SUNY Old Westbury

951 papers and 18.4k indexed citations i.

About

In recent decades, authors affiliated with SUNY Old Westbury have published 951 papers, which have received a total of 18.4k indexed citations. Scholars at this organization have produced 192 papers in Cellular and Molecular Neuroscience, 140 papers in Molecular Biology and 108 papers in Sociology and Political Science on the topics of Neuropeptides and Animal Physiology (134 papers), Receptor Mechanisms and Signaling (49 papers) and Neuroendocrine regulation and behavior (41 papers). Their work is cited by papers focused on Cellular and Molecular Neuroscience (4.4k citations), Molecular Biology (3.3k citations) and Physiology (2.3k citations). Authors at SUNY Old Westbury collaborate with scholars in United States, France and Italy and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of SUNY Old Westbury's most productive authors include George B. Stefano, Thomas V. Bilfinger, Patrick Cadet, Michel Salzet, Berta Scharrer, Harcharan Singh Ranu, Doocheol Moon, Aloke Ghosh, Richard M. Kream and Kirk J. Mantione.

In The Last Decade

Fields of papers published by authors at SUNY Old Westbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with SUNY Old Westbury 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 SUNY Old Westbury at the time of their publication.

Countries citing scholars working at SUNY Old Westbury

Since Specialization
Citations

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

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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