🔮 تحلیل خط به خط سوالات ازمون ارشد دکتری وزارت بهداشت، پنجشنبه و جمعه صبح و عصر 405 در لینک زیر 👇 https://t.me/addlist/TRp3xECstCo2ZDU5 https://t.me/addlist/EcCpSCF7Jno4MjU0

Channel
کانال سلولی مولکولی دکتر عرب_بیوما
@arabbioma
On this record: Topic · 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
20,310subscribers
+1,101 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 | -1001358052302 |
|---|---|
| Type | Channel |
| Username | @arabbioma |
| Description | کانال علمی آموزشی منصور عرب 🔰مولف کتاب جامع، چکیده نکات، بیوماتست 🔰ارشد ایمنی و دکترای سلولی کاربردی دانشگاه تهران 🔰مدرس و مشاور سلولی بیش از 15 سال 🔰با بیشترین آمار قبولی @Mansourarab1 https://www.instagram.com/arabbioma |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/arabbioma |
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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 23:39 | 20,310 | +13 |
| 4 Nov 2026, 22:27 | 20,297 | -5 |
| 3 Nov 2026, 21:01 | 20,302 | +19 |
| 2 Nov 2026, 19:07 | 20,283 | +14 |
| 1 Nov 2026, 21:46 | 20,269 | +17 |
| 31 Oct 2026, 20:20 | 20,252 | +19 |
| 30 Oct 2026, 18:47 | 20,233 | +20 |
| 29 Oct 2026, 18:28 | 20,213 | +23 |
| 28 Oct 2026, 19:09 | 20,190 | +20 |
| 27 Oct 2026, 20:38 | 20,170 | +13 |
| 26 Oct 2026, 21:18 | 20,157 | +13 |
| 25 Oct 2026, 20:27 | 20,144 | +7 |
| 24 Oct 2026, 20:30 | 20,137 | +11 |
| 23 Oct 2026, 22:19 | 20,126 | +12 |
| 22 Oct 2026, 22:58 | 20,114 | +23 |
| 21 Oct 2026, 21:46 | 20,091 | +23 |
| 20 Oct 2026, 14:29 | 20,068 | +12 |
| 19 Oct 2026, 14:39 | 20,056 | +13 |
| 18 Oct 2026, 13:38 | 20,043 | +3 |
| 17 Oct 2026, 15:17 | 20,040 | first reading |
Engagement
132 posts held, back to 26 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 68 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.00%
- avg views ÷ 20,310 subscribers
- Avg views / post
- 1,420
- 29 posts measured
- Reaction rate
- 0.142%
- reactions ÷ views · ER floor
- Posts in window
- 29
- of 132 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 15 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 132 (26 July 2026 – 6 November 2026) |
| Views total | 41,255 |
| Reactions total | 35 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 05:17 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
- Photos
- ≈3,730
- Videos
- ≈93
- Links
- ≈695
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 8h 11m
- Average length
- 32m 46s
Measured directly from 15 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
628 reactions across 75 posts, in 6 distinct kinds. The most used accounts for 84.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 530 | 84.4% | |
| 🙏 | 30 | 4.78% | |
| 🤔 | 27 | 4.30% | |
| 👍 | 20 | 3.18% | |
| 👏 | 16 | 2.55% | |
| 🥰 | 5 | 0.796% |
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 81 of the 132 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 628 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 132 most recent posts we hold, published 26 July 2026 to 6 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: 13 of 29 posts held from the last 30 days (44.8%) 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).
