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Channel

Юсипова - системная медицина!

@yusipovacom

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

54,593subscribers

+1,435 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-1001119507903
TypeChannel
Username@yusipovacom
Created2 April 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/yusipovacom

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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

53,15854,59353,875.56 August 20268 November 2026
63 measurements spanning 94 days, net +1,435. 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 52,943–54,808 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
8 Nov 2026, 14:0754,593+31
7 Nov 2026, 08:4654,562+6
6 Nov 2026, 08:5854,556-4
5 Nov 2026, 07:1654,560-4
4 Nov 2026, 03:3654,564+5
3 Nov 2026, 02:0654,559+15
2 Nov 2026, 01:5954,544-3
1 Nov 2026, 04:2154,547-2
31 Oct 2026, 07:5154,549+36
30 Oct 2026, 04:2654,513-15
29 Oct 2026, 02:2854,528+31
28 Oct 2026, 03:2654,497+48
27 Oct 2026, 05:2054,449+7
26 Oct 2026, 04:5754,442-7
25 Oct 2026, 01:4554,449-3
24 Oct 2026, 04:0754,452+4
22 Oct 2026, 01:3954,448-12
20 Oct 2026, 21:0454,460+21
19 Oct 2026, 17:4854,439-12
18 Oct 2026, 19:2654,451first reading

Engagement

41 posts held, back to 23 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 189 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.3%
avg views ÷ 54,593 subscribers
Avg views / post
10,500
14 posts measured
Reaction rate
2.43%
reactions ÷ views · ER floor
Posts in window
14
of 41 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held41 (23 July 2026 – 7 November 2026)
Views total147,460
Reactions total3,588
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 11:31 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
17s
Average length
9s

Measured directly from 2 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

12,147 reactions across 41 posts, in 30 distinct kinds. The most used accounts for 60.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7,37560.7%
🔥2,12817.5%
👍1,88615.5%
🙏3322.73%
👌900.741%
❤‍🔥830.683%
🤔550.453%
💯480.395%
⚡450.37%
👀180.148%
✍160.132%
👏120.099%
🥰120.099%
🤗90.074%
🏆50.041%
🦄50.041%
🎉40.033%
🕊40.033%
💋30.025%
🍌20.016%
10 further kinds150.123%

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 41 of the 41 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 12,147 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 23 July 2026 to 7 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
41
across the posts below
Posts paid on
24
of 41 we hold a reading for · 59%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @yusipovacom. 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 41 most recent posts we hold for this entry, published 23 July 2026 to 7 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: 5 of 14 posts held from the last 30 days (35.7%) 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).

7 Nov 2026, 15:26 UTC≈5,090 views221 reactionsread 8 November 2026

Какие сардины вы выбираете для сардиновой диеты? В лонгриде про сардиновую диету я разбирала исследование из Барселоны: две банки сардин в оливковом масле в неделю, и через год у людей с предиабетом доля очень высокого риска диабета упала с 37 до 8 %. Сардины там были консервированные. Сколько омега-3 переживает стерилизацию и хранение? Ответ дал систематический обзор 2026 года: 20 исследований о жирах в рыбных кон…

❤143🔥51👍20🙏5❤‍🔥2

5 Nov 2026, 15:55 UTC≈6,960 views178 reactionsread 8 November 2026

Posted without readable text

❤122👍30❤‍🔥16⚡10

4 Nov 2026, 14:57 UTC≈8,000 views159 reactionsread 8 November 2026

Posted without readable text

❤108👍43🙏8

2 Nov 2026, 14:19 UTC≈9,210 views175 reactionsread 8 November 2026

Почему при нехватке железа тянет жевать лёд – и что холод делает с вниманием У Мелиссы Хант, психолога из Пенсильванского университета, была подруга с железодефицитной анемией. За день она сгрызала огромное количество льда и объясняла это так: «Это как чашка кофе. Я не чувствую себя проснувшейся, пока у меня в руке нет стакана со льдом». Хант пересказала эти слова журналистам, когда в 2014 году опубликовала свою ра…

❤128🔥28👌15👍4

31 Oct 2026, 16:19 UTC≈10,800 views199 reactions1 Starread 8 November 2026

Растительный протеин берут как самый чистый. Почему тогда в нём больше всего свинца? Банка с надписью «растительный», ложка в утренний коктейль, иногда половина достаётся подростку после тренировки. «Горох же, никакой химии» – почти салат в банке. В лабораторной проверке в среднем больше всего свинца нашли как раз в таких банках. Как так вышло и сколько это в цифрах? ПРОВЕРКА 14 октября 2025 года американская потре…

