Stéphane Martin

3.0k citations
51 papers · 2.3k · h-index 28

Impact in

Papers in

Stéphane Martin

50 papers receiving 2.3k citations

Peers

Stéphane Martin
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 895
  • Behavioral Neuroscience 110
  • Molecular Biology 1.5k
  • Cell Biology 359
  • Biological Psychiatry 34
Replace Vanja Nagy with:
Vanja Nagy Austria
Shaun P. Brothers United States
Karin Richter Germany
M. Marcinkiewicz Canada
Yun-Fei Lu Japan
Sayaka Takemoto‐Kimura Japan
Edward C. Stack United States
Stéphane Martin relative to Vanja Nagy Austria Vanja Nagy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stéphane Martin

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007230
2 2008178
3 2007169
4 2005134
5 2003119
6 2006102
7 2002102
8 2009100
9 200486
10 200485
11 199957
12 200453
13 201853
14 200553
15 201653
16 201250
17 201246
18 200545
19 200144
20 200439

About Stéphane Martin

Stéphane Martin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Oncology and Cell Biology, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Ubiquitin and proteasome pathways (14 papers), Neuropeptides and Animal Physiology (13 papers), Genetics and Neurodevelopmental Disorders (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Peptidase Inhibition and Analysis (6 papers), Computational Drug Discovery Methods (4 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (895 citations), Behavioral Neuroscience (110 citations), Molecular Biology (1.5k citations), Cell Biology (359 citations) and Biological Psychiatry (34 citations). Stéphane Martin has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Jeremy M. Henley, Jean Mazella, Atsushi Nishimune, Tristan Bouschet, Jack R. Mellor, Emma Jenkins, Jean‐Pierre Vincent, Daniel L. Rocca, Jonathan G. Hanley and Kevin A. Wilkinson. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Journal of Cell Science, Cellular and Molecular Life Sciences and Nature Communications.

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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