Science Explorer Interactive view Map

Protein Degradation and Inhibitors

Protein Degradation and Inhibitors is a research topic within Molecular Biology. Science Explorer counts 22k research works in it since 1952. 22.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the targeted degradation of specific proteins, particularly through the use of BET bromodomain inhibitors and PROTACs. The research explores the therapeutic potential of this approach, with a focus on histone recognition, small molecule inhibitors, and the role of epigenetic readers in transcriptional regulation. Additionally, it investigates the use of cereblon-dependent degradation and its implications for drug discovery.

  • BET Bromodomains
  • PROTACs
  • Therapeutic Strategy
  • Histone Recognition
  • Small Molecule Inhibitors
  • Cereblon-Dependent Degradation
  • Epigenetic Readers
  • Super-Enhancers
  • Transcriptional Regulation
  • Drug Discovery Paradigm
Research works
22k
fractional, since 1952
In the world top 10%
4.9k
per year above
Top-10% rate
22.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+41%
the tick is no change

Which countries lead Protein Degradation and Inhibitors research?

By volume, the United States and China publish the most (2k and 1.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 2k works
  2. 2 China 1.5k works
  3. 3 Germany 268 works
  4. 4 United Kingdom 227 works
  5. 5 India 227 works
  6. 6 Japan 196 works
  7. 7 Italy 192 works
  8. 8 France 143 works
  9. 9 Canada 140 works
  10. 10 Spain 121 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: 40.2%China: 29.6%Germany: 5.4%United Kingdom: 4.5%6 others listed: 20.3%40%largest
United States2,014 · 40.2%China1,483 · 29.6%Germany268 · 5.4%United Kingdom227 · 4.5%6 others listed1,019 · 20.3%

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

Which institutions lead Protein Degradation and Inhibitors research?

By volume in 2022–2025, The University of Texas MD Anderson Cancer Center publishes the most Protein Degradation and Inhibitors research, followed by Dana-Farber Cancer Institute and Harvard University.

Who are the leading researchers in Protein Degradation and Inhibitors?

The most-cited researchers publishing on Protein Degradation and Inhibitors include Benjamin L. Ebert, Gad Getz and Dirk Schadendorf.

  1. 1 Benjamin L. Ebert United States 6.7k citations
  2. 2 Gad Getz United States 6.2k citations
  3. 3 Dirk Schadendorf Germany 4.4k citations
  4. 4 Hagop M. Kantarjian United States 4k citations
  5. 5 Gordon B. Mills United States 3.7k citations
  6. 6 Caroline Robert France 3.3k citations

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

Where is Protein Degradation and Inhibitors research done?

The largest centres of Protein Degradation and Inhibitors research in 2022–2025 are Beijing (China), Shanghai (China), New York (United States) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Memphis.

Largest cities, 2022–2025

  1. 1 Beijing China 192 works
  2. 2 Shanghai China 144 works
  3. 3 New York United States 134 works
  4. 4 Guangzhou China 110 works
  5. 5 Boston United States 108 works
  6. 6 Houston United States 103 works
  7. 7 Nanjing China 86 works
  8. 8 Hangzhou China 84 works
  9. 9 Cambridge United States 75 works
  10. 10 London United Kingdom 71 works

Where it is the local speciality

  1. MemphisUS · 28.1 works9.9×
← less than its size predictsmore →

Location quotient: how much more of its research is in Protein Degradation and Inhibitors than the world average.

See Protein Degradation and Inhibitors on the map

Where is the best place to study Protein Degradation and Inhibitors?

Among universities, judged by research, University of Dundee, China Pharmaceutical University and Icahn School of Medicine at Mount Sinai 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 39.33%fractional works in this node (log) →share in the world top 10% →University of Dundee: 15, 42.2%China Pharmaceutical University: 34, 46.4%Icahn School of Medicine at Mount Sinai: 24, 34.6%Harvard University: 39, 37.6%Sichuan University: 25, 37.8%Tsinghua University: 13, 46.6%Baylor College of Medicine: 14, 33.6%University of Bonn: 8, 32.0%Jinan University: 9, 45.3%Shanghai Jiao Tong University: 17, 37.2%China Pharmaceutical…University of DundeeHarvard UniversityIcahn School of Medi…
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 DundeeUnited Kingdom 77.842.2%17.6×15 +668.1%
2 China Pharmaceutical UniversityChina 73.446.4%27.9×34 +45.9%
3 Icahn School of Medicine at Mount SinaiUnited States 60.334.6%8.6×24 +51.4%
4 Harvard UniversityUnited States 59.537.6%5.4×39 +28.5%
5 Sichuan UniversityChina 54.237.8%2.5×25 +220.2%
6 Tsinghua UniversityChina 52.246.6%1.1×13 +330.7%
7 Baylor College of MedicineUnited States 50.533.6%6.0×14 +115.7%
8 University of BonnGermany 48.832.0%4.2×8 +279.0%
9 Jinan UniversityChina 48.645.3%3.4×9 +119.1%
10 Shanghai Jiao Tong UniversityChina 48.337.2%1.4×17 +388.3%

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 Degradation and Inhibitors research growing?

Output in 2018–2022 was 41% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Protein Degradation and Inhibitors.

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.