Science Explorer Interactive view Map
Topic · Physiology

Telomeres, Telomerase, and Senescence

Telomeres, Telomerase, and Senescence is a research topic within Physiology. Science Explorer counts 16k research works in it since 1953. 26.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the mechanisms and implications of cellular senescence, with a focus on telomere dynamics, tumor suppression, inflammation, DNA damage response, and the potential therapeutic role of senolytics in aging-related diseases.

  • Senescence
  • Telomere
  • Tumor Suppression
  • Inflammation
  • Oncogene-induced Senescence
  • DNA Damage Response
  • Senolytics
  • Stem Cells
  • Aging
  • Telomerase
Research works
16k
fractional, since 1953
In the world top 10%
4.2k
per year above
Top-10% rate
26.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+19%
the tick is no change

This ranks research output and citation impact. It says nothing about the quality of diagnosis, treatment or care.

Which countries lead Telomeres, Telomerase, and Senescence research?

By volume, China and the United States publish the most (696 and 679 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 696 works
  2. 2 United States 679 works
  3. 3 United Kingdom 125 works
  4. 4 Japan 121 works
  5. 5 Germany 103 works
  6. 6 France 91 works
  7. 7 Italy 88 works
  8. 8 India 87 works
  9. 9 South Korea 82 works
  10. 10 Spain 81 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 32.4%United States: 31.6%United Kingdom: 5.8%Japan: 5.6%6 others listed: 24.7%32%largest
China696 · 32.4%United States679 · 31.6%United Kingdom125 · 5.8%Japan121 · 5.6%6 others listed531 · 24.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Telomeres, Telomerase, and Senescence research?

By volume in 2022–2025, Mayo Clinic publishes the most Telomeres, Telomerase, and Senescence research, followed by Sun Yat-sen University and Chinese Academy of Medical Sciences & Peking Union Medical College.

Who are the leading researchers in Telomeres, Telomerase, and Senescence?

The most-cited researchers publishing on Telomeres, Telomerase, and Senescence include Hermann Brenner, Steve Horvath and Eric Boerwinkle.

  1. 1 Hermann Brenner Germany 5.8k citations
  2. 2 Steve Horvath United States 4.2k citations
  3. 3 Eric Boerwinkle United States 3.6k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Telomeres, Telomerase, and Senescence research done?

The largest centres of Telomeres, Telomerase, and Senescence research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Paris (France). Among places with at least 20 works in it, it is an unusually large share of all research in Bethesda and San Francisco.

Largest cities, 2022–2025

  1. 1 Beijing China 78 works
  2. 2 Shanghai China 64 works
  3. 3 Guangzhou China 58 works
  4. 4 Paris France 45 works
  5. 5 London United Kingdom 42 works
  6. 6 Tokyo Japan 41 works
  7. 7 Moscow Russia 38 works
  8. 8 New York United States 36 works
  9. 9 Wuhan China 34 works
  10. 10 Seoul South Korea 34 works

Where it is the local speciality

  1. BethesdaUS · 23.4 works6.8×
  2. San FranciscoUS · 21.2 works5.8×
← less than its size predictsmore →

Location quotient: how much more of its research is in Telomeres, Telomerase, and Senescence than the world average.

See Telomeres, Telomerase, and Senescence on the map

Where is the best place to study Telomeres, Telomerase, and Senescence?

Among universities, judged by research, Chinese Academy of Medical Sciences & Peking Union Medical College, University of California, San Francisco and Sun Yat-sen University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 25.57%fractional works in this node (log) →share in the world top 10% →Chinese Academy of Medical Sciences & Peking Union Medical College: 14, 30.4%University of California, San Francisco: 12, 16.5%Sun Yat-sen University: 15, 22.4%Imperial College London: 9, 32.5%Huazhong University of Science and Technology: 11, 31.8%Rockefeller University: 8, 12.8%Harvard University: 10, 32.4%Central South University: 10, 27.4%Sichuan University: 10, 30.0%University of Pittsburgh: 9, 19.5%Imperial College Lon…Chinese Academy of M…Sun Yat-sen UniversityUniversity of Califo…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 46.130.4%5.4×14 +8.7%
2 University of California, San FranciscoUnited States 38.916.5%6.7×12 +18.6%
3 Sun Yat-sen UniversityChina 36.422.4%3.3×15 +7.7%
4 Imperial College LondonUnited Kingdom 35.932.5%3.4×9 +51.2%
5 Huazhong University of Science and TechnologyChina 32.231.8%2.5×11 +40.5%
6 Rockefeller UniversityUnited States 31.212.8%48.7×8 -39.3%
7 Harvard UniversityUnited States 31.032.4%2.8×10 -22.3%
8 Central South UniversityChina 28.227.4%2.2×10 +68.6%
9 Sichuan UniversityChina 27.330.0%2.2×10 +26.4%
10 University of PittsburghUnited States 27.319.5%4.1×9 +92.7%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Telomeres, Telomerase, and Senescence research growing?

Output in 2018–2022 was 19% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Telomeres, Telomerase, and Senescence.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.