❤129👍34🙏17🔥14🤔5

29 Oct 2026, 17:44 UTC≈11,200 views360 reactions2 Starsread 8 November 2026

Posted without readable text

❤247👍59🔥41🙏6❤‍🔥4👌2🎉1

27 Oct 2026, 14:36 UTC≈10,700 views362 reactions1 Starread 8 November 2026

Posted without readable text

🔥245❤97👍19👌1

25 Oct 2026, 17:08 UTC≈14,600 views272 reactions2 Starsread 8 November 2026
Photo

Два яйца и протеиновый кофе на завтрак. Белок на сегодня закрыт? В двух яйцах около 13 г белка. Чтобы мышца получила сигнал «строить», за один приём нужно 25–30 г, в такой порции 2,5–3 г лейцина. Добавьте к яйцам 170 г греческого йогурта, и порция набрана. Пороги нашли у людей старше 60, для 40–50 лет это ориентир (PMID: 38765819). Что в кофе, зависит от банки. Две группы женщин около 69 лет шесть дней пили по 30 г…

❤194🔥42👍19⚡12🎉2✍1👌1🤔1

22 Oct 2026, 15:57 UTC≈12,200 views260 reactions1 Starread 8 November 2026

Пить ли витамин D и омега-3 «для памяти»? В Китае проверили их по отдельности и вместе на 360 пожилых людях. Через год у тех, кто принимал обе добавки, IQ вырос на 12,7 пункта больше, чем на плацебо. Правда, к этой цифре у меня есть вопросики. Кого проверяли? Людей от 65 лет с умеренными когнитивными нарушениями (MCI): память уже хуже возрастной нормы, но это ещё не деменция. Их разделили на четыре группы по 90 чело…

❤159👍78🙏14❤‍🔥5⚡3🔥1

21 Oct 2026, 16:45 UTC≈11,800 views167 reactions4 Starsread 8 November 2026

Posted without readable text

❤121👍27🔥9🙏6❤‍🔥2🥰2

17 Oct 2026, 17:38 UTC≈12,200 views322 reactions1 Starread 8 November 2026
Photo

Кане Танака любила газировку и шоколад и дожила до 119 лет. В ленте эту историю приводят как довод: «вот, пила колу, а нам всё запрещают». Только в той же биографии есть детали, о которых вспоминают реже: в 45 лет ей оперировали рак поджелудочной железы, а в 103 года – рак толстой кишки. Три года назад я писала о ней к 8 Марта (https://t.me/yusipovacom/1373). Сама Кане благодарила веру, семью, хороший сон и вкусную …

❤220💯42👍36🔥18🙏4👌1🥰1

15 Oct 2026, 17:42 UTC≈12,000 views276 reactionsread 7 November 2026

Инсулинорезистентность бывает мышечная и печёночная Когда пишут «у меня инсулинорезистентность», я хочу уточнить: где именно? Инсулин работает в разных органах, и чувствительность к нему у них разная. Мышцы забирают себе большую часть сахара после еды. Если они плохо реагируют на инсулин, сахар уходит из крови медленно. Печень ночью и натощак выпускает глюкозу в кровь, а инсулин должен её притормаживать. Если тормо…

❤181🔥52👍31👌4💋3🙏3💯1🤗1

Showing the 12 most recent of 41 posts we hold for @yusipovacom. 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.

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 7 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.

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.

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.

