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Protein Structure and Dynamics

Protein Structure and Dynamics is a research topic within Molecular Biology. Science Explorer counts 64k research works in it since 1950. 23.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the prediction and analysis of protein structures using methods such as molecular dynamics simulations, force fields, homology modeling, and circular dichroism. It also explores topics related to intrinsically disordered proteins, enzyme catalysis, and the effects of macromolecular crowding on protein behavior.

  • Protein
  • Structure
  • Prediction
  • Molecular Dynamics
  • Force Field
  • Homology Modeling
  • Intrinsically Disordered Proteins
  • Circular Dichroism
  • Enzyme Catalysis
  • Macromolecular Crowding
Research works
64k
fractional, since 1950
In the world top 10%
15k
per year above
Top-10% rate
23.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-4%
the tick is no change

Which countries lead Protein Structure and Dynamics research?

By volume, the United States and China publish the most (2k and 1k works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 2k works
  2. 2 China 1k works
  3. 3 India 516 works
  4. 4 Germany 427 works
  5. 5 United Kingdom 338 works
  6. 6 Japan 321 works
  7. 7 France 278 works
  8. 8 Italy 210 works
  9. 9 Russia 151 works
  10. 10 Spain 147 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: 36.7%China: 19.3%India: 9.5%Germany: 7.9%6 others listed: 26.6%37%largest
United States1,992 · 36.7%China1,048 · 19.3%India516 · 9.5%Germany427 · 7.9%6 others listed1,443 · 26.6%

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

Which institutions lead Protein Structure and Dynamics research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Protein Structure and Dynamics research, followed by Massachusetts Institute of Technology and University of Chicago.

By volume, 2022–2025

  1. 1 Centre National de la Recherche Scientifique France 51 works
  2. 2 Massachusetts Institute of Technology United States 33 works
  3. 3 University of Chicago United States 32 works
  4. 4 University of Cambridge United Kingdom 31 works
  5. 5 University of California San Diego United States 31 works
  6. 6 University of Illinois Urbana-Champaign United States 29 works
  7. 7 ETH Zurich Switzerland 28 works
  8. 8 Chinese Academy of Sciences China 27 works
  9. 9 Shanghai Jiao Tong University China 26 works
  10. 10 University of Oxford United Kingdom 25 works

Who are the leading researchers in Protein Structure and Dynamics?

The most-cited researchers publishing on Protein Structure and Dynamics include Peter A. Kollman, Minoru Kanehisa and Michele Parrinello.

  1. 1 Peter A. Kollman 6.3k citations
  2. 2 Minoru Kanehisa 5.7k citations
  3. 3 Michele Parrinello 5.6k citations
  4. 4 Arthur J. Olson 5k citations
  5. 5 Martin Karplus 4.7k citations
  6. 6 Peer Bork 4.7k citations

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

Where is Protein Structure and Dynamics research done?

The largest centres of Protein Structure and Dynamics research in 2022–2025 are Beijing (China), Paris (France), Shanghai (China) and London (United Kingdom).

Largest cities, 2022–2025

  1. 1 Beijing China 195 works
  2. 2 Paris France 138 works
  3. 3 Shanghai China 104 works
  4. 4 London United Kingdom 90 works
  5. 5 Tokyo Japan 87 works
  6. 6 Moscow Russia 78 works
  7. 7 New York United States 75 works
  8. 8 Hangzhou China 71 works
  9. 9 Chicago United States 64 works
  10. 10 Cambridge United States 63 works
See Protein Structure and Dynamics on the map

Where is the best place to study Protein Structure and Dynamics?

Among universities, judged by research, Weizmann Institute of Science, Massachusetts Institute of Technology and Westlake 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 34.86%fractional works in this node (log) →share in the world top 10% →Weizmann Institute of Science: 18, 34.2%Massachusetts Institute of Technology: 33, 38.8%Westlake University: 10, 41.5%Center for Life Sciences: 8, 22.9%ETH Zurich: 28, 29.2%École Polytechnique Fédérale de Lausanne: 20, 34.9%University of Basel: 12, 40.7%Lehigh University: 9, 35.5%University of Cambridge: 31, 38.4%University of Copenhagen: 24, 32.5%Westlake UniversityMassachusetts Instit…Weizmann Institute o…Center for Life Scie…
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
1Weizmann Institute of Science Israel 61.034.2%18.8×18 +0.7%
2Massachusetts Institute of Technology United States 59.838.8%7.8×33 -26.0%
3Westlake University China 59.041.5%11.5×10
4Center for Life Sciences China 56.322.9%22.6×8 +182.2%
5ETH Zurich Switzerland 52.629.2%6.2×28 -19.5%
6École Polytechnique Fédérale de Lausanne Switzerland 52.634.9%6.9×20 -27.6%
7University of Basel Switzerland 52.240.7%6.3×12 +31.2%
8Lehigh University United States 52.135.5%10.6×9 +49.4%
9University of Cambridge United Kingdom 51.938.4%4.2×31 -14.1%
10University of Copenhagen Denmark 48.732.5%5.1×24 -23.7%

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 Protein Structure and Dynamics research growing?

Output in 2018–2022 was 4% lower than in 2013–2017, peaking in 2012. The fastest-growing topics are Protein Structure and Dynamics.

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.