Jean C. Hardwick

50 total papers · 1.0k total citations
42 papers, 842 citations indexed

About

Jean C. Hardwick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jean C. Hardwick has authored 42 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 29 papers in Cellular and Molecular Neuroscience and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jean C. Hardwick's work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (18 papers) and Ion channel regulation and function (13 papers). Jean C. Hardwick is often cited by papers focused on Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (18 papers) and Ion channel regulation and function (13 papers). Jean C. Hardwick collaborates with scholars based in United States. Jean C. Hardwick's co-authors include Rodney L. Parsons, Gary M. Mawe, Víctor May, Jeffrey L. Ardell, E. Marie Southerland, Karen M. Braas, Laura A. Merriam, Beatrice M. Girard, Michael Kerchner and Éric Beaumont and has published in prestigious journals such as Journal of Neuroscience, Journal of the American College of Cardiology and The Journal of Physiology.

In The Last Decade

Jean C. Hardwick

41 papers receiving 832 citations

Author Peers

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

Author Last Decade Papers Cites
Jean C. Hardwick 480 467 238 125 106 42 842
John D. Tompkins 369 0.8× 397 0.9× 190 0.8× 76 0.6× 61 0.6× 34 795
Jon M. Walro 428 0.9× 383 0.8× 105 0.4× 62 0.5× 85 0.8× 38 800
Shao-Nian Yang 518 1.1× 371 0.8× 73 0.3× 122 1.0× 217 2.0× 29 828
Kenjiro Seki 218 0.5× 172 0.4× 135 0.6× 173 1.4× 108 1.0× 32 991
Najate Benamer 243 0.5× 315 0.7× 352 1.5× 65 0.5× 79 0.7× 16 829
Tatsuya Umeda 297 0.6× 205 0.4× 65 0.3× 85 0.7× 170 1.6× 32 739
V. I. Skok 520 1.1× 692 1.5× 132 0.6× 36 0.3× 73 0.7× 71 993
Adolfo E. Cuadra 190 0.4× 517 1.1× 313 1.3× 102 0.8× 42 0.4× 26 883
Terence H. Williams 348 0.7× 274 0.6× 58 0.2× 92 0.7× 59 0.6× 36 727
Ling Gong 258 0.5× 266 0.6× 103 0.4× 49 0.4× 295 2.8× 52 843

Countries citing papers authored by Jean C. Hardwick

Since Specialization
Citations

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

Fields of papers citing papers by Jean C. Hardwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean C. Hardwick. 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 Jean C. Hardwick. The network helps show where Jean C. Hardwick may publish in the future.

Co-authorship network of co-authors of Jean C. Hardwick

This figure shows the co-authorship network connecting the top 25 collaborators of Jean C. Hardwick. A scholar is included among the top collaborators of Jean C. Hardwick 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 Jean C. Hardwick. Jean C. Hardwick 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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