Science Explorer Interactive view Map

vaccines and immunoinformatics approaches

vaccines and immunoinformatics approaches is a research topic within Molecular Biology. Science Explorer counts 21k research works in it since 1950. 21.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the prediction of peptide-major histocompatibility complex (MHC) binding affinity, epitope prediction, and immunoinformatics for vaccine design. It covers topics such as antigen presentation, HLA class I and II molecules, bioinformatics tools for epitope prediction, T-cell and B-cell epitopes, and proteasomal cleavage.

  • Peptide-MHC Binding
  • Epitope Prediction
  • Immunoinformatics
  • Vaccine Design
  • Antigen Presentation
  • HLA Class I and II
  • Bioinformatics Tools
  • T-Cell Epitopes
  • B-Cell Epitopes
  • Proteasomal Cleavage
Research works
21k
fractional, since 1950
In the world top 10%
4.4k
per year above
Top-10% rate
21.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+75%
the tick is no change

Which countries lead vaccines and immunoinformatics approaches research?

By volume, the United States and China publish the most (1.1k and 954 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 1.1k works
  2. 2 China 954 works
  3. 3 India 491 works
  4. 4 Iran 216 works
  5. 5 United Kingdom 207 works
  6. 6 Germany 186 works
  7. 7 Indonesia 152 works
  8. 8 Brazil 125 works
  9. 9 Italy 123 works
  10. 10 France 116 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: 30.7%China: 25.7%India: 13.2%Iran: 5.8%6 others listed: 24.5%31%largest
United States1,139 · 30.7%China954 · 25.7%India491 · 13.2%Iran216 · 5.8%6 others listed910 · 24.5%

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

Which institutions lead vaccines and immunoinformatics approaches research?

By volume in 2022–2025, University of Oxford publishes the most vaccines and immunoinformatics approaches research, followed by Chinese Academy of Medical Sciences & Peking Union Medical College and University of North Carolina at Chapel Hill.

Who are the leading researchers in vaccines and immunoinformatics approaches?

The most-cited researchers publishing on vaccines and immunoinformatics approaches include Dirk Schadendorf and Matthew Meyerson.

  1. 1 Dirk Schadendorf Germany 4.4k citations
  2. 2 Matthew Meyerson United States 4.2k citations

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

Where is vaccines and immunoinformatics approaches research done?

The largest centres of vaccines and immunoinformatics approaches research in 2022–2025 are Beijing (China), Tehran (Iran), Shanghai (China) and London (United Kingdom). Among places with at least 20 works in it, it is an unusually large share of all research in Bethesda.

Largest cities, 2022–2025

  1. 1 Beijing China 169 works
  2. 2 Tehran Iran 98 works
  3. 3 Shanghai China 85 works
  4. 4 London United Kingdom 62 works
  5. 5 Guangzhou China 56 works
  6. 6 New York United States 53 works
  7. 7 Paris France 51 works
  8. 8 Cambridge United States 48 works
  9. 9 Bethesda United States 48 works
  10. 10 Moscow Russia 45 works

Where it is the local speciality

  1. BethesdaUS · 47.9 works7.2×
← less than its size predictsmore →

Location quotient: how much more of its research is in vaccines and immunoinformatics approaches than the world average.

See vaccines and immunoinformatics approaches on the map

Where is the best place to study vaccines and immunoinformatics approaches?

Among universities, judged by research, Indraprastha Institute of Information Technology Delhi, University of Oxford and Shiraz University of Medical Sciences 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 29.89%fractional works in this node (log) →share in the world top 10% →Indraprastha Institute of Information Technology Delhi: 9, 41.4%University of Oxford: 22, 28.8%Shiraz University of Medical Sciences: 12, 14.5%Icahn School of Medicine at Mount Sinai: 10, 33.5%Vellore Institute of Technology University: 17, 26.4%King Saud University: 15, 26.1%University of California San Diego: 16, 31.0%Johns Hopkins University: 14, 39.3%Chinese Academy of Medical Sciences & Peking Union Medical College: 20, 26.4%Harvard University: 16, 31.5%Indraprastha Institu…Icahn School of Medi…University of OxfordShiraz University 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 Indraprastha Institute of Information Technology DelhiIndia 64.341.4%38.5×9
2 University of OxfordUnited Kingdom 59.928.8%3.2×22 +57.7%
3 Shiraz University of Medical SciencesIran 56.414.5%8.6×12 +816.5%
4 Icahn School of Medicine at Mount SinaiUnited States 55.933.5%4.0×10 +303.6%
5 Vellore Institute of Technology UniversityIndia 52.626.4%3.1×17 +147.9%
6 King Saud UniversitySaudi Arabia 52.426.1%3.1×15
7 University of California San DiegoUnited States 51.031.0%3.5×16 +26.0%
8 Johns Hopkins UniversityUnited States 50.839.3%2.5×14 -3.1%
9 Chinese Academy of Medical Sciences & Peking Union Medical CollegeChina 49.126.4%3.8×20 -8.0%
10 Harvard UniversityUnited States 48.731.5%2.4×16 -17.2%

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 vaccines and immunoinformatics approaches research growing?

Output in 2018–2022 was 75% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are vaccines and immunoinformatics approaches.

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.