James J. Schupsky

16 total papers · 1.1k total citations
14 papers, 939 citations indexed

About

James J. Schupsky is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, James J. Schupsky has authored 14 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in James J. Schupsky's work include Pain Mechanisms and Treatments (8 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). James J. Schupsky is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Pharmacological Receptor Mechanisms and Effects (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). James J. Schupsky collaborates with scholars based in United States. James J. Schupsky's co-authors include Richard P. Shank, Robert B. Raffa, E E Codd, Bruce E. Maryanoff, Jeffry L. Vaught, Samuel Nortey, Henry I. Jacoby, Joseph F. Gardocki, Robert B. Raffa and Susanna J. Dodgson and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and International Journal of Pharmaceutics.

In The Last Decade

James J. Schupsky

14 papers receiving 903 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James J. Schupsky 321 302 282 258 202 14 939
Richard J. Thurlow 525 1.6× 512 1.7× 215 0.8× 502 1.9× 136 0.7× 9 1.2k
Mark G. Vartanian 520 1.6× 516 1.7× 253 0.9× 252 1.0× 170 0.8× 30 1.2k
K. Alexander 237 0.7× 396 1.3× 153 0.5× 129 0.5× 127 0.6× 25 1.2k
Mark L. Weber 514 1.6× 558 1.8× 105 0.4× 240 0.9× 87 0.4× 30 1.2k
Timothy Angelotti 449 1.4× 509 1.7× 144 0.5× 236 0.9× 72 0.4× 34 1.1k
Wolfgang Meder 359 1.1× 294 1.0× 225 0.8× 308 1.2× 117 0.6× 9 827
Artur W. Wamil 429 1.3× 245 0.8× 500 1.8× 140 0.5× 253 1.3× 24 1.0k
Edward T. Hellriegel 125 0.4× 191 0.6× 149 0.5× 148 0.6× 125 0.6× 48 1.1k
A A Miller 549 1.7× 216 0.7× 698 2.5× 83 0.3× 523 2.6× 25 1.1k
Susan A. Borosky 551 1.7× 478 1.6× 125 0.4× 258 1.0× 48 0.2× 16 987

Countries citing papers authored by James J. Schupsky

Since Specialization
Citations

This map shows the geographic impact of James J. Schupsky's research. 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 James J. Schupsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Schupsky more than expected).

Fields of papers citing papers by James J. Schupsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Schupsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James J. Schupsky. The network helps show where James J. Schupsky may publish in the future.

Co-authorship network of co-authors of James J. Schupsky

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Schupsky. A scholar is included among the top collaborators of James J. Schupsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James J. Schupsky. James J. Schupsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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