Séverine Chaumont‐Dubel
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 0.2%
- Physiology top 5%
- Neurology top 5%
- Co-authors
- Philippe MarinLauriane UlmannGary BuellBaljit S. KhakhJon P. HatcherIain P. ChessellJane P. HughesAlison J. Reeve
- Topics
- Neuroscience and Neuropharmacology Research (19 papers)Receptor Mechanisms and Signaling (18 papers)Adenosine and Purinergic Signaling (7 papers)
- Partner nations
- FrancePolandUnited Kingdom
In The Last Decade
Séverine Chaumont‐Dubel
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 918
- Cellular and Molecular Neuroscience 847
- