J.M. Peyronnard

1.2k citations
29 papers · 1.0k indexed · h-index 20
Topics
Nerve injury and regeneration (10 papers)Pain Mechanisms and Treatments (5 papers)Neurogenesis and neuroplasticity mechanisms (5 papers)
Partner nations
CanadaUnited States

In The Last Decade

J.M. Peyronnard

29 papers receiving 941 citations

Peers

J.M. Peyronnard
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 572
  • Physiology 267
  • Molecular Biology 265
  • Neurology 206
  • Developmental Neuroscience 156
Replace Louise Charron with:
Louise Charron Canada
D. G. F. Harriman United Kingdom
Jose A. Martinez Canada
M Jacquin United States
Antony Horton United Kingdom
Karin Pernold Sweden
Roberto Navarrete United Kingdom
Kunihiko Ikeguchi Japan
Thomas Pk United Kingdom
Daniela M. Menichella 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-authorship network of co-authors of J.M. Peyronnard

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Peyronnard. A scholar is included among the top collaborators of J.M. Peyronnard 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 J.M. Peyronnard. J.M. Peyronnard 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 9
2 18
3 14
4 35
5 28
6 3
7 119
8 25
9 3
10 24
11 72
12 26
13 7
14 19
15 7
16 51
17 11
18 15
19 27
20 70

About J.M. Peyronnard

J.M. Peyronnard is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Pain Mechanisms and Treatments (5 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Cellular and Molecular Neuroscience (572 citations) and Neurology (206 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, Jocelyne Bachevalier and F Beaudet. Their work appears in journals such as Neurology, Diabetes Care and Annals of Neurology.

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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