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Topic · Molecular Biology

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. 9.9% 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%
3.6k
per year above
Top-10% rate
9.9%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+8%
the tick is no change
Largest producer
China
36% of the 10 largest, 2022-now
Bioinformatics and Genomic Networks

Which countries lead Bioinformatics and Genomic Networks research?

By volume, China and the United States publish the most (2.5k and 2.1k works in 2022-now).

By volume, 2022-now

  1. 1 China 2.5k works
  2. 2 United States 2.1k works
  3. 3 India 652 works
  4. 4 United Kingdom 331 works
  5. 5 Germany 329 works
  6. 6 Italy 241 works
  7. 7 France 206 works
  8. 8 Canada 182 works
  9. 9 South Korea 164 works
  10. 10 Japan 157 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: 36.2%United States: 30.8%India: 9.5%United Kingdom: 4.8%6 others listed: 18.7%36%largest
China2,477 · 36.2%United States2,105 · 30.8%India652 · 9.5%United Kingdom331 · 4.8%6 others listed1,278 · 18.7%

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

Which institutions lead Bioinformatics and Genomic Networks research?

By volume in 2022-now, Harvard University publishes the most Bioinformatics and Genomic Networks research, followed by Chinese Academy of Sciences and Centre National de la Recherche Scientifique.

By volume, 2022-now

  1. 1 Harvard UniversityUnited States 106 works
  2. 2 Chinese Academy of SciencesChina 89 works
  3. 3 Centre National de la Recherche ScientifiqueFrance 57 works
  4. 4 Central South UniversityChina 48 works
  5. 5 National Institutes of HealthUnited States 47 works
  6. 6 University of North Carolina at Chapel HillUnited States 47 works
  7. 7 Shanghai Jiao Tong UniversityChina 41 works
  8. 8 Zhejiang UniversityChina 39 works
  9. 9 Stanford UniversityUnited States 36 works
  10. 10 Sun Yat-sen UniversityChina 36 works

Who are the leading researchers in Bioinformatics and Genomic Networks?

The most-cited researchers publishing on Bioinformatics and Genomic Networks include Eric S. Lander, Zhong Lin Wang and Yoshua Bengio.

  1. 1 Eric S. Lander United States 524k citations
  2. 2 Zhong Lin Wang United States 491k citations
  3. 3 Yoshua Bengio Canada 476k citations
  4. 4 Rob Knight United States 468k citations
  5. 5 George Davey Smith United Kingdom 435k citations
  6. 6 Walter Churchill Willett United States 411k citations
  7. 7 Richard M. Durbin United Kingdom 410k citations
  8. 8 Mark J. Daly United States 403k citations
  9. 9 Stacey L. Gabriel United States 402k citations
  10. 10 Peer Bork Germany 396k citations

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

What are the most cited papers in Bioinformatics and Genomic Networks?

The most cited paper in Bioinformatics and Genomic Networks is "Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles" (Aravind N. Subramanian, Pablo Tamayo, Vamsi Krishna Mootha et al., 2005), with 58,060 citations. Next come "Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks" (55,788) and "Gene Ontology: tool for the unification of biology" (45,425).

Most cited papers
#PaperReleasedCitations
1 Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles Aravind N. Subramanian, Pablo Tamayo, Vamsi Krishna Mootha et al. · Proceedings of the National Academy of Sciences Open access 30 Sep 2005 58,060
2 Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks Paul T. Shannon, Andrew Markiel, Owen W. Ozier et al. · Genome Research Open access Nov 2003 55,788
3 Gene Ontology: tool for the unification of biology Michael Ashburner, Catherine A. Ball, Judith A. Blake et al. · Nature Genetics Open access May 2000 45,425
4 The Protein Data Bank Helen Miriam Berman · Nucleic Acids Research Open access 2000 40,564
5 KEGG: Kyoto Encyclopedia of Genes and Genomes Minoru I. Kanehisa · Nucleic Acids Research Open access 2000 40,289
All 100 most cited papers, with filters and sorting

Where is Bioinformatics and Genomic Networks research done?

The largest centres of Bioinformatics and Genomic Networks research in 2022-now 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, Indianapolis and Cambridge.

Largest cities, 2022-now

  1. 1 BeijingChina 326 works
  2. 2 ShanghaiChina 185 works
  3. 3 GuangzhouChina 123 works
  4. 4 ChangshaChina 111 works
  5. 5 WuhanChina 104 works
  6. 6 LondonUnited Kingdom 103 works
  7. 7 New YorkUnited States 103 works
  8. 8 HangzhouChina 91 works
  9. 9 ParisFrance 88 works
  10. 10 SeoulSouth Korea 88 works

Where it is the local speciality

  1. CatanzaroIT · 25.7 works29×
  2. IndianapolisUS · 20.9 works3.9×
  3. CambridgeGB · 53.2 works3.8×
  4. CambridgeUS · 81.3 works3.7×
  5. BethesdaUS · 38.0 works3.7×
← less than its size predicts1×more →

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, Massachusetts Institute of Technology and Stanford 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%10%20%mean 15.19%fractional works in this field (log) →share of work in the world top 10% →Massachusetts Instit…Harvard UniversityStanford UniversityZhejiang University
above the meannear itbelow it

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.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1Harvard UniversityUnited States 82.918.1%4.4×106 +5.8%
2Massachusetts Institute of TechnologyUnited States 60.123.6%2.6×14 -3.5%
3Stanford UniversityUnited States 59.916.6%3.2×36 -25.5%
4Zhejiang UniversityChina 59.815.6%1.9×39 +35.1%
5Central South UniversityChina 58.910.3%3.3×48 +26.5%
6University of Hong KongChina 55.711.8%2.2×15 +54.2%
7Heidelberg UniversityGermany 54.218.5%3.0×17 +6.8%
8ETH ZurichSwitzerland 53.912.7%2.7×14 +2.0%
9University of WashingtonUnited States 53.210.6%2.9×25 +16.3%
10University of Chinese Academy of SciencesChina 53.114.1%1.8×23 +26.2%

Universities only. The score blends 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 Bioinformatics and Genomic Networks, country by country

Is Bioinformatics and Genomic Networks research growing?

Output in 2022-2025 was 8% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Bioinformatics and Genomic Networks.

still counting19801990200020102020
grewheldshrank

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 Bioinformatics and Genomic Networks as a percentage of every work published that year, 0.033% in 2024.

still counting0.020%0.040%0.060%Bioinformatics and Genomic Networks0.036% in 202519801990200020102020

Fractional works of Bioinformatics and Genomic Networks 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.

still counting5%10%15%Bioinformatics and Genomic Networks9.8% in 2025200020102020

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.

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