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Research facility · Shanghai · China

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.

FieldWorld rankWhere that sitsTop-10% rateWorks
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.

  1. Molecular BiologySubfield · 23.3 works12×
  2. Biochemistry, Genetics and Molecular BiologyField · 31.9 works9.0×
  3. Life SciencesDomain · 37.5 works4.3×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 0.48× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 9.03× its world share, 32 worksBiochemistry, Geneti…Immunology and Microbiology: 4.57× its world share, 3 worksImmunology and Micro…Neuroscience: 0.43× its world share, 0 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 2.55× its world share, 1 worksPharmacology, Toxico…Chemistry: 0.51× its world share, 0 worksChemistryComputer Science: 0.30× its world share, 2 worksComputer ScienceEarth and Planetary Sciences: 0.04× its world share, 0 worksEarth and Planetary …Engineering: 0.64× its world share, 6 worksEngineeringEnvironmental Science: 0.29× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.89× its world share, 2 worksMaterials ScienceMathematics: 0.33× its world share, 0 worksMathematicsPhysics and Astronomy: 0.24× its world share, 0 worksPhysics and AstronomyHealth Professions: 0.21× its world share, 0 worksHealth ProfessionsMedicine: 1.24× its world share, 16 worksMedicineNursing: 0.94× its world share, 0 worksNursingBusiness, Management and Accounting: 0.03× its world share, 0 worksBusiness, Management…Decision Sciences: 0.17× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.01× its world share, 0 worksEconomics, Econometr…Psychology: 0.06× its world share, 0 worksPsychologyworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Biochemistry, Genetics and Molecular Biology, 9.0×. Every wedge is a field page.

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. 1 Yuanyuan Li China · #538,999 worldwide 143 citations · 26 works
  2. 2 Lu Xie China · #1,245,224 worldwide 25 citations · 31 works
All ranked researchers at Shanghai Center For Bioinformation Technology

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Gene Expression6▲ 16×12 topics
  2. Cancer5▲ 6.1×26 topics
  3. RNA-Seq3▲ 47×2 topics
  4. Inflammation3▲ 2.2×30 topics
  5. Data Integration3▲ 26×2 topics
  6. Epigenetic Regulation3▲ 19×6 topics
  7. Single-Cell3▲ 90×1 topic
  8. Transcriptomics3▲ 90×1 topic
  9. Oxidative Stress2▲ 2.1×13 topics
  10. Cancer Progression2▲ 18×4 topics
  11. RNA methylation2▲ 31×1 topic
  12. Tumor Microenvironment2▲ 6.1×5 topics
  13. m6A-seq2▲ 31×1 topic
  14. Gene Regulation2▲ 29×4 topics
  15. Targeted Therapy2▲ 11×4 topics
  16. Transcriptional Regulation2▲ 16×8 topics
  17. Epigenetic Reprogramming2▲ 27×2 topics
  18. RNA Regulation2▲ 23×2 topics
  19. Data Analysis2▲ 8.1×3 topics
  20. Cancer Epigenetics1▲ 30×1 topic
  21. DNA Methylation1▲ 19×2 topics
  22. Histone Modification1▲ 30×1 topic
  23. Alternative Splicing1▲ 37×1 topic
  24. Cell Death1▲ 8.7×4 topics
  25. Molecular Dynamics1▲ 12×3 topics
  26. Prediction1▲ 27×2 topics
  27. Protein1▲ 17×2 topics
  28. RNA-Binding Proteins1▲ 37×1 topic
  29. Ribosome1▲ 36×1 topic
  30. Transcription Factors1▲ 16×3 topics
  31. Translation1▲ 11×1 topic
  32. Gene Set Enrichment Analysis1▲ 53×1 topic
  33. Lab-on-a-Chip1▲ 15×4 topics
  34. Long Noncoding RNAs1▲ 22×1 topic
  35. Normalization1▲ 34×2 topics
  36. Population Genetics1▲ 13×4 topics
  37. Protein-Protein Interaction Networks1▲ 53×1 topic
  38. Structure1▲ 41×2 topics
  39. Transcriptional Landscape1▲ 22×1 topic
  40. 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.

  1. 1 Single-cell and spatial transcriptomics Molecular Biology 3 works
  2. 2 RNA modifications and cancer Molecular Biology 2 works
  3. 3 Epigenetics and DNA Methylation Molecular Biology 1 works
  4. 4 RNA Research and Splicing Molecular Biology 1 works
  5. 5 RNA and protein synthesis mechanisms Molecular Biology 1 works
  6. 6 Cancer-related molecular mechanisms research Cancer Research 1 works
  7. 7 Bioinformatics and Genomic Networks Molecular Biology 1 works
  8. 8 Protein Structure and Dynamics Molecular Biology 1 works
  9. 9 Enzyme Structure and Function Materials Chemistry 1 works
  10. 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.

openly available58.7%not open41.3%

World: 28% of research is openly available.

with international co-authors30.1%domestic only69.9%

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.

2005201020152020
grewheldshrank

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

All research institutions in Shanghai

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.