David Chatenet

2.2k citations
83 papers · 1.8k · h-index 26

Impact in

Papers in

    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 37
    • Apelin-related biomedical research 29

David Chatenet

79 papers receiving 1.8k citations

Peers

David Chatenet
Comparison fields: 5 of 84
  • Pharmacology 639
  • Endocrinology, Diabetes and Metabolism 461
  • Cellular and Molecular Neuroscience 462
  • Surgery 867
  • Cardiology and Cardiovascular Medicine 330
Replace Tsukasa Sugo with:
Tsukasa Sugo Japan
Martin Beinborn United States
Balázs Szőke United States
Sanne Møller Knudsen Denmark
Hideki Hiyama Japan
André Vandermeers Belgium
Luı́s M. Rosário Portugal
Ian M. Dickerson United States
Andrea S. Heimann Brazil
Anikó Váradi United Kingdom
David Chatenet relative to Tsukasa Sugo Japan Tsukasa Sugo's profile →
Citations per field
00.5×4.3×
Tsukasa Sugo · 1×
Citations per year

Countries citing papers authored by David Chatenet

Since Specialization
Citations

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

Fields of papers citing papers by David Chatenet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Chatenet. 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 David Chatenet. The network helps show where David Chatenet may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chatenet, 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 David Chatenet Line = papers co-authored together David Chatenet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200487
2 201084
3 201479
4 200371
5 200670
6 200769
7 201956
8 200656
9 201048
10 200648
11 200547
12 201746
13 200445
14 201545
15 201342
16 200742
17 201341
18 201036
19 200434
20 201134

About David Chatenet

David Chatenet is a scholar working on Surgery, Pharmacology, Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular, Neuropeptides, and Oxidative Stress Research (37 papers), Apelin-related biomedical research (29 papers), Neuropeptides and Animal Physiology (25 papers), Hormonal Regulation and Hypertension (21 papers), Peptidase Inhibition and Analysis (10 papers), Cardiovascular Disease and Adiposity (9 papers), Galectins and Cancer Biology (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Pharmacology (639 citations), Endocrinology, Diabetes and Metabolism (461 citations), Cellular and Molecular Neuroscience (462 citations), Surgery (867 citations) and Cardiology and Cardiovascular Medicine (330 citations). David Chatenet has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Alain Fournier, Jérôme Leprince, Myriam Létourneau, Hubert Vaudry, David Vaudry, Hubert Vaudry, Elizabeth Scalbert, Christophe Dubessy, Hervé Tostivint and Terence E. Hébert. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology, Peptides, Journal of Neurochemistry and PLoS ONE.

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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