Science Explorer Interactive view Map

Bioinformatics and Genomic Networks

Bioinformatics and Genomic Networks is a research topic within Molecular Biology. Science Explorer counts 37k research works in it since 1950. 20.5% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the analysis and interpretation of gene interaction networks, including gene set enrichment analysis, protein-protein interaction networks, functional annotation, pathway analysis, biological network integration, co-expression networks, disease pathways, genomic data integration, and the development of Cytoscape plugins. The research aims to understand the functional organization of genes and proteins within cellular systems and their implications for human diseases.

  • Gene Set Enrichment Analysis
  • Protein-Protein Interaction Networks
  • Functional Annotation
  • Pathway Analysis
  • Biological Network Integration
  • Co-expression Networks
  • Disease Pathways
  • Genomic Data Integration
  • Cytoscape Plugins
  • Human Protein Interactome
Research works
37k
fractional, since 1950
In the world top 10%
7.5k
per year above
Top-10% rate
20.5%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+14%
the tick is no change

Which countries lead Bioinformatics and Genomic Networks research?

By volume, China and the United States publish the most (2.1k and 1.7k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.1k works
  2. 2 United States 1.7k works
  3. 3 India 538 works
  4. 4 Germany 281 works
  5. 5 United Kingdom 279 works
  6. 6 Italy 213 works
  7. 7 France 176 works
  8. 8 Canada 158 works
  9. 9 South Korea 136 works
  10. 10 Japan 132 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.

China: 36.1%United States: 30.3%India: 9.4%Germany: 4.9%6 others listed: 19.2%36%largest
China2,060 · 36.1%United States1,729 · 30.3%India538 · 9.4%Germany281 · 4.9%6 others listed1,094 · 19.2%

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

Which institutions lead Bioinformatics and Genomic Networks research?

By volume in 2022–2025, Harvard University publishes the most Bioinformatics and Genomic Networks research, followed by Central South University and University of North Carolina at Chapel Hill.

Who are the leading researchers in Bioinformatics and Genomic Networks?

The most-cited researchers publishing on Bioinformatics and Genomic Networks include Robert Tibshirani, Mark J. Daly and Eric S. Lander.

  1. 1 Robert Tibshirani United States 13k citations
  2. 2 Mark J. Daly United States 9.6k citations
  3. 3 Eric S. Lander United States 8.5k citations
  4. 4 John P. A. Ioannidis United States 8k citations
  5. 5 Benjamin M. Neale United States 7.9k citations
  6. 6 Stacey Gabriel United States 7.8k citations
  7. 7 Vamsi K. Mootha United States 6.9k citations
  8. 8 David Botstein United States 6.7k citations
  9. 9 Philip S. Yu United States 6.6k citations
  10. 10 Pablo Tamayo United States 6.5k citations

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

Where is Bioinformatics and Genomic Networks research done?

The largest centres of Bioinformatics and Genomic Networks research in 2022–2025 are Beijing (China), Shanghai (China), Guangzhou (China) and Changsha (China). Among places with at least 20 works in it, it is an unusually large share of all research in Catanzaro, Cambridge and Cambridge.

Largest cities, 2022–2025

  1. 1 Beijing China 277 works
  2. 2 Shanghai China 161 works
  3. 3 Guangzhou China 104 works
  4. 4 Changsha China 97 works
  5. 5 London United Kingdom 90 works
  6. 6 Wuhan China 89 works
  7. 7 New York United States 83 works
  8. 8 Hangzhou China 78 works
  9. 9 Xi'an China 74 works
  10. 10 Paris France 74 works

Where it is the local speciality

  1. CatanzaroIT · 24.7 works33×
  2. CambridgeUS · 69.7 works3.9×
  3. CambridgeGB · 43.8 works3.7×
  4. BethesdaUS · 32.0 works3.7×
← less than its size predictsmore →

Location quotient: how much more of its research is in Bioinformatics and Genomic Networks than the world average.

See Bioinformatics and Genomic Networks on the map

Where is the best place to study Bioinformatics and Genomic Networks?

Among universities, judged by research, Harvard University, Magna Graecia University and Qufu Normal 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 24.65%fractional works in this node (log) →share in the world top 10% →Harvard University: 36, 28.3%Magna Graecia University: 24, 12.6%Qufu Normal University: 14, 12.2%Icahn School of Medicine at Mount Sinai: 19, 25.8%University of Chinese Academy of Sciences: 20, 28.7%University of Pennsylvania: 25, 25.4%Stanford University: 24, 32.8%Central South University: 36, 23.4%Harbin Medical University: 19, 15.3%Michigan State University: 14, 42.0%Harvard UniversityIcahn School of Medi…Magna Graecia Univer…Qufu Normal University
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 Harvard UniversityUnited States 58.028.3%4.1×36 +2.2%
2 Magna Graecia UniversityItaly 57.012.6%34.7×24 +47.0%
3 Qufu Normal UniversityChina 57.012.2%11.4×14 +689.5%
4 Icahn School of Medicine at Mount SinaiUnited States 53.725.8%5.5×19 +83.3%
5 University of Chinese Academy of SciencesChina 52.328.7%1.7×20 +186.3%
6 University of PennsylvaniaUnited States 52.125.4%3.9×25 +76.1%
7 Stanford UniversityUnited States 51.932.8%2.9×24 +21.2%
8 Central South UniversityChina 50.623.4%3.0×36 +48.7%
9 Harbin Medical UniversityChina 50.515.3%13.4×19 -14.5%
10 Michigan State UniversityUnited States 49.342.0%2.8×14 +5.3%

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 Bioinformatics and Genomic Networks research growing?

Output in 2018–2022 was 14% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Bioinformatics and Genomic Networks.

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.