🫵 تحلیل سوالات ارشد دکتری وزارت بهداشت، تمامی رشته ها #توسط_اساتید برتر #دانشگاه_تهران و #بهشتی روی رشته خود کلیک کنید تحلیل سوالات با رفع اشکال همراه شوید👇 https://t.me/addlist/TRp3xECstCo2ZDU5
✍رفرنس اعتراض به سوال 8 دکترای بیوشیمی گزینه اعلامی 2 اما طبق صفحه 149 نسخه الکترونیک لودیش 2021 شکل 6_1، D-سرین هم جزو ریزمولکول های زیستی هست. لذا سوال جواب صحیح ندارد. @mansourarab1 @arabbioma
🙏2🤔1
✍رفرنس اعتراض به سوال 44 علوم آز 1 نسخه الکترونیک لودیش 2021 ص 3685 پاراگراف 1 خط 4 و 5 دامنه پتانسیل عمل، با شدت محرک افزایش می یابد. گزینه اعلامی 3 اما علاوه بر این گزینه، گزینه های 1 و 2 نیز صحیح هستند. @mansourarab1 @arabbioma
❤8
📚 منابع جامع آزمون علوم آزمایشگاهی (۱، ۲ و ۳) شامل سوالات تستی، تشریحی و پاسخنامه کامل. جهت عضویت در لیست کانالهای تخصصی، کلیک کنید: https://t.me/addlist/IXRKmeyHcBgxZDJk?from=@KeySazBot https://t.me/addlist/8_2sKKdP5dBiMmQ0?from=@KeySazBot
✅ دنبال سوالات آزمون علوم آزمایشگاهی میگردی؟ اگه میخوای سوالات و پاسخهای کامل و دقیق آزمونهای علوم آزمایشگاهی ۱، ۲ و ۳ رو داشته باشی، حتماً عضو این کانالها و گروهها شو 😍 کمک به یادگیری بهتر و آمادگی برای آزمونهای پیشرو! ====================== ♻️بیوماتست دکتر عرب به زودی منتشر می شود (همراه با تحلیل سوالات امسال) @arabbioma
⏱بیوشیمی پایه تا پیشرفته بر اساس رفرنس هارپر @biochemistryk ⏱کانال تقویت روزمه و مقاله نویسی @academic_science ⏱درسنامه زبان تخصصی وزارت بهداشت +MHLE @medicallanguage ⏱#تحلیل مصور و صوتی سوالات ۱۰ سال اخیر آزمون ژنتیک پزشکی (استاد فراهانی) @genemedia ⏱☄️متفاوت ترین کلاس ایمنی(توربوایمونولوژی)☄️ @hematology_dr_namjoo ⏱دنیای فایل /کتاب های علوم پزشکی @culppezeshki2020 ⏱🧬کلاس جامع ژنتیک + نکات طلایی امری @genetic…
سلام خدمت همراهان عزیز کانال و گروه بیوما بانک کتاب بیوما به درخواست شما عزیزان مجددا فعال شد هر کتاب علوم پزشکی که خواستید با تخفیف ویژه و هزینه ی ارسال پایین به ما سفارش بدید 😍 هزینه ارسال برای سفارش های بیش از ۴ جلد #رایگان می باشد در هر شرایطی در کنارتون هستیم ❤️ ارتباط با ادمین 👇 @mansourarab1 @biomabook
🎈بانک کتاب بیوما📚 💡💡💡💡 🟢بانک کتاب بیوما مجددا با درخواست شما عزیزان فعال شد ✨✨✨✨✨✨✨✨✨✨✨ 💖حالا هر کتب علوم پزشکی که بخواید با تخفیف 10 درصدی میتونید از ما تهیه کنید 🛍هر کجا هستید کتاب هاتون رو سالم، با تخفیف و در سریع ترین حالت دریافت به ما سفارش بدید 📌کد مرسوله ها هم در کانال بانک کتاب بیوما بارگزاری میشه تا بدونید کتابتون تو چه مرحله ای از پسته ⬇️اینم خدمتی دیگه از کانال بیوما😀 @biomabook
✍ رفرنس اعتراض به سوال 4 دکترای بیوشیمی گزینه اعلامی 2 هست. اما طبق نسخه الکترونیک لودیش 2021 ص 403 پاراگراف 1 خط 9 تا 11 موتیف وقتی از بقیه پروتئین جدا شود ساختار پایدار ندارد و اگر ساختار پایدار بگیرد آنگاه بدان دمین میگویند. لذا گزینه 3 نیز جواب می باشد و سوال دارای 2 گزینه هست: other structural motifs do not form thermodynamically stable structures in the absence of other portions of the protein and are thus …
🙏4
✍رفرنس اعتراض به سوال 64 علوم آز2 گزینه اعلامی 1 می باشد که غلط هست. طبق نسخه الکترونیک لودیش 2021 صفحه 4087 پاراگراف اول خط 5 گزینه صحیح 3 می باشد. کروموزوم فیلادلفیا در اثر جابجایی کروموزومی بین کروموزوم های 9 و 22 بوجود می آید: the Philadelphia chromosome, which is generated by a translocation between chromosomes 22 and 9. @mansourarab1 @arabbioma
🙏3
#ارشد_ویروس 🔹سلولی 51% @arabbioma
Showing the 12 most recent of 132 posts we hold for @arabbioma. 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
@arabbioma edited 3 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
- 19 August 2026
- Most recent edit
- 29 August 2026
Posts recorded as deleted after publishing
We recorded 14 posts on @arabbioma 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
- 5 November 2026
- Median time before seen missing
- 33 hours
- Seen missing in the last 30 days
- 3
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.
