MARCEL DANIEL PAYET

2.1k citations
54 papers · 1.9k · h-index 28

Impact in

Papers in

MARCEL DANIEL PAYET

53 papers receiving 1.9k citations

Peers

MARCEL DANIEL PAYET
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 680
  • Endocrinology, Diabetes and Metabolism 478
  • Cellular and Molecular Neuroscience 497
  • Sensory Systems 110
  • Behavioral Neuroscience 78
Replace Christoph Böhmer with:
Christoph Böhmer Germany
Erich F. Greiner Germany
Oleg G. Chepurny United States
Yves Audigier France
Masazumi Kamohara Japan
Francis Rioux Canada
Philip M. Swigart United States
Leslie A.C. Blair United States
Sundeep Malik United States
Gary L. Waldo United States
MARCEL DANIEL PAYET relative to Christoph Böhmer Germany Christoph Böhmer's profile →
Citations per field
00.5×2×3×4×4.6×
Christoph Böhmer · 1×
Citations per year

Countries citing papers authored by MARCEL DANIEL PAYET

Since Specialization
Citations

This map shows the geographic impact of MARCEL DANIEL 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 DANIEL 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 DANIEL PAYET more than expected).

Fields of papers citing papers by MARCEL DANIEL PAYET

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MARCEL DANIEL 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 DANIEL PAYET. The network helps show where MARCEL DANIEL PAYET may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996171
2 1992119
3 1995113
4 2003106
5 1999100
6 200386
7 199856
8 200255
9 201054
10 200353
11 200449
12 198747
13 200446
14 199744
15 200642
16 199842
17 200742
18 199742
19 199741
20 200339

About MARCEL DANIEL PAYET

MARCEL DANIEL PAYET is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Allergy and Physiology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (22 papers), Ion channel regulation and function (15 papers), Renin-Angiotensin System Studies (11 papers), Cell Adhesion Molecules Research (7 papers), Cellular transport and secretion (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (680 citations), Endocrinology, Diabetes and Metabolism (478 citations), Cellular and Molecular Neuroscience (497 citations), Sensory Systems (110 citations) and Behavioral Neuroscience (78 citations). MARCEL DANIEL 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 McCusky Gendron, Gilles Dupuis, Shirley L. Campbell, Bruno Buisson, Serge P. Bottari, Mélissa Otis and Lyne Bilodeau. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Journal of Leukocyte Biology, Endocrine Research and European Journal of Immunology.

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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