- World rank, all time
- #30,300 of 34,923
- Rank in United States
- #6,388 of 7,310
- Research works
- 124 ▲ 12% vs 2018-21
- Citations
- 2.4k 19.0 per fractional work
- Top-10% rate
- 15.8% all institutions 10.0%
- vs its own fields
- 0.96× 1.00× is exactly expected
- Open access
- 58% world 40%
- International
- 35% world 18%
Which fields of science does TriNetX (United States) work in?
In 2022-now, 68% of research at TriNetX (United States) is in Health Sciences, 13% in Life Sciences. Its largest fields are Medicine (64%), Biochemistry, Genetics and Molecular Biology (9%), Computer Science (8%). It does 2.6× the world's share of Health Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 20 fields, with their numbers
- Health Sciences4668.1%
- Medicine4363.9%
- Health Professions23.7%
- Nursing00.5%
- Dentistry00.1%
- Life Sciences913.0%
- Physical Sciences812.4%
- Computer Science68.3%
- Environmental Science11.0%
- Mathematics11.0%
- Engineering00.7%
- Materials Science00.7%
- Physics and Astronomy00.5%
- Chemistry00.2%
- Social Sciences46.5%
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: Medicine, 3.3×. Every wedge is a field page.
All 20 fields, with their numbers
- Medicine3.32×43 works
- Immunology and Microbiology3.29×2 works
- Pharmacology, Toxicology and Pharmaceutics3.03×1 works
- Biochemistry, Genetics and Molecular Biology1.61×6 works
- Health Professions1.39×2 works
- Decision Sciences1.35×1 works
- Economics, Econometrics and Finance1.31×2 works
- Computer Science1.07×6 works
- Nursing0.94×0 works
- Mathematics0.81×1 works
- Psychology0.38×1 works
- Physics and Astronomy0.22×0 works
- Materials Science0.21×0 works
- Environmental Science0.20×1 works
- Dentistry0.20×0 works
- Business, Management and Accounting0.13×0 works
- Chemistry0.11×0 works
- Social Sciences0.06×0 works
- Engineering0.05×0 works
- Neuroscience0.03×0 works
- Medicine 3.3×
- Immunology and Microbiology 3.3×
- Pharmacology, Toxicology and Pharmaceutics 3.0×
- Biochemistry, Genetics and Molecular Biology 1.6×
- Health Professions 1.4×
- Decision Sciences 1.4×
- Economics, Econometrics and Finance 1.3×
- Computer Science 1.1×
- Nursing 0.9×
- Mathematics 0.8×
- Psychology 0.4×
- Physics and Astronomy 0.2×
- Materials Science 0.2×
- Environmental Science 0.2×
- Dentistry 0.2×
- Business, Management and Accounting 0.1×
- Chemistry 0.1×
- Social Sciences 0.1×
- Engineering 0.1×
- Neuroscience 0.0×
Who are the top researchers at TriNetX (United States)?
Ranked on the quality score, Matvey B. Palchuk, Sierra Luciano and Gema Hernandez lead among researchers whose main affiliation is TriNetX (United States).
- 1
Matvey B. Palchuk
United States · #400,545 worldwide 3.4k citations · 99 works
- 2
Sierra Luciano
United States · #703,060 worldwide 5.5k citations · 24 works
- 3
Gema Hernandez
United States · #735,930 worldwide 164 citations · 33 works
- 4
Elnara Fazio‐Eynullayeva
United States · #1,205,422 worldwide 1.3k citations · 45 works
- 5
Gema Hernández
United States · #1,684,712 worldwide 418 citations · 75 works
- 6
Zuzanna J. Drebert
United States · #2,336,866 worldwide 1.1k citations · 27 works
- 7
Kaylen Brzozowski
United States · #2,401,472 worldwide 103 citations · 26 works
- 8
Courtney N. Thompson
United States · #3,190,461 worldwide 906 citations · 27 works
- 9
Seth P. Kuranz
United States · #4,370,996 worldwide 401 citations · 54 works
Which keywords describe research at TriNetX (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Epidemiology, Precision Medicine, Diagnosis, Metabolic Syndrome, Type 2 Diabetes, Heart Failure, Electronic Health Records and Breast Cancer.
