Michel Dumont

495 citations
27 papers · 428 indexed · h-index 14
Topics
Neuropeptides and Animal Physiology (20 papers)Receptor Mechanisms and Signaling (11 papers)Pharmacological Receptor Mechanisms and Effects (7 papers)

In The Last Decade

Michel Dumont

27 papers receiving 421 citations

Peers

Michel Dumont
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 252
  • Molecular Biology 248
  • Physiology 118
  • Pathology and Forensic Medicine 35
  • Cardiology and Cardiovascular Medicine 31
Replace Kazuya Fujino with:
Kazuya Fujino Japan
Donald L. Campbell United States
A. Hodson United States
A. de Hemptinne Belgium
Tania Ferrer Mexico
Michael F. Hyek United States
Patricia L. Wisler United States
Melissa Cosenza United States
Rainer Hammermann Germany
Hilda J. Tracy United Kingdom
Michel Dumont relative to Kazuya Fujino Japan Kazuya Fujino's profile →
Citations per field
00.5×4.7×
Kazuya Fujino · 1×
Citations per year

Countries citing papers authored by Michel Dumont

Since Specialization
Citations

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

Fields of papers citing papers by Michel Dumont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Dumont

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Dumont. A scholar is included among the top collaborators of Michel Dumont 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 Michel Dumont. Michel Dumont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 39
2 3
3 7
4 6
5 9
6 21
7 4
8 7
9 5
10 24
11 18
12 2
13 25
14 38
15 33
16 5
17 18
18 9
19 4
20 17

About Michel Dumont

Michel Dumont is a scholar working on Cellular and Molecular Neuroscience, Microbiology and Molecular Biology, having authored 27 papers that have together received 428 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (20 papers), Receptor Mechanisms and Signaling (11 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (252 citations), Equine (10 citations) and Physiology (118 citations). Michel Dumont has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Simon Lemaire, Robert Day, Vijay K. Shukla, Léa Brakier‐Gingras, Mark Pinches, Kostas Papasouliotis, Michel Ouellette, Pierre Paradis, Pierre Bélichard and Jean‐Lucien Rouleau. Their work appears in journals such as Physical Review Letters, Physical Review A and Life Sciences.

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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