Allen Institute for Cell Science
- Research works
- 57 ▲ 337% vs 2013–17
- Citations
- 2.5k 42.9 per fractional work
- Top-10% rate
- 25.8% record average 16.5%
- Open access
- 69% world 28%
Not ranked overall: Allen Institute for Cell Science 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: Biochemistry, Genetics and Molecular Biology, 13.4×. Every wedge is a field page.
- Biochemistry, Genetics and Molecular Biology 13.4×
- Decision Sciences 2.0×
- Mathematics 2.0×
- Environmental Science 1.2×
- Engineering 0.7×
- Pharmacology, Toxicology and Pharmaceutics 0.5×
- Energy 0.5×
- Earth and Planetary Sciences 0.5×
- Immunology and Microbiology 0.4×
- Neuroscience 0.4×
- Agricultural and Biological Sciences 0.2×
- Health Professions 0.1×
- Medicine 0.1×
- Social Sciences 0.1×
- Computer Science 0.0×
Who are the top researchers at Allen Institute for Cell Science?
Ranked on the composite score, Matheus P. Viana lead among researchers whose main affiliation is Allen Institute for Cell Science.
- 1 Matheus P. Viana United States · #449,555 worldwide 48 citations · 24 works
Which keywords describe research at Allen Institute for Cell Science?
By fractional works in all years, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Image Processing, Microscopy, Bioimage Analysis, High-Content Screening, Transcriptional Regulation and Induced Pluripotent Stem Cells.
- Population Dynamics
- Dilated Cardiomyopathy
- Acoustic Communication
- Transcription
- Chromatin
- Reproducibility
- Bioprinting
- Super-Resolution Imaging
- Mechanotransduction
- RNA-Guided
- Cancer Progression
- Bioinformatics
- Transcriptomics
- Tissue Engineering
- Pluripotent Stem Cells
- Data Integration
- High-Content Screening
- Microscopy
- Deep Learning
- Machine Learning
- Image Processing
- Bioimage Analysis
- Transcriptional Regulation
- Induced Pluripotent Stem Cells
- Gene Expression
- Single-Cell
- Stem Cells
- Extracellular Matrix
- Genome Engineering
- Cell Mechanics
- Fluorescent Proteins
- Regenerative Medicine
- Microfluidic Devices
- Scientific Workflows
- Gene Regulation
- Big Data
- Cardiac Imaging
- Genetic Mutations
Size is fractional works in all years 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 38 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 38 words, with their numbers
- Machine Learning11▲ 8.7×10 topics
- Deep Learning11▲ 8.7×8 topics
- Image Processing10▲ 57×3 topics
- Microscopy10▲ 292×2 topics
- Bioimage Analysis10▲ 628×1 topic
- High-Content Screening10▲ 628×1 topic
- Transcriptional Regulation5▲ 33×2 topics
- Data Integration5▲ 33×3 topics
- Induced Pluripotent Stem Cells5▲ 230×1 topic
- Pluripotent Stem Cells5▲ 117×1 topic
- Gene Expression4▲ 13×5 topics
- Tissue Engineering4▲ 15×2 topics
- Single-Cell4▲ 320×1 topic
- Transcriptomics4▲ 320×1 topic
- Stem Cells3▲ 19×3 topics
- Bioinformatics3▲ 45×4 topics
- Extracellular Matrix3▲ 21×4 topics
- Cancer Progression3▲ 21×3 topics
- Genome Engineering3▲ 81×1 topic
- RNA-Guided3▲ 81×1 topic
- Cell Mechanics2▲ 129×1 topic
- Mechanotransduction2▲ 43×1 topic
- Fluorescent Proteins2▲ 143×1 topic
- Super-Resolution Imaging2▲ 92×1 topic
- Regenerative Medicine2▲ 17×2 topics
- Bioprinting2▲ 75×1 topic
- Microfluidic Devices2▲ 41×1 topic
- Reproducibility2▲ 104×1 topic
- Scientific Workflows2▲ 104×1 topic
- Chromatin1▲ 26×1 topic
- Gene Regulation1▲ 16×2 topics
- Transcription1▲ 58×1 topic
- Big Data1▲ 4.2×3 topics
- Acoustic Communication1▲ 34×2 topics
- Cardiac Imaging1▲ 13×2 topics
- Dilated Cardiomyopathy1▲ 23×2 topics
- Genetic Mutations1▲ 3.4×2 topics
- Population Dynamics1▲ 5.7×2 topics
Which research topics does Allen Institute for Cell Science publish most on?
By volume in 2022–2025: Cell Image Analysis Techniques, Single-cell and spatial transcriptomics, 3D Printing in Biomedical Research and Cellular Mechanics and Interactions.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cell Image Analysis Techniques Biophysics 5 works
- 2 Single-cell and spatial transcriptomics Molecular Biology 1 works
- 3 3D Printing in Biomedical Research Biomedical Engineering 1 works
- 4 Cellular Mechanics and Interactions Cell Biology 0 works
- 5 Gene Regulatory Network Analysis Molecular Biology 0 works
- 6 Advanced Fluorescence Microscopy Techniques Biophysics 0 works
- 7 Pluripotent Stem Cells Research Molecular Biology 0 works
- 8 Mathematical Biology Tumor Growth Modeling and Simulation 0 works
- 9 Image Processing Techniques and Applications Media Technology 0 works
- 10 Modular Robots and Swarm Intelligence Mechanical Engineering 0 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 Cell Science's research output changed?
Output in 2018–2022 was 337% 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 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.