Genome Institute of Singapore
In research, Genome Institute of Singapore stands highest in Life Sciences (#3,005 of 7,800 worldwide), 2022–2025. Relative to its size it is most specialised in Molecular Biology and Biochemistry, Genetics and Molecular Biology — Molecular Biology is 9.9× its share of world research.
- World rank, 2022–2025
- #6,512 of 28,054 · #5,094 all time
- Rank in Singapore
- #27 of 84
- Research works
- 959 ▼ 9% vs 2013–17
- Citations
- 62k 64.7 per fractional work
- Top-10% rate
- 31.3% record average 16.5%
- Open access
- 62% world 28%
What is Genome Institute of Singapore known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Life SciencesDomain | #3,005 of 7,800 | 32.4% | 65 | #1964 |
Each strip is that field’s whole ranked pool, with the notch where Genome Institute of Singapore 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 Genome Institute of Singapore specialise in?
Where its research is concentrated relative to its size: Molecular Biology takes 9.9× the share of its output that it takes of world research.
- Molecular BiologySubfield · 35.8 works9.9×
- Biochemistry, Genetics and Molecular BiologyField · 56.6 works8.9×
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, 8.9×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 8.9×
- Immunology and Microbiology 4.1×
- Medicine 2.0×
- Neuroscience 0.8×
- Nursing 0.7×
- Veterinary 0.7×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Agricultural and Biological Sciences 0.4×
- Dentistry 0.3×
- Chemistry 0.3×
- Environmental Science 0.3×
- Materials Science 0.3×
- Psychology 0.2×
- Physics and Astronomy 0.2×
- Computer Science 0.1×
- Mathematics 0.1×
- Engineering 0.1×
- Economics, Econometrics and Finance 0.1×
- Decision Sciences 0.1×
- Social Sciences 0.1×
- Health Professions 0.0×
- Arts and Humanities 0.0×
- Business, Management and Accounting 0.0×
- Earth and Planetary Sciences 0.0×
Who are the top researchers at Genome Institute of Singapore?
Ranked on the composite score, Chiea Chuen Khor, Niranjan Nagarajan and Yijun Ruan lead among researchers whose main affiliation is Genome Institute of Singapore.
- 1 Chiea Chuen Khor Singapore · #11,092 worldwide 810 citations · 61 works
- 2 Niranjan Nagarajan Singapore · #42,447 worldwide 500 citations · 34 works
- 3 Yijun Ruan Singapore · #77,460 worldwide 992 citations · 24 works
- 4 Edison T. Liu Singapore · #102,083 worldwide 425 citations · 45 works
- 5 Jianjun Liu Singapore · #127,510 worldwide 1.6k citations · 423 works
- 6 Bing Lim Singapore · #150,050 worldwide 215 citations · 27 works
- 7 Huck‐Hui Ng Singapore · #161,731 worldwide 359 citations · 20 works
- 8 Mark Seielstad Singapore · #189,101 worldwide 697 citations · 17 works
- 9 Qiang Yu Singapore · #232,183 worldwide 187 citations · 24 works
- 10 Wai Leong Tam Singapore · #346,325 worldwide 96 citations · 21 works
Which keywords describe research at Genome Institute of Singapore?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Gene Expression, Targeted Therapy, Cancer, Tumor Microenvironment, Inflammation, Genomic Instability, RNA-Seq and Cell-Free DNA.
- Translation
- Normalization
- Gene Therapy
- Transcriptomics
- Mutation
- Cancer Epigenetics
- DNA Methylation
- Epigenetic Reprogramming
- Data Analysis
- m6A-seq
- Gene Regulation
- Clinical Trials
- Somatic Mutations
- Mutational Signatures
- Cell-Free DNA
- RNA-Seq
- Chemotherapy
- Oxidative Stress
- Inflammation
- Cancer
- Gene Expression
- Epidemiology
- Targeted Therapy
- Tumor Microenvironment
- Genomic Instability
- Metabolic Syndrome
- Cancer Genomics
- Precision Medicine
- Cancer Progression
- Gene Expression Regulation
- RNA methylation
- Antibiotic Resistance
- Epigenetic Regulation
- Innate Immunity
- Data Integration
- Histone Modification
- Single-Cell
- Breast Cancer
- Treatment Guidelines
- Resistance Mechanisms
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
- Gene Expression8▲ 11×17 topics
- Cancer8▲ 4.8×30 topics
- Epidemiology8▲ 1.63×54 topics
- Inflammation7▲ 2.8×49 topics
- Targeted Therapy6▲ 24×4 topics
- Oxidative Stress5▲ 2.6×25 topics
- Tumor Microenvironment4▲ 8.4×8 topics
- Chemotherapy4▲ 5.0×19 topics
- Genomic Instability4▲ 31×2 topics
- RNA-Seq4▲ 32×2 topics
- Metabolic Syndrome4▲ 4.1×18 topics
- Cell-Free DNA4▲ 33×2 topics
- Cancer Genomics4▲ 44×1 topic
- Mutational Signatures4▲ 44×1 topic
- Precision Medicine4▲ 6.7×7 topics
- Somatic Mutations4▲ 38×2 topics
- Cancer Progression4▲ 16×4 topics
- Clinical Trials4▲ 4.4×8 topics
- Gene Expression Regulation3▲ 25×3 topics
- Gene Regulation3▲ 28×4 topics
- RNA methylation3▲ 28×1 topic
- m6A-seq3▲ 28×1 topic
- Antibiotic Resistance3▲ 5.8×11 topics
- Data Analysis3▲ 8.1×3 topics
- Epigenetic Regulation3▲ 10.0×6 topics
- Epigenetic Reprogramming2▲ 22×2 topics
- Innate Immunity2▲ 6.6×7 topics
- DNA Methylation2▲ 17×2 topics
- Data Integration2▲ 12×2 topics
- Cancer Epigenetics2▲ 27×1 topic
- Histone Modification2▲ 27×1 topic
- Mutation2▲ 10.0×4 topics
- Single-Cell2▲ 43×1 topic
- Transcriptomics2▲ 43×1 topic
- Breast Cancer2▲ 7.7×9 topics
- Gene Therapy2▲ 9.9×4 topics
- Treatment Guidelines2▲ 8.5×3 topics
- Normalization2▲ 35×2 topics
- Resistance Mechanisms2▲ 21×2 topics
- Translation2▲ 10×2 topics
Which research topics does Genome Institute of Singapore publish most on?
By volume in 2022–2025: Cancer Genomics and Diagnostics, RNA modifications and cancer, Epigenetics and DNA Methylation and Single-cell and spatial transcriptomics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cancer Genomics and Diagnostics Cancer Research 4 works
- 2 RNA modifications and cancer Molecular Biology 3 works
- 3 Epigenetics and DNA Methylation Molecular Biology 2 works
- 4 Single-cell and spatial transcriptomics Molecular Biology 2 works
- 5 RNA and protein synthesis mechanisms Molecular Biology 2 works
- 6 Lung Cancer Treatments and Mutations Pulmonary and Respiratory Medicine 2 works
- 7 Dermatology and Skin Diseases Dermatology 2 works
- 8 Genomics and Phylogenetic Studies Molecular Biology 2 works
- 9 CRISPR and Genetic Engineering Molecular Biology 2 works
- 10 Genomics and Chromatin Dynamics Molecular Biology 2 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 Genome Institute of Singapore's research output changed?
Output in 2018–2022 was 9% 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.