Allen Institute for Immunology
- Research works
- 37 fractional, all time
- Citations
- 536 14.5 per fractional work
- Top-10% rate
- 17.0% record average 16.5%
- Open access
- 80% world 28%
Not ranked overall: Allen Institute for Immunology is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Immunology and Microbiology, 28.5×. Every wedge is a field page.
Which keywords describe research at Allen Institute for Immunology?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Data Integration, Gene Expression, Single-Cell, Transcriptomics, Autoimmunity, Foxp3, TGF-ß and Cancer Immunotherapy.
- Innate Immunity
- Proteasome Inhibitors
- Cytokines
- CAR T Cells
- Immunity
- Immunotherapy
- NK Cell Recognition
- Inflammation
- Foxp3
- Transcriptomics
- Gene Expression
- Data Integration
- Single-Cell
- Autoimmunity
- TGF-ß
- Cancer Immunotherapy
- Natural Killer Cells
- Autoantibodies
- Machine Learning
- Chimeric Antigen Receptor
- Genetic Mutations
- Diagnosis Criteria
- International Myeloma Working Group
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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Data Integration4▲ 91×2 topics
- Gene Expression4▲ 25×3 topics
- Single-Cell4▲ 313×1 topic
- Transcriptomics4▲ 313×1 topic
- Autoimmunity3▲ 88×4 topics
- Foxp33▲ 301×1 topic
- TGF-ß3▲ 66×1 topic
- Inflammation2▲ 4.5×15 topics
- Cancer Immunotherapy2▲ 47×3 topics
- NK Cell Recognition2▲ 86×1 topic
- Natural Killer Cells2▲ 86×1 topic
- Immunotherapy1▲ 7.1×2 topics
- Autoantibodies1▲ 20×2 topics
- Immunity1▲ 12×4 topics
- Machine Learning1▲ 1.48×3 topics
- CAR T Cells1▲ 59×1 topic
- Chimeric Antigen Receptor1▲ 59×1 topic
- Cytokines1▲ 14×4 topics
- Genetic Mutations1▲ 9.5×4 topics
- Proteasome Inhibitors1▲ 57×2 topics
- Diagnosis Criteria1▲ 105×1 topic
- Innate Immunity1▲ 12×4 topics
- International Myeloma Working Group1▲ 105×1 topic
Which research topics does Allen Institute for Immunology publish most on?
By volume in 2022–2025: Single-cell and spatial transcriptomics, T-cell and B-cell Immunology, Immune Cell Function and Interaction and CAR-T cell therapy research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Single-cell and spatial transcriptomics Molecular Biology 4 works
- 2 T-cell and B-cell Immunology Immunology 3 works
- 3 Immune Cell Function and Interaction Immunology 2 works
- 4 CAR-T cell therapy research Oncology 1 works
- 5 Multiple Myeloma Research and Treatments Hematology 1 works
- 6 Immunodeficiency and Autoimmune Disorders Immunology 1 works
- 7 Cell Image Analysis Techniques Biophysics 1 works
- 8 Cancer Immunotherapy and Biomarkers Oncology 1 works
- 9 Rheumatoid Arthritis Research and Therapies Rheumatology 1 works
- 10 Research Data Management Practices Information Systems 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 Allen Institute for Immunology's research output changed?
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 Seattle
- University of Washington
- Seattle University
- Fred Hutch Cancer Center
- University of Washington Medical Center
- University of Washington Applied Physics Laboratory
- Seattle Children's Hospital
- Amazon (United States)
- Virginia Mason Medical Center
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.