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Topic · Genetics

Genetic Syndromes and Imprinting

Genetic Syndromes and Imprinting is a research topic within Genetics. Science Explorer counts 22k research works in it since 1950. 21.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the phenomenon of genomic imprinting, where certain genes are expressed in a parent-of-origin-specific manner. It covers topics such as parental influence on gene expression, epigenetic regulation through DNA methylation, and the role of imprinted genes in syndromes like Prader-Willi and Angelman. Additionally, it delves into the mechanisms of imprint control regions and the involvement of non-coding RNA in regulating imprinted gene networks.

  • Genomic Imprinting
  • Parental Influence
  • Epigenetic Regulation
  • Imprinted Genes
  • Prader-Willi Syndrome
  • Angelman Syndrome
  • DNA Methylation
  • Gene Expression
  • Imprint Control Region
  • Non-coding RNA
Research works
22k
fractional, since 1950
In the world top 10%
4.5k
per year above
Top-10% rate
21.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+11%
the tick is no change

Which countries lead Genetic Syndromes and Imprinting research?

By volume, the United States and China publish the most (753 and 535 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 753 works
  2. 2 China 535 works
  3. 3 India 172 works
  4. 4 Italy 147 works
  5. 5 Japan 143 works
  6. 6 United Kingdom 131 works
  7. 7 Germany 94 works
  8. 8 Spain 91 works
  9. 9 France 90 works
  10. 10 Türkiye 67 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.

United States: 33.8%China: 24.1%India: 7.7%Italy: 6.6%6 others listed: 27.8%34%largest
United States753 · 33.8%China535 · 24.1%India172 · 7.7%Italy147 · 6.6%6 others listed618 · 27.8%

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

Which institutions lead Genetic Syndromes and Imprinting research?

By volume in 2022–2025, University of North Carolina at Chapel Hill publishes the most Genetic Syndromes and Imprinting research, followed by Harvard University and Children's Hospital of Philadelphia.

Who are the leading researchers in Genetic Syndromes and Imprinting?

The most-cited researchers publishing on Genetic Syndromes and Imprinting include Shaun Purcell, Winfried März and Andrew P. Feinberg.

  1. 1 Shaun Purcell United States 7.2k citations
  2. 2 Winfried März Germany 5.2k citations
  3. 3 Andrew P. Feinberg United States 4.5k citations
  4. 4 André G. Uitterlinden Netherlands 4.4k citations
  5. 5 Steve Horvath United States 4.2k citations

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

Where is Genetic Syndromes and Imprinting research done?

The largest centres of Genetic Syndromes and Imprinting research in 2022–2025 are Beijing (China), Shanghai (China), New York (United States) and Tokyo (Japan). Among places with at least 20 works in it, it is an unusually large share of all research in Philadelphia.

Largest cities, 2022–2025

  1. 1 Beijing China 68 works
  2. 2 Shanghai China 52 works
  3. 3 New York United States 41 works
  4. 4 Tokyo Japan 40 works
  5. 5 Paris France 40 works
  6. 6 Guangzhou China 38 works
  7. 7 London United Kingdom 36 works
  8. 8 Philadelphia United States 33 works
  9. 9 Milan Italy 29 works
  10. 10 Boston United States 27 works

Where it is the local speciality

  1. PhiladelphiaUS · 32.9 works4.2×
← less than its size predictsmore →

Location quotient: how much more of its research is in Genetic Syndromes and Imprinting than the world average.

See Genetic Syndromes and Imprinting on the map

Where is the best place to study Genetic Syndromes and Imprinting?

Among universities, judged by research, University of North Carolina at Chapel Hill, Harvard University and Yale 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%10%20%30%mean 16.8444%fractional works in this node (log) →share in the world top 10% →University of North Carolina at Chapel Hill: 15, 19.6%Harvard University: 12, 26.3%Yale University: 11, 24.4%University of Pennsylvania: 11, 20.6%Sichuan University: 8, 19.8%Chinese Academy of Medical Sciences & Peking Union Medical College: 9, 9.2%University of Alabama at Birmingham: 8, 10.7%Shanghai Jiao Tong University: 8, 15.4%All India Institute of Medical Sciences: 9, 5.6%Harvard UniversityYale UniversityUniversity of Pennsy…University of North …
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 University of North Carolina at Chapel HillUnited States 50.219.6%3.0×15 +158.0%
2 Harvard UniversityUnited States 46.826.3%3.2×12 -17.7%
3 Yale UniversityUnited States 36.924.4%3.6×11 -29.2%
4 University of PennsylvaniaUnited States 34.620.6%4.0×11 -28.5%
5 Sichuan UniversityChina 30.719.8%1.6×8 +251.7%
6 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 23.29.2%3.1×9 +112.9%
7 University of Alabama at BirminghamUnited States 21.710.7%5.8×8 -9.9%
8 Shanghai Jiao Tong UniversityChina 20.215.4%1.2×8 +98.0%
9 All India Institute of Medical SciencesIndia 16.05.6%5.0×9 -5.7%

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 Genetic Syndromes and Imprinting research growing?

Output in 2018–2022 was 11% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Genetic Syndromes and Imprinting.

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.