Grégory Vernier
Impact in
- Endocrinology top 10%
-
- Bacterial Genetics and Biotechnology
- Yersinia bacterium, plague, ectoparasites research
Papers in
-
- Lipid Membrane Structure and Behavior 5
- Bacillus and Francisella bacterial research 3
- Protein Structure and Dynamics 2
- Genetics 3
- Yersinia bacterium, plague, ectoparasites research 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Vincent Forge (8 shared papers)Alexandre Chenal (5 shared papers)R. John Collier (3 shared papers)Daniel Gillet (3 shared papers)Jianjun Sun (2 shared papers)Éric Faudry (1 shared paper)Clément Blanchet (2 shared papers)Ina Attrée (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Protein Science (3 papers)Biochemistry (2 papers)Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Grégory Vernier
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 62
- Endocrinology 41
- Genetics 104
- Molecular Biology 237
- Molecular Medicine 16
- Biotechnology 27
Countries citing papers authored by Grégory Vernier
This map shows the geographic impact of Grégory Vernier'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 Grégory Vernier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Vernier more than expected).
Fields of papers citing papers by Grégory Vernier
This network shows the impact of papers produced by Grégory Vernier. 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 Grégory Vernier. The network helps show where Grégory Vernier may publish in the future.
Co-authors
The 25 scholars most cited alongside Grégory Vernier, 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 | 2006 | 59 | |
| 2 | 2009 | 48 | |
| 3 | 2006 | 44 | |
| 4 | 2006 | 44 | |
| 5 | 2005 | 43 | |
| 6 | 2007 | 37 | |
| 7 | 2007 | 36 | |
| 8 | 2009 | 17 | |
| 9 | 2007 | 14 | |
| 10 | 2009 | 8 | |
| 11 | 2005 | 2 |
About Grégory Vernier
Grégory Vernier is a scholar working on Molecular Biology, Genetics, Cell Biology, Physiology and Immunology, having authored 11 papers that have together received 352 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (5 papers), Bacillus and Francisella bacterial research (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Protein Structure and Dynamics (2 papers), Hemoglobin structure and function (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (41 citations), Genetics (104 citations), Molecular Biology (237 citations), Molecular Medicine (16 citations) and Biotechnology (27 citations). Grégory Vernier has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Vincent Forge, Alexandre Chenal, R. John Collier, Daniel Gillet, Jianjun Sun, Éric Faudry, Clément Blanchet, Ina Attrée, Emmanuelle Neumann and Darran J. Wigelsworth. Their work appears in journals such as Journal of Molecular Biology, Protein Science, Biochemistry, Journal of Biological Chemistry and PLoS ONE.
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.