Queens College, CUNY

8.9k papers and 223.2k indexed citations i.

About

In recent decades, authors affiliated with Queens College, CUNY have published 8.9k papers, which have received a total of 223.2k indexed citations. Scholars at this organization have produced 914 papers in Molecular Biology, 823 papers in Cognitive Neuroscience and 756 papers in Sociology and Political Science on the topics of Behavioral and Psychological Studies (298 papers), Autism Spectrum Disorder Research (229 papers) and Neuropeptides and Animal Physiology (185 papers). Their work is cited by papers focused on Molecular Biology (29.6k citations), Cognitive Neuroscience (28.1k citations) and Atomic and Molecular Physics, and Optics (17.6k citations). Authors at Queens College, CUNY collaborate with scholars in United States, United Kingdom and Germany and have published in prestigious journals including Nature, Science and Proceedings of the National Academy of Sciences. Some of Queens College, CUNY's most productive authors include Ashima K. Kant, Richard J. Bodnar, Robert Bittman, Michael V. Mirkin, Azriel Z. Genack, Aristid Lindenmayer, Peter Sturmey, Andrea Alù, Zahra Zakeri and Joan C. Borod.

In The Last Decade

Fields of papers published by authors at Queens College, CUNY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Queens College, CUNY 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 Queens College, CUNY at the time of their publication.

Countries citing scholars working at Queens College, CUNY

Since Specialization
Citations

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