Bioinformatics Institute
In research, Bioinformatics Institute stands highest in Life Sciences (#4,719 of 14,347 worldwide), Biochemistry, Genetics and Molecular Biology (#3,102 of 7,814 worldwide) and Molecular Biology (#2,208 of 4,961 worldwide), over all time. Relative to its size it is most specialised in Molecular Biology and Biochemistry, Genetics and Molecular Biology — Molecular Biology is 8.1× its share of world research.
- World rank, 2022–2025
- #10,697 of 28,054 · #9,930 all time
- Rank in Singapore
- #47 of 84
- Research works
- 671 ▼ 23% vs 2013–17
- Citations
- 29k 43.4 per fractional work
- Top-10% rate
- 22.1% record average 16.5%
- Open access
- 64% world 28%
What is Bioinformatics Institute known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Life SciencesDomain | #4,719 of 14,347 | 26.1% | 357 | |
| Biochemistry, Genetics and Molecular BiologyField | #3,102 of 7,814 | 26.4% | 298 | |
| Molecular BiologySubfield | #2,208 of 4,961 | 25.5% | 231 | |
| MedicineField | #8,315 of 17,978 | 28.3% | 133 | |
| Health SciencesDomain | #10,699 of 20,462 | 28.6% | 141 | |
| Physical SciencesDomain | #13,305 of 21,541 | 27.8% | 151 |
Each strip is that field’s whole ranked pool, with the notch where Bioinformatics Institute sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
What does Bioinformatics Institute specialise in?
Where its research is concentrated relative to its size: Molecular Biology takes 8.1× the share of its output that it takes of world research.
- Molecular BiologySubfield · 31.0 works8.1×
- Biochemistry, Genetics and Molecular BiologyField · 41.9 works6.2×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 6.2×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 6.2×
- Pharmacology, Toxicology and Pharmaceutics 5.8×
- Immunology and Microbiology 3.7×
- Neuroscience 2.0×
- Chemistry 1.7×
- Medicine 1.4×
- Nursing 1.4×
- Business, Management and Accounting 1.2×
- Agricultural and Biological Sciences 0.8×
- Computer Science 0.8×
- Chemical Engineering 0.8×
- Environmental Science 0.5×
- Veterinary 0.5×
- Energy 0.5×
- Materials Science 0.4×
- Decision Sciences 0.3×
- Engineering 0.2×
- Health Professions 0.2×
- Physics and Astronomy 0.2×
- Economics, Econometrics and Finance 0.2×
- Psychology 0.2×
- Mathematics 0.2×
- Social Sciences 0.1×
- Earth and Planetary Sciences 0.1×
- Dentistry 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Bioinformatics Institute?
Ranked on the composite score, Sebastian Maurer‐Stroh, Baby Joseph and Chandra Verma lead among researchers whose main affiliation is Bioinformatics Institute.
- 1 Sebastian Maurer‐Stroh Singapore · #180,861 worldwide 201 citations · 31 works
- 2 Baby Joseph Singapore · #294,836 worldwide 118 citations · 24 works
- 3 Chandra Verma Singapore · #731,603 worldwide 188 citations · 53 works
- 4 Frank Eisenhaber Singapore · #1,228,920 worldwide 55 citations · 27 works
- 5 Peter J. Bond Singapore · #1,258,701 worldwide 58 citations · 26 works
- 6 Vladimir A. Kuznetsov Singapore · #1,292,682 worldwide 54 citations · 21 works
Which keywords describe research at Bioinformatics Institute?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Gene Expression, Cancer, Pharmacokinetics, Epidemiology, Oxidative Stress, Cancer Therapy and Protein.
