University of California, San Francisco

13.9M citations
233.9k papers ·

Impact in

Papers in

University of California, San Francisco

224.8k papers receiving 13.9M citations

Peers

University of California, San Francisco
Comparison fields: 5 of 252
  • Developmental Neuroscience 131.4k
  • Molecular Biology 2.4M
  • Virology 157.7k
  • Oncology 667.9k
  • Genetics 251.2k
Replace Stanford Medicine with:
Stanford Medicine United States
University of California, Davis United States
University of California, Irvine United States
Oregon Health & Science University United States
University of Utah United States
Fred Hutch Cancer Center United States
University of California San Francisco Medical Center United States
Cedars-Sinai Medical Center United States
University of Calgary Canada
VA Palo Alto Health Care System United States
University of California, San Francisco relative to Stanford Medicine United States Stanford Medicine's profile →
Citations per field
00.5×2×3×4.4×
Stanford Medicine · 1×
Citations per year

Countries citing scholars working at University of California, San Francisco

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University of California, San Francisco. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at University of California, San Francisco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites University of California, San Francisco more than expected).

Fields of papers published by authors at University of California, San Francisco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of California, San Francisco at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with University of California, San Francisco at the time of their publication.

About University of California, San Francisco

In recent decades, authors affiliated with University of California, San Francisco have published 233.9k papers, which have received a total of 13.9M indexed citations . Scholars at this organization have produced 2.9k papers in Virology, 9.4k papers in Infectious Diseases, 16.8k papers in Public Health, Environmental and Occupational Health, 3.9k papers in Genetics and 7.9k papers in Psychiatry and Mental health on the topics of HIV/AIDS Research and Interventions (5.1k papers), Dementia and Cognitive Impairment Research (3.8k papers), HIV Research and Treatment (2.8k papers), Smoking Behavior and Cessation (2.6k papers), Innovations in Medical Education (2.5k papers), Glioma Diagnosis and Treatment (2.5k papers), T-cell and B-cell Immunology (2k papers) and Bone health and osteoporosis research (2k papers). Their work is cited by papers focused on Developmental Neuroscience (131.4k citations), Molecular Biology (2.4M citations), Virology (157.7k citations), Oncology (667.9k citations) and Genetics (251.2k citations). Authors at University of California, San Francisco collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE, Nature and Neurology. Some of University of California, San Francisco's most productive authors include Douglas Hanahan, Robert A. Weinberg, Zena Werb, Paul Ekman, Stanley B. Prusiner, Michael A. Matthay, Peter A. Kollman, Roger A. Nicoll, Lily Yeh Jan and Peter Walter.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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