آزمونک رونویسی در ف ایند پردازش miRNA، کدام عامل زیر فقط در سیتوزول فعالیت دارد؟ @arabbioms
- Drosha19%
- Exportin519%
- DGCR814%
- Dicer48%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
آزمونک رونویسی کدامیک از فاکتورهای زیر باعث تحریک TFIIH می شود؟ @arabbioma
- TFIID26%
- TFIIB22%
- TFIIE46%
- TFIIC6%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
آزمونک رونویسی کدامیک از RNA های زیر، ساختار سوم ندارد؟ @arabbioma
- ریبوسوئیچ11%
- ساقه_حلقه28%
- گره کاذب18%
- دو انتهای mRNA ها43%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
آزمونک رونویسی کدامیک از موارد زیر در ژنهای تخصصی دیده شده و توالی به شدت حفاظت شده ای دارد؟ @arabbioma
- CG11%
- TATA70%
- Inr11%
- DPE8%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
آزمونک رونویسی کدامیک مانع از بیان ژنهای رده I می شود؟ @arabbioma
- miRNA41%
- PiRNA29%
- pRNA18%
- VARNA11%
Shares as published, totalling 99%. 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 132 most recent posts we hold, published 26 July 2026 to 6 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 89 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.
@ketabepezeshki · 28,77621 postsAcademic_science
@academic_science · 23,21917 postsآکادمی زبان ارشد دکتری (دکترمهاجرنیا)
@Drmohajernia_Eng_Acdmy · 21,34915 postsرتبه برترهای دکتر عرب
@rotbebartar_arab · 7515 postsGene Media (INNOVA Academy)
@genemedia · 17,28614 postsگروه آموزشی دکتر یزدان دوست (هماتولوژی / ایمنولوژی /ژنتیک / زبان / باکتری / بیوتکنولوژی / استخدامی علوم آزمایشگاهی / باکتری و...
@heamato · 14,13313 postsمدرسه مجازی علوم پایه پزشکی
@basic_sciences_virtual_society · 10,16012 postsزبان پزشکی دکتر سیادت (گروه آموزشی دکتر یزدان دوست)
@medicallanguage · 20,40812 postsمشاوره تحصیلی دکترنامجو4 1 8- 7 9 4ارشد ودکترای وزارت بهداشت
@hematology_dr_namjoo · 11,75411 postsمشاوره و تدریس زبان ارشد پزشکی- استاد صفدری
@safdari_english · 10,02311 postsآکادمی چکیده ایمونولوژی
@abstract_of_immunology · 10,35510 posts️ بیوشیمی | دکتر کاظم زاده ️
@biochemistryK · 18,74010 posts⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,43110 postsاطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 10,17010 posts🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,4019 postsLab_science
@Lab_science · 19,9059 postsآکادمی منافی
@Manafi_Academy · 9,8339 postsکانال MHLE / MSRT گروه آموزشی دکتر یزدان دوست
@DR_MHLE_MSRT · 9,8818 posts🎓 آکادمی زبان ارشد و دکتری | بردیا مهاجرنیا
@DrMohajernia_MHLE_IELTS_EPT · 8,0868 postsکانال ژنتیک پزشکی گروه آموزشی دکتر یزدان دوست
@geneticmedical · 10,8818 posts🏅 Genetics A.S 🏅
@GeneticsAS · 12,1328 postsکانال ایمونولوژی استاد عالی
@immunologyaali · 10,8387 postsطرح مشاوره/ خانم منافی
@ManafiF · 7,5596 postsTAM Educational Group | گروه آموزشی تام
@TAM_EdG · 9,8496 posts
Names
Channels on the register whose handles appear in this channel's posts.
