Grégory Verdon
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Molecular Medicine top 5%
Papers in
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- RNA and protein synthesis mechanisms 3
-
- 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)Molecular & Cellular Proteomics (1 paper)Nature Communications (1 paper)Trends in Pharmacological Sciences (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Grégory Verdon
14 papers receiving 856 citations
Peers
Comparison fields: 5 of 74
- Biochemistry 127
- Molecular Medicine 73
- Cellular and Molecular Neuroscience 178
- Physiology 45
- Oncology 219
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 | 2003 | 139 | |
| 2 | 2012 | 138 | |
| 3 | 2010 | 118 | |
| 4 | 2014 | 96 | |
| 5 | 2011 | 84 | |
| 6 | 2003 | 81 | |
| 7 | 2001 | 72 | |
| 8 | 2010 | 61 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 26 | |
| 11 | 2002 | 9 | |
| 12 | 2024 | 3 | |
| 13 | 2016 | 2 | |
| 14 | 2012 | 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 863 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (2 papers), Molecular Sensors and Ion Detection (2 papers), Adenosine and Purinergic Signaling (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Biochemistry (127 citations), Molecular Medicine (73 citations), Cellular and Molecular Neuroscience (178 citations), Physiology (45 citations) and Oncology (219 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, Molecular & Cellular Proteomics, Nature Communications and Trends in Pharmacological Sciences.
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.