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Topic · Molecular Biology

Protein purification and stability

Protein purification and stability is a research topic within Molecular Biology. Science Explorer counts 32k research works in it since 1950. 16.1% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis, mechanisms, and control of protein aggregation in biopharmaceuticals, particularly recombinant proteins and therapeutic antibodies. It also delves into the stability, chromatographic purification, immunogenicity, and refolding of these proteins, as well as the use of sedimentation velocity for size-distribution analysis.

  • Protein Aggregation
  • Biopharmaceuticals
  • Recombinant Proteins
  • Therapeutic Antibodies
  • Stability
  • Chromatography
  • Immunogenicity
  • Refolding
  • Monoclonal Antibodies
  • Sedimentation Velocity
Research works
32k
fractional, since 1950
In the world top 10%
5.1k
per year above
Top-10% rate
16.1%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+2%
the tick is no change

Which countries lead Protein purification and stability research?

By volume, the United States and China publish the most (739 and 403 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 739 works
  2. 2 China 403 works
  3. 3 India 267 works
  4. 4 Germany 236 works
  5. 5 Japan 164 works
  6. 6 United Kingdom 135 works
  7. 7 France 101 works
  8. 8 Russia 98 works
  9. 9 Switzerland 66 works
  10. 10 Italy 60 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: 32.6%China: 17.8%India: 11.8%Germany: 10.4%6 others listed: 27.5%33%largest
United States739 · 32.6%China403 · 17.8%India267 · 11.8%Germany236 · 10.4%6 others listed624 · 27.5%

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

Which institutions lead Protein purification and stability research?

By volume in 2022–2025, Merck & Co., Inc., Rahway, NJ, USA (United States) publishes the most Protein purification and stability research, followed by Indian Institute of Technology Delhi and WuXi AppTec (China).

By volume, 2022–2025

  1. 1 Merck & Co., Inc., Rahway, NJ, USA (United States)United States 40 works
  2. 2 Indian Institute of Technology DelhiIndia 26 works
  3. 3 WuXi AppTec (China)China 24 works
  4. 4 Regeneron (United States)United States 22 works
  5. 5 Amgen (United States)United States 18 works
  6. 6 Boehringer Ingelheim (Germany)Germany 16 works
  7. 7 Pfizer (United States)United States 16 works
  8. 8 Eli Lilly (United States)United States 15 works
  9. 9 Bristol-Myers Squibb (United States)United States 14 works
  10. 10 BOKU UniversityAustria 13 works

Where is Protein purification and stability research done?

The largest centres of Protein purification and stability research in 2022–2025 are Shanghai (China), Beijing (China), Tokyo (Japan) and Moscow (Russia). Among places with at least 20 works in it, it is an unusually large share of all research in Tarrytown and Rahway.

Largest cities, 2022–2025

  1. 1 Shanghai China 66 works
  2. 2 Beijing China 64 works
  3. 3 Tokyo Japan 55 works
  4. 4 Moscow Russia 54 works
  5. 5 New York United States 44 works
  6. 6 London United Kingdom 42 works
  7. 7 Rahway United States 40 works
  8. 8 New Delhi India 40 works
  9. 9 Paris France 39 works
  10. 10 Vienna Austria 29 works

Where it is the local speciality

  1. TarrytownUS · 22.0 works199×
  2. RahwayUS · 40.2 works152×
← less than its size predicts1×more →

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

See Protein purification and stability on the map

Where is the best place to study Protein purification and stability?

Among universities, judged by research, Henan Medical University, BOKU University and Indian Institute of Technology Delhi 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 17.78%fractional works in this node (log) →share in the world top 10% →Henan Medical University: 8, 29.2%BOKU University: 13, 12.3%Indian Institute of Technology Delhi: 26, 6.6%University of Delaware: 11, 17.8%The University of Tokyo: 10, 32.1%Imperial College London: 11, 21.1%Technical University of Denmark: 10, 13.7%University of Ljubljana: 10, 12.1%University of Kansas: 10, 10.8%The University of Texas at Austin: 8, 22.1%Henan Medical Univer…University of DelawareBOKU UniversityIndian Institute of …
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 Henan Medical UniversityChina 51.829.2%33.0×8 -63.6%
2 BOKU UniversityAustria 50.812.3%42.4×13 +26.6%
3 Indian Institute of Technology DelhiIndia 50.36.6%16.6×26 +76.7%
4 University of DelawareUnited States 47.017.8%12.8×11 -20.6%
5 The University of TokyoJapan 39.532.1%2.6×10 -4.0%
6 Imperial College LondonUnited Kingdom 38.421.1%3.9×11 +18.7%
7 Technical University of DenmarkDenmark 37.813.7%6.6×10 +28.9%
8 University of LjubljanaSlovenia 37.612.1%7.5×10 +65.9%
9 University of KansasUnited States 37.010.8%10.6×10 -17.9%
10 The University of Texas at AustinUnited States 31.322.1%3.2×8 +47.4%

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 purification and stability research growing?

Output in 2018–2022 was 2% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Protein purification and stability.

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.