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Protein Tyrosine Phosphatases

Protein Tyrosine Phosphatases is a research topic within Molecular Biology. Science Explorer counts 13k research works in it since 1950. 16.2% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the role of protein tyrosine phosphatases, particularly PTPN11 and SHP2, in various human health and disease conditions such as Noonan syndrome, cancer, insulin sensitivity, and MAP kinase signaling. It also delves into the redox regulation of protein tyrosine phosphatases and their implications in cell signaling pathways.

  • Protein Tyrosine Phosphatases
  • PTPN11
  • Noonan Syndrome
  • MAP Kinase Signaling
  • Insulin Sensitivity
  • Cancer
  • Redox Regulation
  • SHP2
  • Mutation
  • Cell Signaling
Research works
13k
fractional, since 1950
In the world top 10%
2k
per year above
Top-10% rate
16.2%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+0%
the tick is no change

Which countries lead Protein Tyrosine Phosphatases research?

By volume, China and the United States publish the most (526 and 440 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 526 works
  2. 2 United States 440 works
  3. 3 Japan 76 works
  4. 4 India 70 works
  5. 5 Italy 70 works
  6. 6 Germany 54 works
  7. 7 United Kingdom 52 works
  8. 8 South Korea 49 works
  9. 9 France 49 works
  10. 10 Spain 41 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: 36.9%United States: 30.8%Japan: 5.3%India: 4.9%6 others listed: 22.1%37%largest
China526 · 36.9%United States440 · 30.8%Japan76 · 5.3%India70 · 4.9%6 others listed316 · 22.1%

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

Which institutions lead Protein Tyrosine Phosphatases research?

By volume in 2022–2025, Chinese Academy of Medical Sciences & Peking Union Medical College publishes the most Protein Tyrosine Phosphatases research, followed by Purdue University West Lafayette and Stanford University.

Who are the leading researchers in Protein Tyrosine Phosphatases?

The most-cited researchers publishing on Protein Tyrosine Phosphatases include Gordon B. Mills.

  1. 1 Gordon B. Mills United States 3.7k citations

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

Where is Protein Tyrosine Phosphatases research done?

The largest centres of Protein Tyrosine Phosphatases research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Guangzhou (China).

Largest cities, 2022–2025

  1. 1 Beijing China 55 works
  2. 2 Shanghai China 49 works
  3. 3 Nanjing China 29 works
  4. 4 Guangzhou China 28 works
  5. 5 New York United States 26 works
  6. 6 Hangzhou China 25 works
  7. 7 Seoul South Korea 23 works
  8. 8 Paris France 20 works
  9. 9 Tokyo Japan 20 works
  10. 10 Rome Italy 20 works
See Protein Tyrosine Phosphatases on the map

Where is the best place to study Protein Tyrosine Phosphatases?

Among universities, judged by research, Chinese Academy of Medical Sciences & Peking Union Medical College 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.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 0.014.9%5.1×9 -28.4%

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 Protein Tyrosine Phosphatases research growing?

Output in 2018–2022 was 0% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Protein Tyrosine Phosphatases.

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.