Jean‐Michel Vernier

1.5k citations
29 papers · 869 indexed · h-index 17
Topics
Neuroscience and Neuropharmacology Research (15 papers)Receptor Mechanisms and Signaling (12 papers)Nicotinic Acetylcholine Receptors Study (6 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

Jean‐Michel Vernier

29 papers receiving 834 citations

Peers

Jean‐Michel Vernier
Comparison fields: 5 of 67
  • Molecular Biology 598
  • Cellular and Molecular Neuroscience 440
  • Organic Chemistry 201
  • Pharmacology 71
  • Oncology 67
Replace Gunnar Nordvall with:
Gunnar Nordvall Sweden
Patrice Talaga Belgium
Filomena Mattner Australia
Andrew S. Felts United States
Daniele Pala Italy
Philip A. S. Lowden United Kingdom
Andrew D. Gribble United Kingdom
Ruth E. TenBrink United States
Brian J. Lavey United States
François Bischoff Belgium
Jean‐Michel Vernier relative to Gunnar Nordvall Sweden Gunnar Nordvall's profile →
Citations per field
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Gunnar Nordvall · 1×
Citations per year

Countries citing papers authored by Jean‐Michel Vernier

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Michel Vernier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Michel Vernier

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Michel Vernier. A scholar is included among the top collaborators of Jean‐Michel Vernier 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 Jean‐Michel Vernier. Jean‐Michel Vernier 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 22
2 153
3
RDEA119: A potent and highly selective MEK inhibitor for the treatment of cancer
3
4 26
5 35
6 36
7 18
8 7
9 23
10 25
11 14
12 12
13 7
14 78
15 137
16 24
17 14
18 20
19 34
20 16

About Jean‐Michel Vernier

Jean‐Michel Vernier is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Molecular Biology, having authored 29 papers that have together received 869 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Receptor Mechanisms and Signaling (12 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (440 citations), Biological Psychiatry (35 citations) and Molecular Biology (598 citations). Jean‐Michel Vernier has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Blake A. Rowe, Hervé Schaffhauser, Anthony B. Pinkerton, Lorrie P. Daggett, Linda J. Bristow, John H. Hutchinson, Michael F. Gardner, Mark A. Varney, Laura E. Chavez-Noriega and Una C. Campbell. Their work appears in journals such as Cancer Research, Brain Research and Journal of Medicinal Chemistry.

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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