Jean‐Michel Verdier
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Neurological diseases and metabolism 4
- Molecular Biology top 10%
- Prion Diseases and Protein Misfolding 11
- Biomaterials top 10%
- Physiology top 10%
- Alzheimer's disease research and treatments 14
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- Kidney Stones and Urolithiasis Treatments 7
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- Enzyme Structure and Function 4
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- Trace Elements in Health 4
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- Bone and Dental Protein Studies 4
- Co-authors
- Nadine Mestre‐FrancésYvon BerlandJean–Charles DagornPatricia DupuyNicole Koffel-SchwartzMarc BicharaM. DauneRobert P. Fuchs
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (7 papers)Journal of Neuroscience (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Jean‐Michel Verdier
84 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 138
- Neurology 169
- Molecular Biology 902
- Biomaterials 163
- Biological Psychiatry 30
- Physiology 290
Countries citing papers authored by Jean‐Michel Verdier
This map shows the geographic impact of Jean‐Michel Verdier'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 Verdier 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 Verdier more than expected).
Fields of papers citing papers by Jean‐Michel Verdier
This network shows the impact of papers produced by Jean‐Michel Verdier. 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 Verdier. The network helps show where Jean‐Michel Verdier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Michel Verdier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 22 | |
| 2 | 2019 | 11 | |
| 3 | 2019 | 4 | |
| 4 | 2014 | 15 | |
| 5 | 2013 | 4 | |
| 6 | Prions and prion diseases : new developments | 2012 | 5 |
| 7 | 2012 | 4 | |
| 8 | 2012 | 14 | |
| 9 | 2011 | 15 | |
| 10 | 2010 | 64 | |
| 11 | 2010 | 25 | |
| 12 | 2010 | 26 | |
| 13 | 2008 | 23 | |
| 14 | 2008 | 81 | |
| 15 | 2000 | 16 | |
| 16 | 1996 | 15 | |
| 17 | 1995 | 75 | |
| 18 | 1995 | 7 | |
| 19 | 1990 | 71 | |
| 20 | [Candida albicans spondylitis. Review of the literature apropos of a case with study of bone penetration of 5-fluorocytosine]. | 1982 | 3 |
About Jean‐Michel Verdier
Jean‐Michel Verdier is a scholar working on Neurology, Developmental Neuroscience and Physiology, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Prion Diseases and Protein Misfolding (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Neurological diseases and metabolism (4 papers), Enzyme Structure and Function (4 papers), Trace Elements in Health (4 papers) and Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Neurology (169 citations), Molecular Biology (902 citations) and Biomaterials (163 citations). Jean‐Michel Verdier has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Nadine Mestre‐Francés, Yvon Berland, Jean–Charles Dagorn, Patricia Dupuy, Nicole Koffel-Schwartz, Marc Bichara, M. Daune, Robert P. Fuchs, Stéphane Marchal and Stéphanie Trouche. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.
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.