Eric S. Bennett

1.6k citations
45 papers · 1.3k · h-index 20

Impact in

Papers in

Eric S. Bennett

45 papers receiving 1.3k citations

Peers

Eric S. Bennett
Comparison fields: 5 of 96
  • Cellular and Molecular Neuroscience 362
  • Cardiology and Cardiovascular Medicine 419
  • Molecular Biology 1.0k
  • Sensory Systems 56
  • Cell Biology 92
Replace Dipayan Chaudhuri with:
Dipayan Chaudhuri United States
Craig A. Doupnik United States
David R.L. Scriven Canada
David Gómez‐Varela Germany
Éric Morel France
A. Thomsen United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric S. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric S. Bennett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric S. Bennett Line = papers co-authored together Eric S. Bennett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997140
2 200497
3 200993
4 200491
5 200272
6 201269
7 200661
8 200655
9 201251
10 201045
11 201339
12 201935
13 200734
14 201430
15 200929
16 199527
17 201323
18 202020
19 201619
20 201419

About Eric S. Bennett

Eric S. Bennett is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Oncology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (30 papers), Cardiac electrophysiology and arrhythmias (26 papers), Glycosylation and Glycoproteins Research (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Signaling Pathways in Disease (4 papers), Ion Transport and Channel Regulation (4 papers), Neuroscience and Neural Engineering (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (362 citations), Cardiology and Cardiovascular Medicine (419 citations), Molecular Biology (1.0k citations), Sensory Systems (56 citations) and Cell Biology (92 citations). Eric S. Bennett has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Andrew R. Ednie, Daniel J. Johnson, Tara A. Schwetz, Beth A. Smith, S. Rock Levinson, Sally S. Tinkle, George A. Kimmich, Hui Yang, Dongping Du and Jiashin Wu. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, IEEE Journal of Biomedical and Health Informatics, American Journal of Physiology-Cell Physiology and Journal of Molecular and Cellular Cardiology.

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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