- Transcriptomics
- Data Integration
- Structure
- RNA Structure
- Drug Target Identification
- Translation
- Molecular Docking
- Molecular Dynamics
- Cellular Imaging
- Metabolism
- Glycosylation
- RNA-Seq
- Immune Response
- Protein
- Corporate Governance
- Financial Performance
- Pharmacokinetics
- Deep Learning
- Inflammation
- Epidemiology
- Machine Learning
- Cancer
- Oxidative Stress
- Gene Expression
- Cancer Therapy
- Biomarkers
- Vaccine
- Precision Medicine
- Prediction
- Tissue Engineering
- Genomics
- Medicinal Chemistry
- Drug Discovery
- Monoclonal Antibodies
- Therapeutic Antibodies
- Vaccine Development
- Force Field
- Ribosome
- Virtual Screening
- Single-Cell
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Machine Learning10▲ 2.3×24 topics
- Epidemiology8▲ 1.67×42 topics
- Cancer6▲ 3.5×32 topics
- Inflammation6▲ 2.1×40 topics
- Oxidative Stress6▲ 2.7×27 topics
- Deep Learning5▲ 1.22×23 topics
- Gene Expression5▲ 6.3×12 topics
- Pharmacokinetics4▲ 12×6 topics
- Cancer Therapy4▲ 5.2×16 topics
- Financial Performance4▲ 5.0×5 topics
- Biomarkers4▲ 4.1×11 topics
- Corporate Governance3▲ 3.6×4 topics
- Vaccine3▲ 6.5×10 topics
- Protein3▲ 20×3 topics
- Precision Medicine3▲ 5.1×7 topics
- Immune Response3▲ 4.0×16 topics
- Prediction3▲ 31×2 topics
- RNA-Seq3▲ 21×2 topics
- Tissue Engineering3▲ 3.7×6 topics
- Glycosylation3▲ 20×3 topics
- Genomics3▲ 7.2×7 topics
- Metabolism3▲ 4.2×15 topics
- Medicinal Chemistry2▲ 7.2×5 topics
- Cellular Imaging2▲ 20×2 topics
- Drug Discovery2▲ 8.5×6 topics
- Molecular Dynamics2▲ 11×3 topics
- Monoclonal Antibodies2▲ 21×3 topics
- Molecular Docking2▲ 14×2 topics
- Therapeutic Antibodies2▲ 26×2 topics
- Translation2▲ 10×2 topics
- Vaccine Development2▲ 7.3×6 topics
- Drug Target Identification2▲ 19×1 topic
- Force Field2▲ 53×1 topic
- RNA Structure2▲ 33×1 topic
- Ribosome2▲ 33×1 topic
- Structure2▲ 40×1 topic
- Virtual Screening2▲ 19×1 topic
- Data Integration2▲ 9.8×2 topics
- Single-Cell2▲ 35×1 topic
- Transcriptomics2▲ 35×1 topic
Which research topics does Bioinformatics Institute publish most on?
By volume in 2022–2025: RNA and protein synthesis mechanisms, Computational Drug Discovery Methods, Protein Structure and Dynamics and Single-cell and spatial transcriptomics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 RNA and protein synthesis mechanisms Molecular Biology 2 works
- 2 Computational Drug Discovery Methods Computational Theory and Mathematics 2 works
- 3 Protein Structure and Dynamics Molecular Biology 2 works
- 4 Single-cell and spatial transcriptomics Molecular Biology 2 works
- 5 Monoclonal and Polyclonal Antibodies Research Radiology, Nuclear Medicine and Imaging 2 works
- 6 Bioinformatics and Genomic Networks Molecular Biology 2 works
- 7 Corporate Governance and Financial Management Strategy and Management 2 works
- 8 Mosquito-borne diseases and control Public Health, Environmental and Occupational Health 1 works
- 9 Cell Image Analysis Techniques Biophysics 1 works
- 10 SARS-CoV-2 and COVID-19 Research Infectious Diseases 1 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Bioinformatics Institute's research output changed?
Output in 2018–2022 was 23% lower than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Singapore
- National University of Singapore
- Nanyang Technological University
- Agency for Science, Technology and Research
- Singapore General Hospital
- Singapore Management University
- National University Hospital
- Institute for Infocomm Research
- Singapore University of Technology and Design
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.