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Channel

️ بیوشیمی | دکتر کاظم زاده ️

@biochemistryK

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

18,860subscribers

+1,034 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001144094949
TypeChannel
Username@biochemistryK
CreatedBetween 1 February 2016 and 31 October 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/biochemistryK

Topic

Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 2 other registered channels. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@KazemzadehM/50384 Aug 2026, 07:44 UTC@biochemistryK/9110 · this entry5 Aug 2026, 07:23 UTC1.0024 hours
@KazemzadehM/50394 Aug 2026, 07:44 UTC@biochemistryK/9111 · this entry5 Aug 2026, 07:24 UTC1.0024 hours
@KazemzadehM/50434 Aug 2026, 07:44 UTC@biochemistryK/9112 · this entry5 Aug 2026, 07:24 UTC1.0024 hours
@biochemistryK/9151 · this entry15 Aug 2026, 07:05 UTC@guiton_97/1006715 Aug 2026, 07:05 UTC1.00under a minute
@biochemistryK/9191 · this entry25 Aug 2026, 18:22 UTC@guiton_97/1011425 Aug 2026, 18:23 UTC1.002 minutes
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
@KazemzadehM7 (7/7 hand-verifiable sample passed)1.0041 minutes@KazemzadehM (4–3)
@guiton_975 (5/5 hand-verifiable sample passed)1.005 minutesthis entry (4–1)

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. 2 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 113 comparable posts for this entry, running 21 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).

Recorded under the key clone_mutual, 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.

Growth

17,81818,86018,3396 August 202611 November 2026
64 measurements spanning 98 days, net +1,034. 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 17,662–19,016 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 18:0818,860+44
9 Nov 2026, 20:5918,816+58
8 Nov 2026, 12:4618,758+31
7 Nov 2026, 07:5518,727-13
6 Nov 2026, 07:5018,740+52
5 Nov 2026, 04:2918,688+10
4 Nov 2026, 06:5818,678+49
3 Nov 2026, 07:5918,629+24
2 Nov 2026, 04:3818,605+1
1 Nov 2026, 06:1018,604+6
31 Oct 2026, 08:4018,598+42
30 Oct 2026, 09:1018,556+15
29 Oct 2026, 10:1818,541+33
28 Oct 2026, 09:3918,508+5
27 Oct 2026, 11:5518,503+14
26 Oct 2026, 11:4718,489-5
25 Oct 2026, 11:3018,494+6
24 Oct 2026, 12:0418,488-15
23 Oct 2026, 10:0618,503+22
22 Oct 2026, 07:2718,481first reading

Engagement

142 posts held, back to 21 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 80 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.48%
avg views ÷ 18,860 subscribers
Avg views / post
844
47 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
47
of 142 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 22 of 47 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 11 November 2026
Posts held142 (21 July 2026 – 11 November 2026)
Views total39,670
Reactions total433
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 18:04 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
45m 21s
Average length
5m 40s

Measured directly from 8 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

1,401 reactions across 65 posts, in 9 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤53738.3%
👌23917.1%
👏19513.9%
👍19113.6%
💯1178.35%
😍1057.49%
🫡80.571%
💔50.357%
🙏40.286%

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 73 of the 142 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 1,401 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 142 most recent posts we hold, published 21 July 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 47 posts held from the last 30 days (10.6%) 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).

11 Nov 2026, 04:26 UTC30 viewsread 11 November 2026
Forwarded from @tabadllist

🪎مجموعه‌ای از بهترین کانال‌های تخصصی آزمایشگاهی،ارشد وزارت بهداشت وزبان آماده‌ی همراهی شما در مسیر موفقیت هستند. https://t.me/addlist/IXRKmeyHcBgxZDJk?from=@KeySazBot https://t.me/addlist/8_2sKKdP5dBiMmQ0?from=@KeySazBot برای دسترسی سریع به این فهرست تخصصی، روی لینک ها کلیک کنید👆

10 Nov 2026, 18:55 UTC107 viewsread 11 November 2026
Forwarded from @tabadllist

🪎جهت دسترسی به مجموعه‌ سوالات تستی و تشریحی به همراه پاسخ‌نامه تشریحی آزمون‌های علوم آزمایشگاهی ۱، ۲ و ۳، می‌توانید از طریق لینک‌های زیر در گروه‌ها و کانال‌های تخصصی ما عضو شوید😍 ====================== #تحلیل مصور و صوتی سوالات ۱۰ سال اخیر آزمون ژنتیک🧬 پزشکی (استاد‌ فراهانی) @genemedia