- Targeted Therapy
- Pneumonia Detection
- Staging System
- Genetic Variation
- Patient Similarity
- SARS-CoV-2
- Glucose Control
- Diabetes
- Predictive Modeling
- Clinical Practice Guidelines
- Pathophysiology
- Treatment
- Management
- Glycemic Control
- Chemotherapy
- Biomarkers
- Type 2 Diabetes
- Cardiovascular Disease
- Diagnosis
- Precision Medicine
- Epidemiology
- Deep Learning
- Metabolic Syndrome
- Quality of Life
- Heart Failure
- Breast Cancer
- Electronic Health Records
- Insulin Therapy
- Public Health
- Healthcare
- Clinical Guidelines
- Medical Imaging
- Clinical Trials
- Cardiovascular Outcomes
- ACE2 Receptor
- Clinical Event Prediction
- Primary Care
- Minimal Residual Disease
- Chest X-Ray
- TGF-ß
Size is fractional works in 2022-now 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
- Epidemiology11▲ 4.2×35 topics
- Precision Medicine5▲ 14×6 topics
- Deep Learning4▲ 1.79×5 topics
- Diagnosis4▲ 6.6×17 topics
- Metabolic Syndrome4▲ 7.3×10 topics
- Cardiovascular Disease4▲ 4.6×15 topics
- Quality of Life3▲ 3.2×10 topics
- Type 2 Diabetes3▲ 20×3 topics
- Heart Failure3▲ 9.9×5 topics
- Biomarkers3▲ 5.9×7 topics
- Breast Cancer3▲ 17×5 topics
- Chemotherapy3▲ 5.8×10 topics
- Electronic Health Records3▲ 41×2 topics
- Glycemic Control3▲ 26×3 topics
- Insulin Therapy3▲ 33×3 topics
- Management3▲ 4.9×9 topics
- Public Health3▲ 2.7×6 topics
- Treatment3▲ 3.2×16 topics
- Healthcare2▲ 3.2×4 topics
- Pathophysiology2▲ 12×2 topics
- Clinical Guidelines2▲ 11×3 topics
- Clinical Practice Guidelines2▲ 5.8×8 topics
- Medical Imaging2▲ 6.2×3 topics
- Predictive Modeling2▲ 12×2 topics
- Clinical Trials2▲ 4.7×8 topics
- Diabetes2▲ 6.3×5 topics
- Cardiovascular Outcomes2▲ 49×1 topic
- Glucose Control2▲ 49×1 topic
- ACE2 Receptor2▲ 12×2 topics
- SARS-CoV-22▲ 8.6×2 topics
- Clinical Event Prediction2▲ 38×1 topic
- Patient Similarity2▲ 38×1 topic
- Primary Care2▲ 6.8×4 topics
- Genetic Variation2▲ 11×3 topics
- Minimal Residual Disease2▲ 34×2 topics
- Staging System2▲ 39×2 topics
- Chest X-Ray2▲ 31×1 topic
- Pneumonia Detection2▲ 31×1 topic
- TGF-ß2▲ 14×3 topics
- Targeted Therapy2▲ 10×3 topics
Which research topics does TriNetX (United States) publish most on?
By volume in 2022-now: Diabetes Treatment and Management, Machine Learning in Healthcare, COVID-19 diagnosis using AI and Multiple Myeloma Research and Treatments.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Diabetes Treatment and Management Endocrinology, Diabetes and Metabolism 2 works
- 2 Machine Learning in Healthcare Artificial Intelligence 2 works
- 3 COVID-19 diagnosis using AI Radiology, Nuclear Medicine and Imaging 2 works
- 4 Multiple Myeloma Research and Treatments Hematology 1 works
- 5 Nutrition, Genetics, and Disease Genetics 1 works
- 6 COVID-19 Clinical Research Studies Infectious Diseases 1 works
- 7 Endometriosis Research and Treatment Reproductive Medicine 1 works
- 8 Advanced Breast Cancer Therapies Pulmonary and Respiratory Medicine 1 works
- 9 Psoriasis: Treatment and Pathogenesis Immunology 1 works
- 10 Electronic Health Records Systems Health Information Management 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: 40% of research is openly available.
World: 18% is written across borders.
How has TriNetX (United States)'s research output changed?
Output in 2022-2025 was 12% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is TriNetX (United States) as a percentage of every work published that year, 0.00023% in 2024.
Fractional works of TriNetX (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Cambridge
- Harvard University
- Massachusetts Institute of Technology
- National Bureau of Economic Research
- World Wide Web Consortium
- Biogen (United States)
- Draper Laboratory
- Cambridge Health Alliance
- Harvard Global Health Institute
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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