Research in San Francisco
Science Explorer records 17 research institutions in San Francisco. The largest by output are PG&E Corporation (United States), Genentech and Plexxikon (United States).
- Research institutions
- 17
- Research works
- 1k ▼ 36% vs 2013–17
- Top-10% rate, 2022–2025
- 27.4% record average 16.5%
A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.
Which research institutions are in San Francisco?
| # | Institution | Works | Against the largest here | World rank |
|---|---|---|---|---|
| 1 | PG&E Corporation (United States)Company | 428 | #23,446 all time | |
| 2 | GenentechCompany | 426 | #3,066 all time | |
| 3 | Plexxikon (United States)Company | 52 | not ranked | |
| 4 | Altos LabsCompany | 43 | not ranked | |
| 5 | Linux FoundationFunder | 18 | not ranked | |
| 6 | Airbnb (United States)Company | 15 | not ranked | |
| 7 | Databricks (United States)Company | 14 | not ranked | |
| 8 | Pinterest (United States)Company | 13 | not ranked | |
| 9 | Lyft (United States)Company | 12 | not ranked | |
| 10 | OpenResearch (United States)Nonprofit | 8 | not ranked | |
| 11 | Medicines360Nonprofit | 3 | not ranked | |
| 12 | Dropbox (United States)Company | 1 | not ranked | |
| 13 | Accelero BiostructuresCompany | 1 | not ranked | |
| 14 | Alleo Labs (United States)Company | 1 | not ranked | |
| 15 | Genentech FoundationNonprofit | 1 | not ranked | |
| 16 | Nora Eccles Treadwell FoundationNonprofit | 1 | not ranked | |
| 17 | Breast Cancer ActionNonprofit | 0 | not ranked |
By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.
How concentrated the city is
The same institutions as shares of everything the list accounts for. A city that is one university and a city that is twelve read alike as a table and not at all alike here.
Shares of the rows listed above, not of the whole node.
What is San Francisco strongest at in research?
Relative to its size, research in San Francisco is most concentrated in Biochemistry, Genetics and Molecular Biology (4.5× the world share in Biochemistry, Genetics and Molecular Biology).
- Biochemistry, Genetics and Molecular BiologyField · 25.3 works4.5×
Location quotient against the world baseline. Inside a single field a city is a meaningful unit, which is why this is where a city is measured at all.
Which keywords describe research in San Francisco?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, DNA Methylation, Epigenetic Reprogramming, Histone Modification, Aging, Deep Learning, Oxidative Stress and Pharmacokinetics.
- Tau Pathology
- Electrical Systems
- Data Stream Management
- Amyloid Hypothesis
- Differentiation
- Pluripotent Stem Cells
- Collaborative Filtering
- Neurodegeneration
- Genetic Regulation
- Caloric Restriction
- Insulin Signaling
- Transcriptional Regulation
- Mitochondrial Function
- Virtual Screening
- Cancer
- Pharmacokinetics
- Aging
- Epigenetic Reprogramming
- DNA Methylation
- Deep Learning
- Machine Learning
- Oxidative Stress
- Neural Networks
- Histone Modification
- Big Data
- Biomarkers
- Molecular Docking
- Gene Expression
- Smart Grid
- Chronic Disease
- Longevity
- Data Integration
- Genomic Instability
- Neuroinflammation
- Matrix Factorization
- Defect Detection
- Inflammatory Diseases
- Continuous Queries
- Eddy Current Testing
- Non-Destructive Evaluation
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this city'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 Learning9▲ 2.5×25 topics
- Deep Learning7▲ 1.87×21 topics
- Oxidative Stress5▲ 3.0×15 topics
- DNA Methylation4▲ 33×3 topics
- Neural Networks4▲ 2.3×11 topics
- Epigenetic Reprogramming4▲ 38×1 topic
- Histone Modification4▲ 50×1 topic
- Aging4▲ 6.4×13 topics
- Big Data3▲ 3.0×9 topics
- Pharmacokinetics3▲ 10×3 topics
- Biomarkers3▲ 3.6×10 topics
- Cancer2▲ 1.78×19 topics
- Molecular Docking2▲ 18×1 topic
- Virtual Screening2▲ 24×1 topic
- Gene Expression2▲ 3.3×10 topics
- Mitochondrial Function2▲ 21×2 topics
- Smart Grid2▲ 4.8×4 topics
- Transcriptional Regulation2▲ 11×6 topics
- Chronic Disease2▲ 9.5×2 topics
- Insulin Signaling2▲ 20×4 topics
- Longevity2▲ 21×2 topics
- Caloric Restriction2▲ 67×1 topic
- Data Integration2▲ 9.4×3 topics
- Genetic Regulation2▲ 9.9×1 topic
- Genomic Instability2▲ 15×2 topics
- Neurodegeneration2▲ 5.2×4 topics
- Neuroinflammation2▲ 5.5×3 topics
- Collaborative Filtering2▲ 41×1 topic
- Matrix Factorization2▲ 41×1 topic
- Pluripotent Stem Cells2▲ 27×2 topics
- Defect Detection1▲ 9.7×2 topics
- Differentiation1▲ 20×2 topics
- Inflammatory Diseases1▲ 6.6×2 topics
- Amyloid Hypothesis1▲ 19×1 topic
- Continuous Queries1▲ 78×1 topic
- Data Stream Management1▲ 78×1 topic
- Eddy Current Testing1▲ 26×1 topic
- Electrical Systems1▲ 28×2 topics
- Non-Destructive Evaluation1▲ 26×1 topic
- Tau Pathology1▲ 19×1 topic
What research is done in San Francisco?
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Epigenetics and DNA Methylation Molecular Biology 4 works
- 2 Computational Drug Discovery Methods Computational Theory and Mathematics 2 works
- 3 Genetics, Aging, and Longevity in Model Organisms Aging 2 works
- 4 Recommender Systems and Techniques Information Systems 2 works
- 5 Pluripotent Stem Cells Research Molecular Biology 1 works
- 6 Non-Destructive Testing Techniques Mechanical Engineering 1 works
- 7 Advanced Database Systems and Queries Computer Networks and Communications 1 works
- 8 Alzheimer's disease research and treatments Physiology 1 works
- 9 Cryptography and Data Security Artificial Intelligence 1 works
- 10 RNA modifications and cancer Molecular Biology 1 works
Research output over time
The same series as a ribbon — one cell per year, darker for more.