University of Southern California

7.8M citations
186.4k papers ·

Impact in

Papers in

University of Southern California

164.3k papers receiving 7.0M citations

Peers

University of Southern California
Comparison fields: 5 of 252
  • Molecular Biology 1.1M
  • Aging 27.2k
  • Cognitive Neuroscience 270.0k
  • Cancer Research 186.6k
  • Oncology 336.8k
Replace University of California, Irvine with:
University of California, Irvine United States
University of California, Los Angeles United States
University of California San Diego United States
University of California, Davis United States
University of California, Berkeley United States
Stanford Medicine United States
Stanford University United States
University of Arizona United States
University of Utah United States
University of California, Riverside United States
University of Southern California relative to University of California, Irvine United States University of California, Irvine's profile →
Citations per field
00.5×1.5×2×2.3×
University of California, Irvine · 1×
Citations per year

Countries citing scholars working at University of Southern California

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at University of Southern California. 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 Southern California 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 Southern California more than expected).

Fields of papers published by authors at University of Southern California

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About University of Southern California

In recent decades, authors affiliated with University of Southern California have published 186.4k papers, which have received a total of 7.8M indexed citations . Scholars at this organization have produced 6.5k papers in Cognitive Neuroscience, 2.3k papers in Hardware and Architecture, 10.7k papers in Artificial Intelligence, 12.0k papers in Surgery and 7.3k papers in Computer Networks and Communications on the topics of Photonic and Optical Devices (1.6k papers), earthquake and tectonic studies (1.5k papers), Advanced Chemical Physics Studies (1.3k papers), Neural dynamics and brain function (1.3k papers), Neuroscience and Neuropharmacology Research (1.2k papers), Air Quality and Health Impacts (1.2k papers), Parallel Computing and Optimization Techniques (1.2k papers) and Child and Adolescent Psychosocial and Emotional Development (1.2k papers). Their work is cited by papers focused on Molecular Biology (1.1M citations), Aging (27.2k citations), Cognitive Neuroscience (270.0k citations), Cancer Research (186.6k citations) and Oncology (336.8k citations). Authors at University of Southern California collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including PLoS ONE, Proceedings of the National Academy of Sciences, Pacific Journal of Mathematics, Journal of Biological Chemistry and American Journal of Obstetrics and Gynecology. Some of University of Southern California's most productive authors include Terence G. Langdon, Peter Anthony Jones, Jerry M. Mendel, Richard Bellman, Kelvin J.A. Davies, Arieh Warshel, Mark E. Thompson, Pétros Ioannou, Jed A. Fuhrman and George Andrew Olah.

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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