Grégory Verdon
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Molecular Medicine top 10%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Lipid Membrane Structure and Behavior 2
-
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Olga Boudker (4 shared papers)Bauke W. Dijkstra (3 shared papers)A.M.W.H. Thunnissen (3 shared papers)Arnold J. M. Driessen (3 shared papers)Sonja‐Verena Albers (3 shared papers)SeCheol Oh (1 shared paper)N. van Oosterwijk (1 shared paper)J.F. Hunt (2 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Biophysical Journal (2 papers)Nature Structural & Molecular Biology (1 paper)Molecular & Cellular Proteomics (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Grégory Verdon
14 papers receiving 814 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 125
- Molecular Medicine 71
- Cellular and Molecular Neuroscience 172
- Physiology 41
- Oncology 212
Countries citing papers authored by Grégory Verdon
This map shows the geographic impact of Grégory Verdon'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 Verdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Verdon more than expected).
Fields of papers citing papers by Grégory Verdon
This network shows the impact of papers produced by Grégory Verdon. 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 Verdon. The network helps show where Grégory Verdon may publish in the future.
Co-authors
The 25 scholars most cited alongside Grégory Verdon, 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 | 2012 | 135 | |
| 2 | 2003 | 133 | |
| 3 | 2010 | 110 | |
| 4 | 2014 | 95 | |
| 5 | 2011 | 79 | |
| 6 | 2003 | 79 | |
| 7 | 2001 | 68 | |
| 8 | 2010 | 57 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 24 | |
| 11 | 2002 | 9 | |
| 12 | 2016 | 2 | |
| 13 | 2012 | 1 | |
| 14 | 2024 | 1 |
About Grégory Verdon
Grégory Verdon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Oncology and Infectious Diseases, having authored 14 papers that have together received 822 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Molecular Sensors and Ion Detection (2 papers), Adenosine and Purinergic Signaling (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Biochemistry (125 citations), Molecular Medicine (71 citations), Cellular and Molecular Neuroscience (172 citations), Physiology (41 citations) and Oncology (212 citations). Grégory Verdon has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Olga Boudker, Bauke W. Dijkstra, A.M.W.H. Thunnissen, Arnold J. M. Driessen, Sonja‐Verena Albers, SeCheol Oh, N. van Oosterwijk, J.F. Hunt, Samuel K. Handelman and Laurence Serre. Their work appears in journals such as Journal of Molecular Biology, Biophysical Journal, Nature Structural & Molecular Biology, Molecular & Cellular Proteomics and Journal of Medicinal Chemistry.
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.