10 Nov 2026, 18:34 UTC681 views29 reactionsread 11 November 2026
Video

☑️خارج از گود از بیوشیمی 🔺نیازمند ترجمه @biochemistryK

❤28👌1

10 Nov 2026, 14:01 UTC781 views2 reactionsread 11 November 2026
Photo

🔔بسته جامع و تخصصی بیوشیمی ویژه داوطلبین دکتری وزارت بهداشت (دکترکاظم زاده) ☑️ تدریس صفر تا صد بیوشیمی در قالب تدریس افلاین وبیناری ☑️ ارسال جزوه ۳ جلدی ویژه داوطلبین دکتری شامل 69 فصل ویرایش 2026 ( آخرین ویرایش ) ☑️ عضویت در کانال آزمونهای پایان فصل و گروه رفع اشکال ☑️ عضویت در کانال بخش دستگاهی و کنترل کیفی ☑️ بدون نیاز به هیچ رفرنس غیر مروری بر نتایج 3 سال اخیر 🔻کنکور 1402 🔻کنکور 1403 🔻کنکور 1404 🎯مصاحبه با ر…

❤2

10 Nov 2026, 04:25 UTC28 viewsread 10 November 2026
Forwarded from @shivapeyrovani01

🫵 اگر داوطلب #ارشد_دکترای وزارت بهداشت 406 هستد وارد شوید 👇 https://t.me/addlist/TRp3xECstCo2ZDU5 https://t.me/addlist/EcCpSCF7Jno4MjU0 فقط 2 ساعت دیگه مهلت عضویت داری☝️

9 Nov 2026, 18:35 UTC95 viewsread 10 November 2026
Forwarded from @shivapeyrovani01

📚 امشب از ساعت 22 تا 10 صبح به مدت 12ساعت جزوات رشته های زیر را به صورت رایگان در کانالها گذاشته میشه، عضویت کاملا محـدود زبان ارشد وزارت بهداشت را امسال حرفه ای تر شروع کنید👈 @drkimiazaban

9 Nov 2026, 04:56 UTC30 viewsread 9 November 2026
Forwarded from @tabadllist

دسترسی رایگان به جزوات، کلاس‌ها و مشاوره بدون هیچ هزینه‌ای در دسترس است.👇📚 🔗 https://t.me/addlist/IXRKmeyHcBgxZDJk?from=@KeySazBot ================================ 🔗 https://t.me/addlist/8_2sKKdP5dBiMmQ0?from=@KeySazBot

8 Nov 2026, 18:46 UTC128 viewsread 9 November 2026
Forwarded from @tabadllist

جهت دسترسی به مجموعه‌ سوالات تستی و تشریحی به همراه پاسخ‌نامه تشریحی آزمون‌های علوم آزمایشگاهی ۱، ۲ و ۳، می‌توانید از طریق لینک‌های زیر در گروه‌ها و کانال‌های تخصصی ما عضو شوید ====================== 💥اگر شما هم جزو فارغ‌التحصیلان مقطع کارشناسی هستید و رویای پوشیدن روپوش سفید پزشکی را در سر دارید، این کانال دقیقاً همان جایی است که به آن نیاز دارید😍 @lisans_be_pezeshkie

8 Nov 2026, 07:11 UTC≈1,880 views110 reactionsread 11 November 2026

💠 اطلاعیه تمدید دوره ها با سلام و احترام، در خصوص تمدید دوره‌ها، به استحضار می‌رساند که این موضوع پیش‌تر از طریق کانال‌های کلاسی نیز توسط ادمین اعلام شده است. با توجه به شرایط حاکم بر کشور در سال جاری، تمامی دوره‌های مربوط به کنکور سال ۱۴۰۵ تا تاریخ ۱۵ آبان به‌صورت خودکار تمدید شده بودند. با این حال، جهت رعایت شرایط داوطلبان، شرایط تمدید دوره‌ها برای تمامی دانشجویان فعال گردیده و این وضعیت تا زمان اعلام نتایج اولیه …

😍32👍28👏27❤22🙏1

8 Nov 2026, 04:30 UTC23 viewsread 8 November 2026
Forwarded from @shivapeyrovani01

🫵 اگر داوطلب #ارشد_دکترای وزارت بهداشت 406 هستد وارد شوید 👇 https://t.me/addlist/TRp3xECstCo2ZDU5 https://t.me/addlist/EcCpSCF7Jno4MjU0 فقط 2 ساعت دیگه مهلت عضویت داری☝️