@arabbioma2 · 11,54713 postsGene Media (INNOVA Academy)
@genemedia · 17,28612 posts🚨کتابکده آرسو-ارسال کتب پزشکی به سراسرایران🚨
@Arso0ketabkade · 9,40111 postsمدرسه مجازی علوم پایه پزشکی
@basic_sciences_virtual_society · 10,16011 postsINNOVA Books (Consulting)
@BrinsicaBooks · 8,07811 postsمشاوره تحصیلی دکترنامجو4 1 8- 7 9 4ارشد ودکترای وزارت بهداشت
@hematology_dr_namjoo · 11,75411 postsاطلس هماتولوژی دکتر یزدان دوست💞
@hematologyatlas · 10,17011 postsنکته و تست ایمنی شناسی پزشکی بر اساس ابولعباس
@imonology_2022 · 6,11411 postsآکادمی منافی
@Manafi_Academy · 9,83311 postsطرح مشاوره/ خانم منافی
@ManafiF · 7,55911 postsAcademic_science
@academic_science · 23,21910 postsاخبار کنکورهای وزارت بهداشت/استخدامی🍀🌸
@akhbareestekhdamiha · 7,19310 postsبیوشیمی لیسانس به پزشکی
@biochemistry_p · 5,63510 postsتست بیوشیمی
@bioteest · 6,01510 postsشیمی عمومی و آلی | گروه آموزشی دکتر کاظم زاده
@ChemistryKa · 6,62410 postsکلاس مجازی ایمنولوژی دکتر یزدان دوست
@dr_immunology · 5,46710 postsآکادمی زبان ارشد دکتری (دکترمهاجرنیا)
@Drmohajernia_Eng_Acdmy · 21,34910 postsکانال ژنتیک پزشکی گروه آموزشی دکتر یزدان دوست
@geneticmedical · 10,88110 posts⭐️ فیزیولوژی || پزشکی ⭐️
@guiton_97 · 10,43110 posts🎙ImmunoRadio™
@ImmunoRadio · 5,68110 postsمشاوره ارشد و دکتری | دکترکاظم زاده
@KazemzadehM · 6,79710 postsکامنت های دانشجویان : کاظم زاده
@KazemzadehN · 5,39210 postsنمونه تدریس بیوشیمی / کاظمزاده
@KazemzadehS · 6,63510 postsطرح مشاوره | دکتر کاظم زاده
@KazemzadehT · 5,23510 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@arabbioma named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 4 posts, 8 August 2026 – 12 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
@DrRazaviyan · 8,100#1
@Dr_abarghooi · 20,463#2
@immunologynasri · 8,939#3
@hematology_dr_namjoo · 11,754#4
@TAM_EdG · 9,849#5
@AR_Akbaricelluli · 7,709#6
@biochemistryK · 18,740#7
@genemedia · 17,286#8
@drkhaliligroup · 12,821#9
@kheirollahibiochem · 10,092#10
@DrAkbariShimi · 2,639#11
@GeneticsAS · 12,132#12
@Rotbebartara · 8,943#13
@DrKhaliliAmoozesh · 6,942#14
@laboratoryfellowship · 14,062#15
@immunologyaali · 10,838#16
@Farahani_Moshavereh · 9,515#17
@EmeryPlus · 9,639#18
@class_biochem · 8,437#19
@arshadbehdasht2microb · 11,577#20
@safdari_english · 10,023#21
@Drmohajernia_Eng_Acdmy · 21,349#22
@tums_sams · 989#23
@abstract_of_immunology · 10,355#24
@immunology_daneshvar · 9,203#25
@amoozeshgah_dr_bolboli · 6,292#26
@mls_tums · 3,291#27
@virology_moradi · 6,968#28
@drjafarnezhad · 8,742#29
@amirrezasafdarian · 6,527#30
@phdbacteri · 5,438#31
@bacteri_karimbakhsh · 3,724#32
@heamato · 14,133#33
@KazemzadehS · 6,635#34
