Séverine Leclerc

1.4k citations
22 papers · 665 · h-index 13

Impact in

Papers in

Séverine Leclerc

21 papers receiving 655 citations

Peers

Séverine Leclerc
Comparison fields: 5 of 83
  • Sensory Systems 81
  • Pharmaceutical Science 33
  • Cell Biology 85
  • Molecular Biology 334
  • Neurology 35
Replace Isabel Larré with:
Isabel Larré Mexico
Kathrin Barth Germany
Sylvain Ernest France
Yuki Miyasaka Japan
Mark Lal Sweden
Kimberly L. Quinlan United States
Hajime Ishida Japan
Sophie Bernichtein France
Cyril Castelbou Switzerland
Woon Kyu Lee South Korea
Séverine Leclerc relative to Isabel Larré Mexico Isabel Larré's profile →
Citations per field
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Citations per year

Countries citing papers authored by Séverine Leclerc

Since Specialization
Citations

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

Fields of papers citing papers by Séverine Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008153
2 200691
3 200279
4 202172
5 201648
6 200141
7 200240
8 201524
9 200522
10 202316
11 202314
12 199913
13 200013
14 201810
15 20176
16 20245
17 20245
18 20175
19 20244
20 20023

About Séverine Leclerc

Séverine Leclerc is a scholar working on Molecular Biology, Sensory Systems, Oncology, Pharmacology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 665 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Congenital heart defects research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Retinal Development and Disorders (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Sensory Systems (81 citations), Pharmaceutical Science (33 citations), Cell Biology (85 citations), Molecular Biology (334 citations) and Neurology (35 citations). Séverine Leclerc has collaborated with scholars based in Canada, France and Germany. Frequent co-authors include Grégor Andelfinger, Alain Minn, Jean‐Marie Heydel, Daniela Grădinaru, Elena Torban, Staci M. Rakowiecki, Philippe Gros, Susan A. Gauthier, Anne‐Marie Patenaude and Douglas J. Epstein. Their work appears in journals such as Journal of drug targeting, Canadian Journal of Cardiology, Developmental Cell, Nature Communications and Cell Reports.

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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