Helena Kornilova / Елена Корнилова
@helenkornilova · 181,798
#1
Doclana.mornatural
@doclana_mornatural · 31,959
#2
Доктор Владимир Попов | detsdoc
@detsdoc · 58,245
#3
Дарья Ермишина
@dr_ermishina · 16,117
#4
Доктор Виктория Орлинская
@cardiodokstories · 162,211
#5
Химия Пищи/Биохакинг/ А.Родионова
@ximiya_tasya_ro · 24,185
#6
Высшее нутрициологическое
@evdokimova_nutri · 12,341
#7
Доктор Блюм / Doktor_Blum
@Dr_Blum · 15,297
#8
Кулинарная медицина. Рецепты здоровья Кати Янг
@katya_young · 33,094
#9
Здравомыслие в еде
@zdravomislievede · 31,920
#10
vladimirfo — Владимир Фокин
@vladimirfo77 · 9,918
#11
Нутрициология, диетология и Аюрведа с Dr.Robertovna
@dr_robertovna · 10,057
#12
Алла, крестная мать биохакинга
@alla_dietolog · 13,159
#13
Gourmanistic
@gourmanistic · 4,866
#14
CNM
@cnmrus · 5,644
#15
Врач Хисамова Ирина Валерьевна
@ihisamova · 16,791
#16
Превентэйдж
@preventagecom · 13,412
#17
Биохимия здоровья | Анастасия Бакирова
@bakirova_nutritionist · 6,388
#18
ИЗБА МОЛОДИЛЬНЯ
@izbamolodilnya · 21,101
#19
Аюрведа и интегративная нутрициология / Крушанова Юлия
@krushanova · 21,498
#20
Doctor_alina
@doctor_alina_enikeeva · 24,399
#21
Доктор Поляков
@docfunctional · 17,437
#22
Нейронутрициология
@neuro_nutrition · 6,677
#23
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ
@mazaevdoc · 36,251
#24
ДОКТОР ЭЛЯ
@dzhobavaeliso · 32,008
#25
Ирина Шиманская Holistica
@tibetdoc · 78,886
#26
Ободзинская Татьяна Евгеньевна
@obodzinskaya · 7,933
#27
Ирина Фаритова | Нутритерапевт 🇬🇧 CNM | коуч 🇺🇸 IIN
@faritova_nutrition · 10,995
#28
Доктор Королёв
@dockorolev_channel · 7,631
#29
Доктор Анна Читанава
@annacheeta · 33,695
#30
Биохимия. Просто о сложном
@simplebestbiochemistry · 5,435
#31
Заметки невролога Овсянникова КС
@zametki_nevrologa · 72,056
#32
OGMed — Академия функциональной медицины Ольги Гофман
@neurokids_gofman_official · 14,106
#33
Endo_doc_
@endo_doc1 · 9,716
#34
Доктор Зубарева / Doctor Zubareva
@doctor_zubareva · 400,128
#35
УОМ
@uom_education · 16,484
#36
Ксения Машкина
@dr_mashkina · 74,083
#37
Доктор Гульфия Робертовна👩🏻‍⚕️
@pavlova_integradoc · 6,868
#38
Секреты женского гормонального здоровья | Аюрведа
@krushanova_hormones · 2,209
#39
Генетик Карина Ким
@dr_karina_kim · 4,606
#40
Я — health-коуч | УОМ
@iamhcuom · 7,796
#41
Нутрициология | DoctorPolyakoff
@fantel_nutrio · 2,484
#42
Школа иммунитета Елены Чуриной 👩🏼‍🎓
@shkolaimmuniteta · 3,425
#43
Leonov chef
@leonovchef · 51,010
#44
Записки научного материалиста (Ольга Ковган)
@olgakovganzapiski · 1,495 (as read 24 August 2026)
#45
АНЧА БАРАНОВА
@anchabaranova · 35,896
#46
МАПОМ | Канал
@inter_apem · 1,300
#47
PreventEra
@preventEra · 8,677
#48
Доктор Зимина В.В.🌿 @doctor_vittoria
@gastroenterologandme · 5,361
#49
Что-то на полезном
@napoleznom · 10,075
#50
Превентивная педиатрия Диляры Ай (Талыповой)
@dr_dilyaratalypova · 11,069
#51
Эра превентивной медицины
@Preventera_Ecosistem · 3,437
#52
REVERTAZA
@revertaza_longevity · 3,548
#53
Здоровые Люди
@fantel_healthypeople · 2,624
#54
Клуб МИИН
@miin_ankz · 51,607
#55
Матрица здоровья | УОМ
@uom_nutrifirst · 9,253
#56
Док_Магомедова/Doc_Magomedova
@doc_magomedova777 · 69,376
#57
Катерина Ленгольд
@Katerinalengold · 71,131
#58
Доктор Павлов
@doc_gastro_life · 77,558
#59
Эндокринолог Магеря
@magerya · 285,019
#60
Гастроэнтеролог Потянова Ирина
@dietolog_foodexpert · 9,671
#61
Здоровье и не только с Мариной Внуковой
@mn_vnukova · 21,711
#62
Катя Щербакова
@biohacking_upgrade · 2,669
#63
Аня Ахимса
@anya_ahimsa · 18,578
#64
detox4sisters
@detox4sisters · 34,553
#65
УОМ | Детское здоровье
@uom_children · 2,756
#66
UniProf для врачей
@uniprof_med · 31,748
#67
Доктор Медзиновская
@dr_medzinovskaya · 3,419
#68
Диана Шаронова - ГенОм
@igenom · 14,393
#69
Лилия Воронкова
@docvoronkova · 10,896
#70
🦋 Библиотека АИТ
@ms_hashimoto · 19,525
#71
ASDhelp.ru аутизм канал
@asdhelp · 10,747
#72
Доктор Марина Мальцева|🌿Интегративная медицина
@mvmaltseva · 39,892
#73
Путь долгожителя
@AgeManagment · 21,293
#74
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог
@gastrosmile · 40,987
#75
Надя Андреева - нутрициолог об энергии
@shkolasvetlyachkov · 45,819
#76
Ирена Понарошку
@irena_ponaroshku · 279,288
#77
Институт здоровья Марии Волковой
@hudeem_vmeste_sinstitutom · 7,907
#78
Стрелец-Молодец
@strelets_molodec · 349,000
#79
Deti_nutri
@deti_nutri · 10,670
#80
genetics_4u 🧬 antiage, эпигенетика, женское здоровье
@genetics_4u · 3,276
#81
СОЗДАТЕЛИ
@sozdatelyy · 6,269
#82
Hallo_avocado
@hallo_avocado · 2,671
#83
Двоскин. Нейрохакинг - Футуропия
@neirohaker · 4,755
#84
Нескучный ВЕЛНЕС
@happywellness · 76,799
#85
Dr. Belaveshkin
@beloveshkin · 9,216
#86
Dr.Shefova / Доктор Шефова
@dr_shefova · 69,293
#87
Эксперт по предназначению |Ведический астролог | Анастасия
@gen_pasport · 2,988
#88
Nina Дмитриевна Niskubina
@ninaniskubina · 3,444
#89