@ellipsis1400 · 9,288#35
@Medico_Ch · 1,416#36
@azmoon_drkhaliligroup · 2,395#37
@BioCAN_channel · 3,301#38
@medgenclass · 1,478#39
@CMB_tabriz · 1,733#40
@kazemzadehK · 6,497#41
@biochemistry1367 · 8,416#42
@The_ABCs_of_Immunology · 6,545#43
@bacteri_0ta100 · 10,733#44
@DrkhaliliSari · 3,275#45
@geneticmedical · 10,881#46
@PDFllab · 16,339#47
@KazemzadehM · 6,797#48
@bacteriology_Torabi · 3,047#49
@medicallanguage · 20,408#50
@labkaramouziii · 11,933#51
@WIKI1GENE · 7,251#52
@MLSSA_SBMU · 1,564#53
@phdpezeshki · 4,963#54
@hematoir · 681#55
@Biological_Events · 3,558#56
@naji_foundation_mls · 334#57
@zabanpezeshkiRMG · 9,790#58
@Irangene · 5,044#59
@Manafi_Academy · 9,833#60
@molecularbiocell · 10,195#61
@anjoman_iacld16553 · 2,992#62
@drnamjo · 247#63
@KazemzadehT · 5,235#64
@culppezeshki2020 · 11,299#65
@Biolochemistry · 10,720#66
@Genbank39 · 3,633#67
@medical_genetik · 5,052#68
@medtweeet · 85,272#69
@DrNbiochemistry · 8,151#70
@isaclcongress · 2,339#71
@Ellipsis50 · 21,093#72
@time_2learnenglish · 317#73
@ChemistryKa · 6,624#74
@LabTel · 28,982#75
@drkhalilitabriz · 632#76
@geniranlab · 5,331#77
@bioteest · 6,015#78
@IMMUNOLOGY_Education · 6,433#79
@Ir_Genetics_Academy · 13,984#80
@Mj_mahdavi97 · 7,178#81
@Lab_azmoon · 4,859#82
@laboratoryeivazzadeh · 593 (as read 30 September 2026)#83
@lisans_pezeshkiii · 6,672#84
@medical_sana · 14,499#85
@MLSSA_IUMS · 1,013#86
@kianibiochemistry · 4,726#87
@National_book · 9,268#88
@Molecular_Cell_Point · 2,229#89
@UIBiologists · 30,366#90
@biochemistryland · 1,146#91
@English_with_Khodadadi · 16,535#92
@Dr_Saeidian · 4,123#93
@just1wordperday · 13,182#94
Read from Telegram’s recommendation API, most recently 30 September 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.
@Dr_abarghooi · 20,463
Telegram ranks this channel #1 of 92 here — alongside 91 others — read 29 September 2026
@Drmohajernia_Eng_Acdmy · 21,349
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 23 September 2026
@medicallanguage · 20,408
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 29 September 2026
@Ellipsis50 · 21,093
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 24 September 2026
@LabTel · 28,982
Telegram ranks this channel #15 of 85 here — alongside 84 others — read 9 September 2026
@PDFbankdaro · 32,275
Telegram ranks this channel #43 of 94 here — alongside 93 others — read 5 September 2026
This channel appears in 6 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“کانال سلولی مولکولی دکتر عرب_بیوما” (@arabbioma), 20,310 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/arabbioma.
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.