Catherine S. Chew

47 total papers · 1.3k total citations
28 papers, 1.1k citations indexed

About

Catherine S. Chew is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Catherine S. Chew has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Surgery. Recurrent topics in Catherine S. Chew's work include Ion Transport and Channel Regulation (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cell Adhesion Molecules Research (6 papers). Catherine S. Chew is often cited by papers focused on Ion Transport and Channel Regulation (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cell Adhesion Molecules Research (6 papers). Catherine S. Chew collaborates with scholars based in United States, China and Sweden. Catherine S. Chew's co-authors include Milton R. Brown, Xunsheng Chen, John A. Parente, Curtis T. Okamoto, James R. Goldenring, Renu Jain, Linda C. Samuelson, Lynne A. Lapierre, Benjamin C. Calhoun and Cynthia S. Brunkan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Catherine S. Chew

28 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Catherine S. Chew 691 258 216 137 127 28 1.1k
Peggy R. Girard 541 0.8× 259 1.0× 123 0.6× 94 0.7× 115 0.9× 24 1.1k
Daniel D. Kaplan 685 1.0× 262 1.0× 136 0.6× 105 0.8× 110 0.9× 19 1.2k
Victoria P. Knutson 709 1.0× 160 0.6× 268 1.2× 79 0.6× 79 0.6× 24 1.1k
Jinjiang Pang 562 0.8× 115 0.4× 103 0.5× 89 0.6× 85 0.7× 37 1.0k
Yoshio Yazaki 483 0.7× 139 0.5× 125 0.6× 84 0.6× 51 0.4× 26 912
Mauricio Di Fulvio 714 1.0× 150 0.6× 118 0.5× 86 0.6× 175 1.4× 46 1.1k
Aida M. Mamarbachi 683 1.0× 263 1.0× 112 0.5× 66 0.5× 229 1.8× 25 1.1k
Sandra Meulemans 470 0.7× 267 1.0× 111 0.5× 119 0.9× 94 0.7× 29 1.0k
Marcel Vergés 663 1.0× 465 1.8× 136 0.6× 75 0.5× 104 0.8× 27 1.0k
Hideaki Tamaki 447 0.6× 273 1.1× 163 0.8× 138 1.0× 113 0.9× 44 907

Countries citing papers authored by Catherine S. Chew

Since Specialization
Citations

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

Fields of papers citing papers by Catherine S. Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine S. Chew. 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 Catherine S. Chew. The network helps show where Catherine S. Chew may publish in the future.

Co-authorship network of co-authors of Catherine S. Chew

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine S. Chew. A scholar is included among the top collaborators of Catherine S. Chew 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 Catherine S. Chew. Catherine S. Chew 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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2026