Jay P. Parrish

41 total papers · 1.4k total citations
23 papers, 775 citations indexed

About

Jay P. Parrish is a scholar working on Organic Chemistry, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Jay P. Parrish has authored 23 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 13 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Jay P. Parrish's work include HIV/AIDS drug development and treatment (8 papers), Cancer therapeutics and mechanisms (6 papers) and Synthesis and Biological Evaluation (5 papers). Jay P. Parrish is often cited by papers focused on HIV/AIDS drug development and treatment (8 papers), Cancer therapeutics and mechanisms (6 papers) and Synthesis and Biological Evaluation (5 papers). Jay P. Parrish collaborates with scholars based in United States. Jay P. Parrish's co-authors include Kyung Woon Jung, Ralph Nicholas Salvatore, Dale L. Boger, Young Chun Jung, David B. Kastrinsky, Inkyu Hwang, Yasuhiro Igarashi, S. E. Wolkenberg, Terry V. Hughes and Thorsten Kirschberg and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Organic Chemistry and Tetrahedron.

In The Last Decade

Jay P. Parrish

22 papers receiving 761 citations

Author Peers

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

Author Last Decade Papers Cites
Jay P. Parrish 515 260 129 118 82 23 775
Richard Angell 292 0.6× 400 1.5× 79 0.6× 84 0.7× 63 0.8× 31 854
Joseph E. Sundeen 402 0.8× 224 0.9× 110 0.9× 111 0.9× 158 1.9× 31 724
Anthony R. Haight 693 1.3× 223 0.9× 29 0.2× 45 0.4× 134 1.6× 33 831
Charles M. Zepp 542 1.1× 183 0.7× 63 0.5× 68 0.6× 311 3.8× 11 902
Zbigniew Ochal 491 1.0× 108 0.4× 57 0.4× 93 0.8× 208 2.5× 57 729
Michael A. Stier 378 0.7× 377 1.4× 23 0.2× 50 0.4× 50 0.6× 37 719
Xiao Jia 736 1.4× 192 0.7× 21 0.2× 65 0.6× 135 1.6× 28 894
Sara Pékerar 164 0.3× 274 1.1× 31 0.2× 20 0.2× 77 0.9× 18 620
Tomoyuki Onishi 418 0.8× 212 0.8× 14 0.1× 50 0.4× 94 1.1× 38 623
Nisha Mittal 602 1.2× 210 0.8× 14 0.1× 52 0.4× 220 2.7× 21 775

Countries citing papers authored by Jay P. Parrish

Since Specialization
Citations

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

Fields of papers citing papers by Jay P. Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay P. Parrish. 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 Jay P. Parrish. The network helps show where Jay P. Parrish may publish in the future.

Co-authorship network of co-authors of Jay P. Parrish

This figure shows the co-authorship network connecting the top 25 collaborators of Jay P. Parrish. A scholar is included among the top collaborators of Jay P. Parrish 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 Jay P. Parrish. Jay P. Parrish 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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