Claude Villard
Impact in
- Internal Medicine top 10%
- Behavioral Neuroscience top 10%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Nicotinic Acetylcholine Receptors Study 3
- 14-3-3 protein interactions 3
-
- Microtubule and mitosis dynamics 4
- Co-authors
- Daniel Lafitte (17 shared papers)David Calligaris (6 shared papers)Diane Braguer (6 shared papers)Antoine Puigserver (8 shared papers)Lionel Alméras (5 shared papers)Pascal Verdier‐Pinard (4 shared papers)Dominique Lombardo (1 shared paper)Elodie Ristorcelli (1 shared paper)
- Journals
- Journal of Proteomics (3 papers)PROTEOMICS (3 papers)Biochimie (3 papers)Analytical Biochemistry (2 papers)Journal of Bacteriology (2 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Claude Villard
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Internal Medicine 53
- Behavioral Neuroscience 50
- Biological Psychiatry 32
- Molecular Medicine 58
- Molecular Biology 727
Countries citing papers authored by Claude Villard
This map shows the geographic impact of Claude Villard'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 Claude Villard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Villard more than expected).
Fields of papers citing papers by Claude Villard
This network shows the impact of papers produced by Claude Villard. 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 Claude Villard. The network helps show where Claude Villard may publish in the future.
Co-authors
The 25 scholars most cited alongside Claude Villard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 147 | |
| 2 | 2014 | 139 | |
| 3 | 2008 | 125 | |
| 4 | 2014 | 108 | |
| 5 | 2012 | 103 | |
| 6 | 1996 | 61 | |
| 7 | 2008 | 60 | |
| 8 | 2010 | 55 | |
| 9 | 2011 | 53 | |
| 10 | 2002 | 48 | |
| 11 | 2011 | 45 | |
| 12 | 2011 | 45 | |
| 13 | 2008 | 41 | |
| 14 | 2016 | 37 | |
| 15 | 2010 | 35 | |
| 16 | 2006 | 34 | |
| 17 | 2008 | 32 | |
| 18 | 2011 | 30 | |
| 19 | 2007 | 29 | |
| 20 | 2005 | 29 |
About Claude Villard
Claude Villard is a scholar working on Molecular Biology, Cell Biology, Genetics, Spectroscopy and Immunology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Microtubule and mitosis dynamics (4 papers), Cancer Treatment and Pharmacology (3 papers), RNA and protein synthesis mechanisms (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), 14-3-3 protein interactions (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Internal Medicine (53 citations), Behavioral Neuroscience (50 citations), Biological Psychiatry (32 citations), Molecular Medicine (58 citations) and Molecular Biology (727 citations). Claude Villard has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Daniel Lafitte, David Calligaris, Diane Braguer, Antoine Puigserver, Lionel Alméras, Pascal Verdier‐Pinard, Dominique Lombardo, Elodie Ristorcelli, Véronique Sbarra and Evelyne Béraud. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Biochimie, Analytical Biochemistry and Journal of Bacteriology.
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.