7 Nov 2026, 18:48 UTC99 viewsread 8 November 2026
Forwarded from @shivapeyrovani01

📚 امشب از ساعت 22 تا 10 صبح به مدت 12ساعت جزوات رشته های زیر را به صورت رایگان در کانالها گذاشته میشه، عضویت کاملا محـدود https://t.me/addlist/TRp3xECstCo2ZDU5

7 Nov 2026, 12:55 UTC≈1,470 views3 reactionsread 11 November 2026
Photo

​🔥 شروع کد 2 کلاس‌های جامع #آفلاین وبیناری بیوشیمی ​ با تدریس دکتر کاظم‌زاده 🧨پُررتبه‌ترین و پُرمخاطب‌ترین کلاس‌های بیوشیمی کشور 🧨 دارای بالاترین میانگین درصد بیوشیمی در سال‌های اخیر ​✨ ✨درخشش مداوم در تمامی گرایش‌ها:✨✨ نتایج درخشان کنکور 1404 نتایج درخشان سال های اخیر نابغه های بیوشیمی بالینی نابغه های بیوتکنولوژی پزشکی نابغه های ژنتیک پزشکی نابغه های هماتولوژی،ایمنی و ... مصاحبه رتبه های برتر 📒نمونه جزوه 📖خدمات…

❤3

Showing the 12 most recent of 142 posts we hold for @biochemistryK. 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.

Posts edited after publishing

@biochemistryK edited 1 post 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
8 August 2026
Most recent edit
8 August 2026

Posts recorded as deleted after publishing

We recorded 12 posts on @biochemistryK 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
7 August 2026
Most recent seen missing
4 November 2026
Median time before seen missing
17 hours
Seen missing in the last 30 days
3

Polls

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

21 Aug 2026, 13:51 UTCAnonymous Quiz262 voters

یک زن سیاه پوست 57 ساله به منظور بررسی سرطان، جزئی از روده بزرگ به عنوان نمونه برداشته می شود نمونه سلول های حاشیه سالمی نشان داده و هیچ درگیری غدد لنفاوی ومتاستاز در آن دیده نمی شود، کدام تومور مارکر را به نظارت وجلوگیری از عود بیماری، پیشنهاد می دهید؟

  1. a) Prostate-specific antigen (PSA)4%
  2. b) Cancer antigen 27-29 (CA 27-29)16%
  3. c) Cancer antigen 125 (CA-125)24%
  4. d) Carcinoembryonic antigen (CEA)47%
  5. e) Alpha-fetoprotein10%

Shares as published, totalling 101%. 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 142 most recent posts we hold, published 21 July 2026 to 11 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 66 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

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

نابغه ها | دکتر کاظم زاده
@kazemzadehK · 6,515
50 posts
طرح مشاوره | دکتر کاظم زاده
@KazemzadehT · 5,237
32 posts
نمونه تدریس بیوشیمی / کاظم‌زاده
@KazemzadehS · 6,646
23 posts
مشاوره ارشد و دکتری | دکترکاظم زاده
@KazemzadehM · 6,803
19 posts
بانک کتاب علوم پزشکی
@ketabepezeshki · 28,861
19 posts
Academic_science
@academic_science · 23,287
13 posts
آکادمی زبان ارشد دکتری (دکترمهاجرنیا)
@Drmohajernia_Eng_Acdmy · 21,342
11 posts
Gene Media (INNOVA Academy)
@genemedia · 17,415
8 posts
گروه آموزشی دکتر یزدان دوست (هماتولوژی / ایمنولوژی /ژنتیک / زبان / باکتری / بیوتکنولوژی / استخدامی علوم آزمایشگاهی / باکتری و...
@heamato · 14,278
8 posts
Lab_science
@Lab_science · 19,965
8 posts
آکادمی چکیده ایمونولوژی
@abstract_of_immunology · 10,507
7 posts
کانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma · 20,433
7 posts
مدرسه مجازی علوم پایه پزشکی
@basic_sciences_virtual_society · 10,222
7 posts
🎓 آکادمی زبان ارشد و دکتری | بردیا مهاجرنیا
@DrMohajernia_MHLE_IELTS_EPT · 8,114
7 posts
⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,449
7 posts
مشاوره تحصیلی دکترنامجو4 1 8- 7 9 4ارشد و‌دکترای وزارت بهداشت
@hematology_dr_namjoo · 11,749
7 posts
زبان پزشکی دکتر سیادت (گروه آموزشی دکتر یزدان دوست)
@medicallanguage · 20,499
7 posts
⭐️ سلولی ملکولی | دکتر مهدوی⭐️
@Mj_mahdavi97 · 7,194
7 posts
اطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 10,240
6 posts
تست بیوشیمی
@bioteest · 6,020
5 posts
آکادمی منافی
@Manafi_Academy · 9,809
5 posts
مشاوره و تدریس زبان ارشد پزشکی- استاد صفدری
@safdari_english · 10,076
5 posts
جزوات استخدامی علوم آزمایشگاهی
@Laboratory_handouts · 9,994
4 posts
فروش ویژه جزوات و کتب و کلاس های وزارت بهداشت
@ProfessorsBooklet · 8,435
4 posts

