #53 of 95 here — alongside 94 others — read 13 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич
@ag_kharitonov · 58,836
Telegram ranks this channel #54 of 99 here — alongside 98 others — read 22 August 2026
Занимательная эндокринология
@funwithmedicine · 22,756
Telegram ranks this channel #55 of 98 here — alongside 97 others — read 20 September 2026
Reclin - live
@reclinlive · 31,721
Telegram ranks this channel #71 of 88 here — alongside 87 others — read 7 September 2026
Газовый гигант (ibs.doc)🪐
@ibs_doc · 21,762
Telegram ranks this channel #74 of 100 here — alongside 99 others — read 23 September 2026
Анестезиология-реаниматология. Ординаторы Asia+
@orda_air · 20,758
Telegram ranks this channel #76 of 88 here — alongside 87 others — read 1 October 2026
Медицинская Литература
@clinirec · 36,415
Telegram ranks this channel #80 of 84 here — alongside 83 others — read 4 September 2026
Справочник педиатра
@pediatrhelp · 19,272
Telegram ranks this channel #85 of 92 here — alongside 91 others — read 2 October 2026
Blog Kardiologa 🩺
@blog_kardiologa · 138,292
Telegram ranks this channel #86 of 96 here — alongside 95 others — read 13 August 2026
Аккредитация врачей | Ординатура
@credit_med · 23,151
Telegram ranks this channel #90 of 96 here — alongside 95 others — read 19 September 2026

This channel appears in 24 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Клинфарм замес | Евгений Никитин” (@tgnikitin), 44,085 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/tgnikitin.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.