- World rank, all time
- #27,746 of 42,892
- Rank in China
- #2,693 of 3,536
- Research works
- 148 ▲ 442% vs 2013–17
- Citations
- 4.5k 30.2 per fractional work
- Top-10% rate
- 26.4% record average 16.5%
- Open access
- 59% world 28%
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, 8.4×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 8.4×
- Pharmacology, Toxicology and Pharmaceutics 3.5×
- Immunology and Microbiology 2.7×
- Neuroscience 2.0×
- Medicine 1.5×
- Computer Science 1.4×
- Dentistry 0.9×
- Mathematics 0.4×
- Nursing 0.3×
- Materials Science 0.2×
- Chemistry 0.2×
- Social Sciences 0.2×
- Engineering 0.2×
- Health Professions 0.1×
- Earth and Planetary Sciences 0.1×
- Physics and Astronomy 0.1×
- Psychology 0.1×
- Environmental Science 0.0×
Who are the top researchers at Cipher Gene (China)?
Ranked on the composite score, Jialiang Yang and Geng Tian lead among researchers whose main affiliation is Cipher Gene (China).
- 1 Jialiang Yang China · #577,472 worldwide 122 citations · 31 works
- 2 Geng Tian China · #1,268,579 worldwide 21 citations · 21 works
Which keywords describe research at Cipher Gene (China)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Cancer, Genetic Variants, Bioinformatics, Tumor Microenvironment, Genetic Mutations, Medical Imaging and Clinical Genomics.
- Convolutional Neural Networks
- Brain Development
- Dendritic Spines
- Microbial Communities
- Gut Microbiota
- Radiomics
- Drug Resistance
- Virtual Screening
- Quantitative Analysis
- Inflammatory Diseases
- Amino Acid Composition
- Predictive Modeling
- Protein
- Feature Extraction
- Pharmacokinetics
- Medical Imaging
- Gene Expression
- Tumor Microenvironment
- Bioinformatics
- Cancer
- Machine Learning
- Inflammation
- Genetic Variants
- Clinical Genomics
- Genetic Mutations
- Sequence Interpretation
- Precision Medicine
- Prediction
- Gene Set Enrichment Analysis
- Protein-Protein Interaction Networks
- Deep Learning
- Molecular Docking
- Subcellular Localization
- Chemotherapy
- Oxidative Stress
- Tumor Heterogeneity
- Immunotherapy
- Neurodevelopmental Disorders
- Epidemiology
- Cell Death
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 Learning6▲ 5.0×13 topics
- Cancer3▲ 4.9×14 topics
- Inflammation2▲ 2.5×13 topics
- Bioinformatics2▲ 44×2 topics
- Genetic Variants2▲ 28×2 topics
- Tumor Microenvironment2▲ 11×5 topics
- Clinical Genomics2▲ 135×1 topic
- Gene Expression2▲ 7.6×6 topics
- Genetic Mutations2▲ 11×7 topics
- Medical Imaging2▲ 9.0×3 topics
- Sequence Interpretation2▲ 135×1 topic
- Pharmacokinetics2▲ 16×2 topics
- Precision Medicine2▲ 9.2×4 topics
- Feature Extraction2▲ 9.0×3 topics
- Prediction2▲ 53×2 topics
- Protein2▲ 34×2 topics
- Gene Set Enrichment Analysis2▲ 112×1 topic
- Predictive Modeling2▲ 14×2 topics
- Protein-Protein Interaction Networks2▲ 112×1 topic
- Amino Acid Composition1▲ 144×1 topic
- Deep Learning1◆ 1.02×5 topics
- Inflammatory Diseases1▲ 19×2 topics
- Molecular Docking1▲ 28×1 topic
- Quantitative Analysis1▲ 17×2 topics
- Subcellular Localization1▲ 144×1 topic
- Virtual Screening1▲ 38×1 topic
- Chemotherapy1▲ 4.7×5 topics
- Drug Resistance1▲ 12×3 topics
- Oxidative Stress1▲ 2.0×6 topics
- Radiomics1▲ 28×1 topic
- Tumor Heterogeneity1▲ 28×1 topic
- Gut Microbiota1▲ 9.0×1 topic
- Immunotherapy1▲ 4.3×7 topics
- Microbial Communities1▲ 7.4×1 topic
- Neurodevelopmental Disorders1▲ 23×4 topics
- Dendritic Spines1▲ 36×2 topics
- Epidemiology1▼ 0.74×6 topics
- Brain Development1▲ 15×2 topics
- Cell Death1▲ 11×3 topics
- Convolutional Neural Networks1▲ 3.7×3 topics
Which research topics does Cipher Gene (China) publish most on?
By volume in 2022–2025: Genomics and Rare Diseases, Bioinformatics and Genomic Networks, Machine Learning in Bioinformatics and Computational Drug Discovery Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Genomics and Rare Diseases Genetics 2 works
- 2 Bioinformatics and Genomic Networks Molecular Biology 2 works
- 3 Machine Learning in Bioinformatics Molecular Biology 1 works
- 4 Computational Drug Discovery Methods Computational Theory and Mathematics 1 works
- 5 Radiomics and Machine Learning in Medical Imaging Radiology, Nuclear Medicine and Imaging 1 works
- 6 Gut microbiota and health Molecular Biology 1 works
- 7 Genomic variations and chromosomal abnormalities Genetics 1 works
- 8 Genetics and Neurodevelopmental Disorders Genetics 1 works
- 9 Cancer Immunotherapy and Biomarkers Oncology 1 works
- 10 Pancreatic and Hepatic Oncology Research Oncology 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 Cipher Gene (China)'s research output changed?
Output in 2018–2022 was 442% 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 Beijing
- Chinese Academy of Sciences
- Tsinghua University
- Peking University
- University of Chinese Academy of Sciences
- Beihang University
- Beijing Institute of Technology
- Chinese Academy of Medical Sciences & Peking Union Medical College
- North China Electric Power University
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.