Marcel D. Payet

2.1k citations
51 papers · 1.8k · h-index 28

Impact in

Papers in

Marcel D. Payet

51 papers receiving 1.8k citations

Peers

Marcel D. Payet
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 480
  • Cardiology and Cardiovascular Medicine 642
  • Cellular and Molecular Neuroscience 489
  • Sensory Systems 107
  • Behavioral Neuroscience 77
Replace Jens Furkert with:
Jens Furkert Germany
Erich F. Greiner Germany
Natalia A. Tamarina United States
Masazumi Kamohara Japan
Yves Audigier France
Tilman Breiderhoff Germany
Xiao-ding Peng United States
Leslie A.C. Blair United States
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Citations per field
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Citations per year

Countries citing papers authored by Marcel D. Payet

Since Specialization
Citations

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

Fields of papers citing papers by Marcel D. Payet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel D. Payet. 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 Marcel D. Payet. The network helps show where Marcel D. Payet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996161
2 1992109
3 1995104
4 2003104
5 199990
6 200381
7 200253
8 199851
9 200351
10 201051
11 200447
12 198747
13 200446
14 200643
15 199742
16 199842
17 199741
18 199740
19 200739
20 199738

About Marcel D. Payet

Marcel D. Payet is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Immunology and Allergy and Immunology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Ion channel regulation and function (14 papers), Renin-Angiotensin System Studies (11 papers), Cell Adhesion Molecules Research (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (480 citations), Cardiology and Cardiovascular Medicine (642 citations), Cellular and Molecular Neuroscience (489 citations), Sensory Systems (107 citations) and Behavioral Neuroscience (77 citations). Marcel D. Payet has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Nicole Gallo‐Payet, Liette Laflamme, Marc de Gasparo, Louis Gendron, Gilles Dupuis, Shirley Campbell, Serge P. Bottari, Bruno Buisson, Mélissa Otis and Lyne Bilodeau. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Journal of Leukocyte Biology, Endocrine Research and FEBS Letters.

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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