Catherine Vidal

3.1k citations
58 papers · 2.7k · h-index 28

Impact in

Papers in

Catherine Vidal

53 papers receiving 2.6k citations

Peers

Catherine Vidal
Comparison fields: 5 of 139
  • Behavioral Neuroscience 317
  • Cellular and Molecular Neuroscience 1.1k
  • Cognitive Neuroscience 614
  • Neurology 204
  • Molecular Biology 1.4k
Replace Eric S. Levine with:
Eric S. Levine United States
Bernd Heimrich Germany
Klaus Fabel Germany
Akiyoshi Moriwaki Japan
Stine Söderström Sweden
Mary Lou Voytko United States
H. Akaoka France
Sheng‐Tian Li China
Thomas J. McCown United States
Rudi D’Hooge Belgium
Catherine Vidal relative to Eric S. Levine United States Eric S. Levine's profile →
Citations per field
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Eric S. Levine · 1×
Citations per year

Countries citing papers authored by Catherine Vidal

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993215
2 2007203
3 1994188
4 1991184
5 1994177
6 1999170
7 2002136
8 1995130
9 1986114
10 1996109
11 198970
12 197861
13 197954
14 198451
15 198251
16
Flow cytometry detection of platelet procoagulation activity and microparticles in patients with unstable angina treated by percutaneous coronary angioplasty and stent implantation.
200150
17 198049
18 200448
19 198648
20 199445

About Catherine Vidal

Catherine Vidal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Behavioral Neuroscience and Cognitive Neuroscience, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Stress Responses and Cortisol (7 papers), Neuropeptides and Animal Physiology (7 papers), Pain Mechanisms and Treatments (6 papers), Receptor Mechanisms and Signaling (5 papers), Prion Diseases and Protein Misfolding (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Behavioral Neuroscience (317 citations), Cellular and Molecular Neuroscience (1.1k citations), Cognitive Neuroscience (614 citations), Neurology (204 citations) and Molecular Biology (1.4k citations). Catherine Vidal has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Jean‐Pierre Changeux, Sylvie Granon, Joseph Jacob, Catherine Thinus‐Blanc, Bruno Poucet, D. Viala, JP Changeux, Michaëla Fontenay, Pierre Benoit and Christophe Mulle. Their work appears in journals such as Brain Research, Neuroscience, Life Sciences, European Journal of Neuroscience and Frontiers in 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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