Read from Telegram’s recommendation API, most recently 24 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.

🦋 Библиотека АИТ
@ms_hashimoto · 19,525
Telegram ranks this channel #1 of 91 here — alongside 90 others — read 1 October 2026
Химия Пищи/Биохакинг/ А.Родионова
@ximiya_tasya_ro · 24,185
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 16 September 2026
ДОКТОР ЭЛЯ
@dzhobavaeliso · 32,008
Telegram ranks this channel #1 of 88 here — alongside 87 others — read 6 September 2026
Кулинарная медицина. Рецепты здоровья Кати Янг
@katya_young · 33,094
Telegram ranks this channel #1 of 90 here — alongside 89 others — read 4 September 2026
Радевич Лиза // Academy of Medical Biochemistry
@radevich_researcher · 33,021
Telegram ranks this channel #2 of 70 here — alongside 69 others — read 1 October 2026
Doclana.mornatural
@doclana_mornatural · 31,959
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 6 September 2026
detox4sisters
@detox4sisters · 34,553
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 2 September 2026
Доктор Владимир Попов | detsdoc
@detsdoc · 58,245
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 22 August 2026
Доктор Виктория Орлинская
@cardiodokstories · 162,211
Telegram ranks this channel #2 of 88 here — alongside 87 others — read 12 August 2026
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ
@mazaevdoc · 36,251
Telegram ranks this channel #3 of 81 here — alongside 80 others — read 1 September 2026
ИЗБА МОЛОДИЛЬНЯ
@izbamolodilnya · 21,101
Telegram ranks this channel #4 of 86 here — alongside 85 others — read 26 September 2026
Helena Kornilova / Елена Корнилова
@helenkornilova · 181,798
Telegram ranks this channel #4 of 84 here — alongside 83 others — read 12 August 2026
Эндокринолог Либеранская
@liberanskaya · 25,626
Telegram ranks this channel #5 of 88 here — alongside 87 others — read 14 September 2026
Доктор Егоров
@doctorilyaegorov · 32,840
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 4 September 2026
Leonov chef
@leonovchef · 51,010
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 25 August 2026
Доктор Никита | Dr. Nik
@tolstota · 23,949
Telegram ranks this channel #6 of 89 here — alongside 88 others — read 25 September 2026
Doctor_alina
@doctor_alina_enikeeva · 24,399
Telegram ranks this channel #6 of 81 here — alongside 80 others — read 16 September 2026
Evstigneeva_gastro
@evstigneeva_gastro · 19
Telegram ranks this channel #6 of 92 here — alongside 91 others — read 11 September 2026
Здравомыслие в еде
@zdravomislievede · 31,920
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 6 September 2026
Ксения Машкина
@dr_mashkina · 74,083
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 19 August 2026
Humberto.2.0
@humberto_2_0 · 20,502
Telegram ranks this channel #7 of 88 here — alongside 87 others — read 25 September 2026
Аюрведа и интегративная нутрициология / Крушанова Юлия
@krushanova · 21,498
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 22 September 2026
Ирина Шиманская Holistica
@tibetdoc · 78,886
Telegram ranks this channel #7 of 96 here — alongside 95 others — read 18 August 2026
Мигрень СТОП
@migreni_stop · 19,477
Telegram ranks this channel #8 of 92 here — alongside 91 others — read 1 October 2026

This channel appears in 71 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q140291093 on Wikidata, read 8 November 2026
LabelYulia Yusipova
Descriptionphysician (MD) in longevity medicine; rector of the European University of Longevity and the American Academy of Longevity
YouTubeUCRYfCtsbWJ_QTCBKudqBXKA
Official sitehttps://eul.education

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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Юсипова - системная медицина!” (@yusipovacom), 54,593 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/yusipovacom.

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.