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Epigenetics and DNA Methylation

Epigenetics and DNA Methylation is a research topic within Molecular Biology. Science Explorer counts 72k research works in it since 1950. 27.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the diverse mechanisms and functional implications of epigenetic modifications, including DNA methylation, histone modification, and chromatin remodeling. It delves into the role of these modifications in various biological processes such as cancer development, transgenerational inheritance, and environmental responses. Additionally, it discusses the potential applications of epigenetic therapy.

  • DNA Methylation
  • Histone Modification
  • Epigenetic Reprogramming
  • Cancer Epigenetics
  • Transgenerational Inheritance
  • Chromatin Structure
  • TET Proteins
  • Polycomb Complexes
  • Environmental Epigenomics
  • Epigenetic Therapy
Research works
72k
fractional, since 1950
In the world top 10%
20k
per year above
Top-10% rate
27.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+20%
the tick is no change

Which countries lead Epigenetics and DNA Methylation research?

By volume, China and the United States publish the most (5k and 3.6k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 5k works
  2. 2 United States 3.6k works
  3. 3 Germany 538 works
  4. 4 Japan 529 works
  5. 5 India 501 works
  6. 6 United Kingdom 485 works
  7. 7 Italy 383 works
  8. 8 Canada 332 works
  9. 9 France 306 works
  10. 10 South Korea 278 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: 41.8%United States: 30.2%Germany: 4.5%Japan: 4.4%6 others listed: 19.1%42%largest
China5,014 · 41.8%United States3,622 · 30.2%Germany538 · 4.5%Japan529 · 4.4%6 others listed2,286 · 19.1%

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

Which institutions lead Epigenetics and DNA Methylation research?

By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Epigenetics and DNA Methylation research, followed by Sun Yat-sen University and Chinese Academy of Medical Sciences & Peking Union Medical College.

Who are the leading researchers in Epigenetics and DNA Methylation?

The most-cited researchers publishing on Epigenetics and DNA Methylation include Mark J. Daly, Mika Kivimäki and Gad Getz.

  1. 1 Mark J. Daly United States 9.6k citations
  2. 2 Mika Kivimäki United Kingdom 6.7k citations
  3. 3 Gad Getz United States 6.2k citations
  4. 4 Hermann Brenner Germany 5.8k citations

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

Where is Epigenetics and DNA Methylation research done?

The largest centres of Epigenetics and DNA Methylation research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Luzhou.

Largest cities, 2022–2025

  1. 1 Beijing China 557 works
  2. 2 Shanghai China 442 works
  3. 3 Guangzhou China 374 works
  4. 4 Wuhan China 237 works
  5. 5 Nanjing China 219 works
  6. 6 Hangzhou China 207 works
  7. 7 New York United States 198 works
  8. 8 Changsha China 170 works
  9. 9 Chengdu China 162 works
  10. 10 London United Kingdom 149 works

Where it is the local speciality

  1. LuzhouCN · 22.4 works6.5×
← less than its size predictsmore →

Location quotient: how much more of its research is in Epigenetics and DNA Methylation than the world average.

See Epigenetics and DNA Methylation on the map

Where is the best place to study Epigenetics and DNA Methylation?

Among universities, judged by research, Center for Life Sciences, China Medical University and Shanghai Medical College of Fudan 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 32.73%fractional works in this node (log) →share in the world top 10% →Center for Life Sciences: 13, 41.0%China Medical University: 49, 32.5%Shanghai Medical College of Fudan University: 15, 43.5%Guangzhou Medical University: 29, 28.7%China Pharmaceutical University: 20, 35.5%Nanjing Medical University: 62, 25.6%Chinese Academy of Medical Sciences & Peking Union Medical College: 75, 33.2%Wenzhou Medical University: 34, 24.5%Shandong First Medical University: 24, 32.0%Southern Medical University: 40, 30.8%Shanghai Medical Col…Center for Life Scie…China Medical Univer…Guangzhou Medical Un…
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 Center for Life SciencesChina 74.241.0%16.8×13 +311.6%
2 China Medical UniversityChina 64.132.5%10.7×49 +20.0%
3 Shanghai Medical College of Fudan UniversityChina 64.043.5%13.2×15 +41.9%
4 Guangzhou Medical UniversityChina 63.828.7%7.6×29 +236.2%
5 China Pharmaceutical UniversityChina 60.735.5%6.5×20 +257.5%
6 Nanjing Medical UniversityChina 59.825.6%8.7×62 +37.4%
7 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 59.433.2%5.5×75 +57.4%
8 Wenzhou Medical UniversityChina 57.924.5%7.0×34 +168.1%
9 Shandong First Medical UniversityChina 57.332.0%6.6×24 +145.7%
10 Southern Medical UniversityChina 57.130.8%7.9×40 +28.7%

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 Epigenetics and DNA Methylation research growing?

Output in 2018–2022 was 20% higher than in 2013–2017, peaking in 2022. The fastest-growing topics are Epigenetics and DNA Methylation.

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.