J.M. Peyronnard

1.2k citations
31 papers · 1.1k · h-index 20

Impact in

Papers in

J.M. Peyronnard

30 papers receiving 972 citations

Peers

J.M. Peyronnard
Comparison fields: 5 of 79
  • Developmental Neuroscience 156
  • Cellular and Molecular Neuroscience 596
  • Neurology 210
  • Neurology 99
  • Physiology 275
Replace Louise Charron with:
Louise Charron Canada
Chu Cheng Canada
Jose A. Martinez Canada
M Jacquin United States
Toshiyuki Kumagai Japan
Suzanne M. de la Monte United States
Antony Horton United Kingdom
Laura Flores‐Sarnat Canada
Roberto Navarrete United Kingdom
David J. Eve United States
J.M. Peyronnard relative to Louise Charron Canada Louise Charron's profile →
Citations per field
00.5×1.5×
Louise Charron · 1×
Citations per year

Countries citing papers authored by J.M. Peyronnard

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Peyronnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Peyronnard. 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 J.M. Peyronnard. The network helps show where J.M. Peyronnard may publish in the future.

Co-authors

The 23 scholars most cited alongside J.M. Peyronnard, 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 J.M. Peyronnard Line = papers co-authored together J.M. Peyronnard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986122
2 197675
3 198273
4 197271
5 198665
6 197364
7 198256
8 197853
9 197646
10 197642
11 198042
12 198342
13 197937
14 198837
15 198828
16 197327
17 198626
18 198226
19 198324
20 198019

About J.M. Peyronnard

J.M. Peyronnard is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Molecular Biology and Physiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Pain Mechanisms and Treatments (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Peripheral Nerve Disorders (4 papers), Hereditary Neurological Disorders (3 papers), Enzyme function and inhibition (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Cellular and Molecular Neuroscience (596 citations), Neurology (210 citations), Neurology (99 citations) and Physiology (275 citations). J.M. Peyronnard has collaborated with scholars based in Canada and United States. Frequent co-authors include Louise Charron, Albert J. Aguayo, Garth M. Bray, Dan Boghen, L. Cass Terry, A. Barbeau, M.I. Botez, John S. Romine, F Beaudet and Jocelyne Bachevalier. Their work appears in journals such as Brain Research, Muscle & Nerve, Neurology, Experimental Brain Research and Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

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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