University of California, San Francisco

10.8M citations
194.0k papers ·

Impact in

  • Aging top 0.01%
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Receptor Mechanisms and Signaling

Papers in

University of California, San Francisco

167.8k papers receiving 9.5M citations

Peers

University of California, San Francisco
Comparison fields: 5 of 252
  • Aging 79.9k
  • Molecular Biology 3.1M
  • Developmental Neuroscience 151.4k
  • Cellular and Molecular Neuroscience 695.1k
  • Immunology 762.1k
Replace University of California, Irvine with:
University of California, Irvine United States
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Oregon Health & Science University United States
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Mayo Clinic in Arizona United States
University of California, Riverside United States
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University of California, San Francisco relative to University of California, Irvine United States University of California, Irvine's profile →
Citations per field
00.5×5.9×
University of California, Irvine · 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 194.0k papers, which have received a total of 10.8M indexed citations . Scholars at this organization have produced 2.8k papers in Virology, 16.7k papers in Epidemiology, 36.5k papers in Molecular Biology, 9.1k papers in Infectious Diseases and 12.7k papers in Oncology on the topics of HIV/AIDS Research and Interventions (4.0k papers), Neuroscience and Neuropharmacology Research (3.0k papers), Immune Cell Function and Interaction (2.7k papers), HIV Research and Treatment (2.6k papers), T-cell and B-cell Immunology (2.2k papers), RNA and protein synthesis mechanisms (2.1k papers), Receptor Mechanisms and Signaling (2.1k papers) and Advanced MRI Techniques and Applications (2.0k papers). Their work is cited by papers focused on Aging (79.9k citations), Molecular Biology (3.1M citations), Developmental Neuroscience (151.4k citations), Cellular and Molecular Neuroscience (695.1k citations) and Immunology (762.1k citations). Authors at University of California, San Francisco collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE, Journal of Clinical Oncology and Nature. Some of University of California, San Francisco's most productive authors include Douglas Hanahan, Robert A. Weinberg, Zena Werb, Peter A. Kollman, Stanley B. Prusiner, Roger A. Nicoll, Michael A. Matthay, Elizabeth H. Blackburn, Lewis L. Lanier and Marc W. Kirschner.

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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