Grégory Verdon
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Molecular Medicine top 10%
Papers in
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- Neuroscience and Neuropharmacology Research 3
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- Adenosine and Purinergic Signaling 2
- Co-authors
- Olga Boudker (4 shared papers)Arnold J. M. Driessen (3 shared papers)Bauke W. Dijkstra (3 shared papers)Andy-Mark Thunnissen (3 shared papers)Sonja‐Verena Albers (3 shared papers)SeCheol Oh (1 shared paper)Niels Van Oosterwijk (1 shared paper)Samuel K. Handelman (2 shared papers)
- Journals
- Journal of Molecular Biology (3 papers)Biophysical Journal (2 papers)Molecular & Cellular Proteomics (1 paper)eLife (1 paper)Structure (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Grégory Verdon
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Biochemistry 153
- Molecular Medicine 76
- Physiology 50
- Oncology 258
- Cellular and Molecular Neuroscience 187
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 | 2015 | 200 | |
| 2 | 2003 | 142 | |
| 3 | 2012 | 139 | |
| 4 | 2010 | 122 | |
| 5 | 2014 | 95 | |
| 6 | 2011 | 86 | |
| 7 | 2003 | 82 | |
| 8 | 2001 | 72 | |
| 9 | 2010 | 61 | |
| 10 | 2021 | 34 | |
| 11 | 2020 | 29 | |
| 12 | 2002 | 9 | |
| 13 | 2024 | 5 | |
| 14 | 2016 | 2 | |
| 15 | 2012 | 1 |
About Grégory Verdon
Grégory Verdon is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Biochemistry and Genetics, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Drug Transport and Resistance Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Adenosine and Purinergic Signaling (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Biochemistry (153 citations), Molecular Medicine (76 citations), Physiology (50 citations), Oncology (258 citations) and Cellular and Molecular Neuroscience (187 citations). Grégory Verdon has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Olga Boudker, Arnold J. M. Driessen, Bauke W. Dijkstra, Andy-Mark Thunnissen, Sonja‐Verena Albers, SeCheol Oh, Niels Van Oosterwijk, Samuel K. Handelman, John Francis Hunt and Laurence Serre. Their work appears in journals such as Journal of Molecular Biology, Biophysical Journal, Molecular & Cellular Proteomics, eLife and Structure.
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.