Jerome H. Chin

80 total papers · 2.4k total citations
46 papers, 1.0k citations indexed

About

Jerome H. Chin is a scholar working on Cellular and Molecular Neuroscience, Infectious Diseases and Economics and Econometrics. According to data from OpenAlex, Jerome H. Chin has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Infectious Diseases and 8 papers in Economics and Econometrics. Recurrent topics in Jerome H. Chin's work include Neurotransmitter Receptor Influence on Behavior (6 papers), HIV/AIDS Impact and Responses (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Jerome H. Chin is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), HIV/AIDS Impact and Responses (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Jerome H. Chin collaborates with scholars based in United States, Switzerland and Zambia. Jerome H. Chin's co-authors include Stephen K. Lwanga, Vanya Quiñones-Jenab, Shirzad Jenab, Linda I. Perrotti, Scott J. Russo, Hui Wu, Robert J. DeLorenzo, David Lu, Farrah J. Mateen and Stephen Mills and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Jerome H. Chin

46 papers receiving 925 citations

Author Peers

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

Author Last Decade Papers Cites
Jerome H. Chin 277 266 171 130 112 46 1.0k
Jonathan Ross 196 0.7× 259 1.0× 206 1.2× 90 0.7× 282 2.5× 47 1.0k
Mohammed Ayalew 90 0.3× 89 0.3× 113 0.7× 106 0.8× 191 1.7× 32 933
Carolyn J. Douglas 113 0.4× 88 0.3× 85 0.5× 112 0.9× 119 1.1× 22 888
Jag Khalsa 153 0.6× 171 0.6× 320 1.9× 91 0.7× 149 1.3× 63 1.0k
Susan Rogers 70 0.3× 233 0.9× 234 1.4× 98 0.8× 44 0.4× 37 1.1k
Jerzy Wasserman 71 0.3× 119 0.4× 139 0.8× 85 0.7× 117 1.0× 66 1.2k
Paul Wakim 67 0.2× 68 0.3× 335 2.0× 110 0.8× 115 1.0× 66 1.2k
Samuel D. Shillcutt 80 0.3× 89 0.3× 80 0.5× 106 0.8× 76 0.7× 43 1.2k
Dianne M. Rausch 123 0.4× 472 1.8× 224 1.3× 65 0.5× 218 1.9× 41 1.2k
E. Verbitskaya 177 0.6× 139 0.5× 353 2.1× 56 0.4× 61 0.5× 54 815

Countries citing papers authored by Jerome H. Chin

Since Specialization
Citations

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

Fields of papers citing papers by Jerome H. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerome H. Chin. 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 Jerome H. Chin. The network helps show where Jerome H. Chin may publish in the future.

Co-authorship network of co-authors of Jerome H. Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Jerome H. Chin. A scholar is included among the top collaborators of Jerome H. Chin 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 Jerome H. Chin. Jerome H. Chin 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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