Names

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

نابغه ها | دکتر کاظم زاده
@kazemzadehK · 6,515
27 posts
نمونه تدریس بیوشیمی / کاظم‌زاده
@KazemzadehS · 6,646
13 posts
Gene Media (INNOVA Academy)
@genemedia · 17,415
12 posts
کانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma · 20,433
10 posts
کامنت های دانشجویان : کاظم زاده
@KazemzadehN · 5,405
10 posts
طرح مشاوره | دکتر کاظم زاده
@KazemzadehT · 5,237
10 posts
دورهمی بیوما
@arabbioma2 · 11,566
9 posts
🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,440
9 posts
مدرسه مجازی علوم پایه پزشکی
@basic_sciences_virtual_society · 10,222
9 posts
️ گروه بایوکا (بیوشیمی کاظم زاده)
@biokaaaa · 6,635
9 posts
INNOVA Books (Consulting)
@BrinsicaBooks · 8,073
9 posts
کانال ژنتیک پزشکی گروه آموزشی دکتر یزدان دوست
@geneticmedical · 10,905
9 posts
مشاوره تحصیلی دکترنامجو4 1 8- 7 9 4ارشد و‌دکترای وزارت بهداشت
@hematology_dr_namjoo · 11,749
9 posts
اطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 10,240
9 posts
نکته و تست ایمنی شناسی پزشکی بر اساس ابولعباس
@imonology_2022 · 6,211
9 posts
آکادمی منافی
@Manafi_Academy · 9,809
9 posts
طرح مشاوره/ خانم منافی
@ManafiF · 7,586
9 posts
اخبار کنکورهای وزارت بهداشت/استخدامی🍀🌸
@akhbareestekhdamiha · 7,445
8 posts
بیوشیمی لیسانس به پزشکی
@biochemistry_p · 5,646
8 posts
تست بیوشیمی
@bioteest · 6,020
8 posts
⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,449
8 posts
🎙ImmunoRadio™
@ImmunoRadio · 5,723
8 posts
مشاوره ارشد و دکتری | دکترکاظم زاده
@KazemzadehM · 6,803
8 posts
دکتر خسروپور- بیوشیمی، سلولی- مولکولی
@molecularbiocell · 10,276
8 posts

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.

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.

کانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma · 20,433
Telegram ranks this channel #7 of 94 here — alongside 93 others — read 30 September 2026
آکادمی زبان ارشد دکتری (دکترمهاجرنیا)
@Drmohajernia_Eng_Acdmy · 21,342
Telegram ranks this channel #9 of 88 here — alongside 87 others — read 23 September 2026
لب‌تل نیازمندی آزمایشگاه‌های ایران
@LabTel · 29,022
Telegram ranks this channel #9 of 85 here — alongside 84 others — read 9 September 2026
Academic_science
@academic_science · 23,287
Telegram ranks this channel #10 of 78 here — alongside 77 others — read 20 September 2026
کانال سلولی و مولکولی دکتر ابرقوئی
@Dr_abarghooi · 20,570
Telegram ranks this channel #13 of 92 here — alongside 91 others — read 29 September 2026
English For All (EFA)
@Ellipsis50 · 21,064
Telegram ranks this channel #47 of 97 here — alongside 96 others — read 24 September 2026
لینک بدون فیلتر بت فوروارد بتفوروارد ★
@Betforward_filter · 108,990
Telegram ranks this channel #48 of 53 here — alongside 52 others — read 18 August 2026
زبان پزشکی دکتر سیادت (گروه آموزشی دکتر یزدان دوست)
@medicallanguage · 20,499
Telegram ranks this channel #59 of 92 here — alongside 91 others — read 29 September 2026

This channel appears in 8 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“️ بیوشیمی | دکتر کاظم زاده ️” (@biochemistryK), 18,860 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/biochemistryK.

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.