Stanford University

18.2M citations
307.6k papers ·

Impact in

Papers in

Top scholars
Albert BanduraDavid L. DonohoKathleen M. EisenhardtJerome H. FriedmanJames J. GrossTrevor HastieStephen BoydRobert Tibshirani
Journals
Proceedings of the National Academy of Sciences (4.5k papers)Nature (2.0k papers)Science (2.0k papers)Physical Review Letters (2.0k papers)PLoS ONE (2.0k papers)
Partner nations
United StatesUnited KingdomGermany

In The Last Decade

Stanford University

288.8k papers receiving 17.8M citations

Peers

Stanford University
Comparison fields: 5 of 252
  • Molecular Biology 3.3M
  • Cognitive Neuroscience 877.5k
  • Cellular and Molecular Neuroscience 747.8k
  • Immunology 806.2k
  • Aging 61.1k
Replace University of California, Berkeley with:
University of California, Berkeley United States
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University of California, Davis United States
University of Southern California United States
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California Institute of Technology United States
University of British Columbia Canada
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Stanford University relative to University of California, Berkeley United States University of California, Berkeley's profile →
Citations per field
00.5×2×3.4×
University of California, Berkeley · 1×
Citations per year

Countries citing scholars working at Stanford University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Stanford University. 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 Stanford University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanford University more than expected).

Fields of papers published by authors at Stanford University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Stanford University 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 Stanford University at the time of their publication.

About Stanford University

In recent decades, authors affiliated with Stanford University have published 307.6k papers, which have received a total of 18.2M indexed citations . Scholars at this organization have produced 11.9k papers in Cognitive Neuroscience, 41.9k papers in Molecular Biology, 14.0k papers in Radiology, Nuclear Medicine and Imaging, 17.4k papers in Atomic and Molecular Physics, and Optics and 6.8k papers in Nuclear and High Energy Physics on the topics of RNA and protein synthesis mechanisms (3.3k papers), Immune Cell Function and Interaction (3.2k papers), T-cell and B-cell Immunology (3.1k papers), Semiconductor materials and devices (3.0k papers), Neuroscience and Neuropharmacology Research (3.0k papers), Photonic and Optical Devices (2.8k papers), Fluid Dynamics and Turbulent Flows (2.8k papers) and Advanced MRI Techniques and Applications (2.6k papers). Their work is cited by papers focused on Molecular Biology (3.3M citations), Cognitive Neuroscience (877.5k citations), Cellular and Molecular Neuroscience (747.8k citations), Immunology (806.2k citations) and Aging (61.1k citations). Authors at Stanford University collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nature, Science, Physical Review Letters and PLoS ONE. Some of Stanford University's most productive authors include Albert Bandura, David L. Donoho, Kathleen M. Eisenhardt, Jerome H. Friedman, James J. Gross, Trevor Hastie, Stephen Boyd, Robert Tibshirani, Yi Cui and Christopher D. Manning.

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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