University of California, Irvine
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuroscience and Neuropharmacology Research
- Behavioral Neuroscience top 0.1%
- Stress Responses and Cortisol
Papers in
-
- Neuroscience and Neuropharmacology Research 3.3k
-
- Neural dynamics and brain function 1.5k
- Memory and Neural Mechanisms 1.4k
- Top scholars
- Carl W. CotmanJames Lafayette McGaughSteven R. WhiteGARY S. LYNCHPierre BaldiMark E. J. NewmanFrank M. LaFerlaNosratola D. Vaziri
- Journals
- Proceedings of the National Academy of Sciences (1.3k papers)PLoS ONE (783 papers)Journal of Biological Chemistry (746 papers)Journal of the American Chemical Society (639 papers)Brain Research (590 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
University of California, Irvine
112.9k papers receiving 5.1M citations
Peers
Comparison fields: 5 of 252
- Cellular and Molecular Neuroscience 392.7k
- Behavioral Neuroscience 60.0k
- Developmental Neuroscience 66.5k
- Cognitive Neuroscience 330.0k
- Biological Psychiatry 31.6k
Countries citing scholars working at University of California, Irvine
This map shows the geographic impact of research produced by authors working at University of California, Irvine. 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, Irvine 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, Irvine more than expected).
Fields of papers published by authors at University of California, Irvine
This network shows the impact of papers affiliated with University of California, Irvine 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, Irvine at the time of their publication.
About University of California, Irvine
In recent decades, authors affiliated with University of California, Irvine have published 126.2k papers, which have received a total of 5.5M indexed citations . Scholars at this organization have produced 6.9k papers in Cellular and Molecular Neuroscience, 6.2k papers in Cognitive Neuroscience, 2.2k papers in Hardware and Architecture, 987 papers in Developmental Neuroscience and 842 papers in Behavioral Neuroscience on the topics of Neuroscience and Neuropharmacology Research (3.3k papers), Atmospheric chemistry and aerosols (1.9k papers), Neural dynamics and brain function (1.5k papers), Parallel Computing and Optimization Techniques (1.5k papers), Memory and Neural Mechanisms (1.4k papers), Atmospheric Ozone and Climate (1.2k papers), Alzheimer's disease research and treatments (1.1k papers) and Spectroscopy and Quantum Chemical Studies (1.1k papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (392.7k citations), Behavioral Neuroscience (60.0k citations), Developmental Neuroscience (66.5k citations), Cognitive Neuroscience (330.0k citations) and Biological Psychiatry (31.6k citations). Authors at University of California, Irvine collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Proceedings of the National Academy of Sciences, PLoS ONE, Journal of Biological Chemistry, Journal of the American Chemical Society and Brain Research. Some of University of California, Irvine's most productive authors include Carl W. Cotman, James Lafayette McGaugh, Steven R. White, GARY S. LYNCH, Pierre Baldi, Mark E. J. Newman, Frank M. LaFerla, Nosratola D. Vaziri, Gregory S. Hickok and Kathleen K. Treseder.
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.