- World rank, 2022–2025
- #15,646 of 28,054 · #27,167 all time
- Rank in United States
- #2,208 of 4,192
- Research works
- 127 ▲ 85% vs 2013–17
- Citations
- 3k 23.4 per fractional work
- Top-10% rate
- 12.8% record average 16.5%
- Open access
- 44% world 28%
What does Addgene specialise in?
Where its research is concentrated relative to its size: Biochemistry, Genetics and Molecular Biology takes 6.0× the share of its output that it takes of world research.
- Biochemistry, Genetics and Molecular BiologyField · 20.5 works6.0×
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, 6.0×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 6.0×
- Immunology and Microbiology 4.2×
- Medicine 2.6×
- Pharmacology, Toxicology and Pharmaceutics 1.5×
- Neuroscience 1.4×
- Dentistry 0.6×
- Computer Science 0.5×
- Economics, Econometrics and Finance 0.4×
- Agricultural and Biological Sciences 0.2×
- Engineering 0.2×
- Health Professions 0.1×
- Arts and Humanities 0.1×
- Environmental Science 0.1×
- Business, Management and Accounting 0.1×
- Social Sciences 0.1×
- Mathematics 0.0×
- Chemistry 0.0×
Who are the top researchers at Addgene?
Ranked on the composite score, Nikita Kotlov and Alexander Bagaev lead among researchers whose main affiliation is Addgene.
- 1 Nikita Kotlov United States · #780,665 worldwide 10 citations · 20 works
- 2 Alexander Bagaev United States · #1,016,968 worldwide 16 citations · 16 works
Which keywords describe research at Addgene?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Targeted Therapy, Immunotherapy, Genomic Instability, Cancer Genomics, Mutational Signatures, Gene Expression, Lymphoma and Tumor Microenvironment.
- Stem Cells
- Chimeric Antigen Receptor
- Therapeutic Targets
- Quantitative
- Immunity
- Metastatic
- Cell Death
- Normalization
- PD-1 and PD-L1
- Data Analysis
- Tumor Regression
- Genetic Pathogenesis
- PET Imaging
- Molecular Profiling
- Chemotherapy
- Tumor Microenvironment
- Lymphoma
- Gene Expression
- Cancer Genomics
- Immunotherapy
- Targeted Therapy
- Genomic Instability
- Mutational Signatures
- Cancer
- Machine Learning
- Rituximab
- Prognostic Factors
- Gene Expression Profiling
- Classification
- Cancer Immunotherapy
- Clinical Practice Guidelines
- Immune Checkpoint Blockade
- Molecular Characterization
- Precision Medicine
- Genetic Mutations
- Autoantibodies
- Leukemia
- Real-Time PCR
- CAR T Cells
- Prognosis
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
- Targeted Therapy7▲ 50×4 topics
- Immunotherapy6▲ 14×14 topics
- Genomic Instability6▲ 83×2 topics
- Cancer Genomics6▲ 126×1 topic
- Mutational Signatures6▲ 126×1 topic
- Gene Expression6▲ 14×7 topics
- Cancer5▲ 5.7×12 topics
- Lymphoma5▲ 46×3 topics
- Machine Learning5▲ 2.2×8 topics
- Tumor Microenvironment5▲ 16×6 topics
- Rituximab4▲ 47×3 topics
- Chemotherapy4▲ 9.1×11 topics
- Prognostic Factors4▲ 14×9 topics
- Molecular Profiling4▲ 57×3 topics
- Gene Expression Profiling3▲ 66×2 topics
- PET Imaging3▲ 31×4 topics
- Classification3▲ 11×1 topic
- Genetic Pathogenesis3▲ 90×1 topic
- Cancer Immunotherapy3▲ 27×3 topics
- Tumor Regression2▲ 34×2 topics
- Clinical Practice Guidelines2▲ 6.7×4 topics
- Data Analysis2▲ 13×3 topics
- Immune Checkpoint Blockade2▲ 31×1 topic
- PD-1 and PD-L12▲ 31×1 topic
- Molecular Characterization2▲ 19×4 topics
- Normalization2▲ 64×2 topics
- Precision Medicine2▲ 6.6×5 topics
- Cell Death2▲ 13×2 topics
- Genetic Mutations2▲ 6.5×7 topics
- Metastatic2▲ 46×2 topics
- Autoantibodies2▲ 11×4 topics
- Immunity2▲ 6.7×3 topics
- Leukemia2▲ 31×2 topics
- Quantitative2▲ 29×1 topic
- Real-Time PCR2▲ 98×1 topic
- Therapeutic Targets2▲ 18×3 topics
- CAR T Cells2▲ 35×1 topic
- Chimeric Antigen Receptor2▲ 35×1 topic
- Prognosis2▲ 7.7×4 topics
- Stem Cells2▲ 9.7×3 topics
Which research topics does Addgene publish most on?
By volume in 2022–2025: Cancer Genomics and Diagnostics, Lymphoma Diagnosis and Treatment, Cancer Immunotherapy and Biomarkers and Molecular Biology Techniques and Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cancer Genomics and Diagnostics Cancer Research 6 works
- 2 Lymphoma Diagnosis and Treatment Pathology and Forensic Medicine 3 works
- 3 Cancer Immunotherapy and Biomarkers Oncology 2 works
- 4 Molecular Biology Techniques and Applications Molecular Biology 2 works
- 5 CAR-T cell therapy research Oncology 2 works
- 6 Ferroptosis and cancer prognosis Pulmonary and Respiratory Medicine 2 works
- 7 Myasthenia Gravis and Thymoma Neurology 1 works
- 8 Sarcoma Diagnosis and Treatment Pulmonary and Respiratory Medicine 1 works
- 9 Pituitary Gland Disorders and Treatments Endocrinology, Diabetes and Metabolism 1 works
- 10 Chronic Lymphocytic Leukemia Research Genetics 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 Addgene's research output changed?
Output in 2018–2022 was 85% 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 Cambridge
- Harvard University
- Massachusetts Institute of Technology
- Center for Astrophysics Harvard & Smithsonian
- National Bureau of Economic Research
- IIT@MIT
- World Wide Web Consortium
- Broad Institute
- Smithsonian Astrophysical Observatory
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.