Shanghai Center For Bioinformation Technology
In research, Shanghai Center For Bioinformation Technology stands highest in Life Sciences (#6,718 of 14,347 worldwide), Biochemistry, Genetics and Molecular Biology (#4,351 of 7,814 worldwide) and Molecular Biology (#3,104 of 4,961 worldwide), over all time. Relative to its size it is most specialised in Molecular Biology, Biochemistry, Genetics and Molecular Biology and Life Sciences — Molecular Biology is 11.6× its share of world research.
- World rank, 2022–2025
- #10,744 of 28,054 · #15,034 all time
- Rank in China
- #1,930 of 3,058
- Research works
- 342 ▲ 11% vs 2013–17
- Citations
- 12k 35.8 per fractional work
- Top-10% rate
- 28.7% record average 16.5%
- Open access
- 59% world 28%
What is Shanghai Center For Bioinformation Technology 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 | #6,718 of 14,347 | 24.5% | 213 | |
| Biochemistry, Genetics and Molecular BiologyField | #4,351 of 7,814 | 24.1% | 179 | |
| Molecular BiologySubfield | #3,104 of 4,961 | 22.6% | 140 |
Each strip is that field’s whole ranked pool, with the notch where Shanghai Center For Bioinformation Technology 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 Shanghai Center For Bioinformation Technology specialise in?
Where its research is concentrated relative to its size: Molecular Biology takes 11.6× the share of its output that it takes of world research.
- Molecular BiologySubfield · 23.3 works12×
- Biochemistry, Genetics and Molecular BiologyField · 31.9 works9.0×
- Life SciencesDomain · 37.5 works4.3×
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, 9.0×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 9.0×
- Immunology and Microbiology 4.6×
- Pharmacology, Toxicology and Pharmaceutics 2.5×
- Medicine 1.2×
- Nursing 0.9×
- Materials Science 0.9×
- Engineering 0.6×
- Chemistry 0.5×
- Agricultural and Biological Sciences 0.5×
- Neuroscience 0.4×
- Mathematics 0.3×
- Computer Science 0.3×
- Environmental Science 0.3×
- Physics and Astronomy 0.2×
- Health Professions 0.2×
- Decision Sciences 0.2×
- Psychology 0.1×
- Earth and Planetary Sciences 0.0×
- Business, Management and Accounting 0.0×
- Economics, Econometrics and Finance 0.0×
Who are the top researchers at Shanghai Center For Bioinformation Technology?
Ranked on the composite score, Yuanyuan Li and Lu Xie lead among researchers whose main affiliation is Shanghai Center For Bioinformation Technology.
- 1 Yuanyuan Li China · #538,999 worldwide 143 citations · 26 works
- 2 Lu Xie China · #1,245,224 worldwide 25 citations · 31 works
Which keywords describe research at Shanghai Center For Bioinformation Technology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Gene Expression, Cancer, RNA-Seq, Data Integration, Epigenetic Regulation, Single-Cell, Transcriptomics and Cancer Progression.
- Force Field
- Structure
- Population Genetics
- Long Noncoding RNAs
- Gene Set Enrichment Analysis
- Transcription Factors
- RNA-Binding Proteins
- Prediction
- Cell Death
- Histone Modification
- Cancer Epigenetics
- RNA Regulation
- Transcriptional Regulation
- Gene Regulation
- Tumor Microenvironment
- Cancer Progression
- Transcriptomics
- Epigenetic Regulation
- Inflammation
- Cancer
- Gene Expression
- RNA-Seq
- Data Integration
- Single-Cell
- Oxidative Stress
- RNA methylation
- m6A-seq
- Targeted Therapy
- Epigenetic Reprogramming
- Data Analysis
- DNA Methylation
- Alternative Splicing
- Molecular Dynamics
- Protein
- Ribosome
- Translation
- Lab-on-a-Chip
- Normalization
- Protein-Protein Interaction Networks
- Transcriptional Landscape
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 Expression6▲ 16×12 topics
- Cancer5▲ 6.1×26 topics
- RNA-Seq3▲ 47×2 topics
- Inflammation3▲ 2.2×30 topics
- Data Integration3▲ 26×2 topics
- Epigenetic Regulation3▲ 19×6 topics
- Single-Cell3▲ 90×1 topic
- Transcriptomics3▲ 90×1 topic
- Oxidative Stress2▲ 2.1×13 topics
- Cancer Progression2▲ 18×4 topics
- RNA methylation2▲ 31×1 topic
- Tumor Microenvironment2▲ 6.1×5 topics
- m6A-seq2▲ 31×1 topic
- Gene Regulation2▲ 29×4 topics
- Targeted Therapy2▲ 11×4 topics
- Transcriptional Regulation2▲ 16×8 topics
- Epigenetic Reprogramming2▲ 27×2 topics
- RNA Regulation2▲ 23×2 topics
- Data Analysis2▲ 8.1×3 topics
- Cancer Epigenetics1▲ 30×1 topic
- DNA Methylation1▲ 19×2 topics
- Histone Modification1▲ 30×1 topic
- Alternative Splicing1▲ 37×1 topic
- Cell Death1▲ 8.7×4 topics
- Molecular Dynamics1▲ 12×3 topics
- Prediction1▲ 27×2 topics
- Protein1▲ 17×2 topics
- RNA-Binding Proteins1▲ 37×1 topic
- Ribosome1▲ 36×1 topic
- Transcription Factors1▲ 16×3 topics
- Translation1▲ 11×1 topic
- Gene Set Enrichment Analysis1▲ 53×1 topic
- Lab-on-a-Chip1▲ 15×4 topics
- Long Noncoding RNAs1▲ 22×1 topic
- Normalization1▲ 34×2 topics
- Population Genetics1▲ 13×4 topics
- Protein-Protein Interaction Networks1▲ 53×1 topic
- Structure1▲ 41×2 topics
- Transcriptional Landscape1▲ 22×1 topic
- Force Field1▲ 52×1 topic
Which research topics does Shanghai Center For Bioinformation Technology publish most on?
By volume in 2022–2025: Single-cell and spatial transcriptomics, RNA modifications and cancer, Epigenetics and DNA Methylation and RNA Research and Splicing.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Single-cell and spatial transcriptomics Molecular Biology 3 works
- 2 RNA modifications and cancer Molecular Biology 2 works
- 3 Epigenetics and DNA Methylation Molecular Biology 1 works
- 4 RNA Research and Splicing Molecular Biology 1 works
- 5 RNA and protein synthesis mechanisms Molecular Biology 1 works
- 6 Cancer-related molecular mechanisms research Cancer Research 1 works
- 7 Bioinformatics and Genomic Networks Molecular Biology 1 works
- 8 Protein Structure and Dynamics Molecular Biology 1 works
- 9 Enzyme Structure and Function Materials Chemistry 1 works
- 10 Cancer Genomics and Diagnostics Cancer Research 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 Shanghai Center For Bioinformation Technology's research output changed?
Output in 2018–2022 was 11% higher 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 Shanghai
- Shanghai Jiao Tong University
- Tongji University
- Fudan University
- Shanghai University
- East China Normal University
- East China University of Science and Technology
- Donghua University
- University of Shanghai for Science and Technology
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.