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. 10.1% 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%
- 2.3k per year above
- Top-10% rate
- 10.1% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +31% the tick is no change
- Largest producer
United States
41% of the 10 largest, 2022-now
Which countries lead Protein Degradation and Inhibitors research?
By volume, the United States and China publish the most (2.6k and 1.9k works in 2022-now).
By volume, 2022-now
- 1
United States 2.6k works
- 2
China 1.9k works
- 3
Germany 320 works
- 4
India 291 works
- 5
United Kingdom 277 works
- 6
Italy 237 works
- 7
Japan 229 works
- 8
Canada 166 works
- 9
France 161 works
- 10
South Korea 154 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Protein Degradation and Inhibitors research?
By volume in 2022-now, Harvard University publishes the most Protein Degradation and Inhibitors research, followed by The University of Texas MD Anderson Cancer Center and Chinese Academy of Sciences.
By volume, 2022-now
- 1
Harvard University
United States 167 works
- 2
The University of Texas MD Anderson Cancer Center
United States 90 works
- 3
Chinese Academy of Sciences
China 75 works
- 4
National Institutes of Health
United States 62 works
- 5
Sun Yat-sen University
China 55 works
- 6
Mayo Clinic
United States 54 works
- 7
Sichuan University
China 51 works
- 8
Zhejiang University
China 51 works
- 9
University of North Carolina at Chapel Hill
United States 48 works
- 10
Shanghai Jiao Tong University
China 46 works
Who are the leading researchers in Protein Degradation and Inhibitors?
The most-cited researchers publishing on Protein Degradation and Inhibitors include Eric S. Lander, Peer Bork and Guido Kroemer.
- 1
Eric S. Lander
United States 524k citations
- 2
Peer Bork
Germany 396k citations
- 3
Guido Kroemer
France 386k citations
- 4
Bert Vogelstein
United States 373k citations
- 5
Gad A. Getz
United States 364k citations
- 6
Elaine R. Mardis
United States 346k citations
- 7
Jun Wang
China 340k citations
- 8
Matthias Mann
Germany 308k citations
- 9
Róbert Langer
United States 303k citations
- 10
Robert A. Weinberg
United States 301k 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-now 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 Dundee.
Largest cities, 2022-now
- 1
Beijing
China 233 works
- 2
Shanghai
China 188 works
- 3
New York
United States 165 works
- 4
Guangzhou
China 133 works
- 5
Houston
United States 130 works
- 6
Boston
United States 130 works
- 7
Hangzhou
China 102 works
- 8
Nanjing
China 102 works
- 9
Cambridge
United States 96 works
- 10
London
United Kingdom 86 works
Where it is the local speciality
- DundeeGB · 20.8 works13×
Location quotient: how much more of its research is in Protein Degradation and Inhibitors than the world average.
Where is the best place to study Protein Degradation and Inhibitors?
Among universities, judged by research, Kettering University, Harvard University and University of Dundee score highest, combining citation excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.
Universities only. The score blends citation excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.
Every institution in Protein Degradation and Inhibitors, country by countryIs Protein Degradation and Inhibitors research growing?
Output in 2022-2025 was 31% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Protein Degradation and Inhibitors.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Protein Degradation and Inhibitors as a percentage of every work published that year, 0.026% in 2024.
Fractional works of Protein Degradation and Inhibitors over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year.
Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.
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.
Discussion
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