☑️Malaria Lifecycle Part 1: Human Host🦠🚶🏻♂️🔄 #Malaria #HIV #AIDS #WEHImovies @cytology @medterms @IranBiologists @essential_biochemistry
Signed محمد قربانی

Channel
@cytology
On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
2,270subscribers
-1 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001000744904 |
|---|---|
| Type | Channel |
| Username | @cytology |
| Created | Between 1 September 2015 and 31 December 2015— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 12 August 2026 |
| On Telegram | t.me/cytology |
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 10:32 | 2,270 | -1 |
| 6 Aug 2026, 05:52 | 2,271 | no change |
| 5 Aug 2026, 17:36 | 2,271 | first reading |
20 posts held, back to 11 August 2021 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 19 October 2021. An engagement rate over an empty window would be a number about nothing.
Measured directly from 19 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.
☑️Malaria Lifecycle Part 1: Human Host🦠🚶🏻♂️🔄 #Malaria #HIV #AIDS #WEHImovies @cytology @medterms @IranBiologists @essential_biochemistry
Signed محمد قربانی
☑️Malaria Lifecycle Part 2:Mosquito Host🦠🦟🔄 #Malaria #HIV #AIDS #WEHImovies @cytology @medterms @IranBiologists @essential_biochemistry
Signed محمد قربانی
☑️MRI During Pregnancy( 8 months )👼🏼🤰🏻 @cytology @medterms @IranBiologists @essential_biochemistry
Signed محمد قربانی
☑️Insulin Production and Type 1 Diabetes @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️Clonal Selection Theory 🔅is a scientific theory in immunology that explains the functions of cells of the immune system (lymphocytes) in response to specific antigens invading the body 🔅The theory states that in a pre-existing group of lymphocytes (specifically B cells), a specific antigen activates only its counter-specific cell, which then induces that particular cell to multiply, producing identical clones fo…
Signed ✨Reza
☑️Chromatin structure ☑️Euchromatin and Heterochromatin regulation #Euchromatin #Heterochromatin @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️Kinetochore and mitosis @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️DNA 3D Animation, Chromosome Structure Animation🧬 @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️Multi Scale Modeling of Chromatin and Nucleosomes @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️How does DNA fold? The loop extrusion model #Clonal_Selection_Theory #WEHImovies @cytology @medterms @IranBiologists @essential_biochemistry
Signed ✨Reza
☑️Epigenetics_ X inactivation: 🔅X inactivation is a vital process that occurs in all DNA-containing cells of the female body.X inactivation is a type of gene dosage compensation. 🔅Because females receive two X chromosomes, they inherit two copies of many of the genes that are needed for normal function. Extra copies of genes or chromosomes can affect normal development. An example is Down's syndrome, which is caused …
Signed ✨Reza
The Cell pinned Deleted message
Showing the 12 most recent of 20 posts we hold for @cytology. 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.
Citation-graph rank — 1,394,516 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's 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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“The Cell” (@cytology), 2,270 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/cytology.
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.