Rutgers, The State University of New Jersey
Impact in
- Molecular Biology top 0.2%
- RNA and protein synthesis mechanisms
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
- Molecular Biology 22.5k
- RNA and protein synthesis mechanisms 1.9k
- Top scholars
- Helen Miriam BermanGyörgy BuzsákiDavid VanderbiltEduardo D. SontagPeter E. SmouseNeil D. WeinsteinRod PeakallManish Chhowalla
- Journals
- Physical Review Letters (1.1k papers)Journal of Biological Chemistry (1.1k papers)Proceedings of the National Academy of Sciences (1.0k papers)PLoS ONE (901 papers)Scientific Reports (576 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Rutgers, The State University of New Jersey
151.7k papers receiving 6.2M citations
Peers
Comparison fields: 5 of 252
- Molecular Biology 1.1M
- Cognitive Neuroscience 283.6k
- Cellular and Molecular Neuroscience 241.7k
- Aging 23.5k
- Condensed Matter Physics 151.2k
Countries citing scholars working at Rutgers, The State University of New Jersey
This map shows the geographic impact of research produced by authors working at Rutgers, The State University of New Jersey. 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 Rutgers, The State University of New Jersey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rutgers, The State University of New Jersey more than expected).
Fields of papers published by authors at Rutgers, The State University of New Jersey
This network shows the impact of papers affiliated with Rutgers, The State University of New Jersey 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 Rutgers, The State University of New Jersey at the time of their publication.
About Rutgers, The State University of New Jersey
In recent decades, authors affiliated with Rutgers, The State University of New Jersey have published 170.0k papers, which have received a total of 6.7M indexed citations . Scholars at this organization have produced 3.1k papers in Geometry and Topology, 22.5k papers in Molecular Biology, 1.0k papers in Discrete Mathematics and Combinatorics, 3.4k papers in Condensed Matter Physics and 5.5k papers in Cognitive Neuroscience on the topics of RNA and protein synthesis mechanisms (1.9k papers), Neuroscience and Neuropharmacology Research (1.8k papers), Physics of Superconductivity and Magnetism (1.5k papers), Geology and Paleoclimatology Research (1.2k papers), Advanced Condensed Matter Physics (1.2k papers), Child and Adolescent Psychosocial and Emotional Development (1.2k papers), Neural dynamics and brain function (1.1k papers) and Neuroendocrine regulation and behavior (1.1k papers). Their work is cited by papers focused on Molecular Biology (1.1M citations), Cognitive Neuroscience (283.6k citations), Cellular and Molecular Neuroscience (241.7k citations), Aging (23.5k citations) and Condensed Matter Physics (151.2k citations). Authors at Rutgers, The State University of New Jersey collaborate with scholars in United States, China and Netherlands and have published in prestigious journals including Physical Review Letters, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports. Some of Rutgers, The State University of New Jersey's most productive authors include Helen Miriam Berman, György Buzsáki, David Vanderbilt, Eduardo D. Sontag, Peter E. Smouse, Neil D. Weinstein, Rod Peakall, Manish Chhowalla, Chi‐Tang Ho and Fariborz Damanpour.
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.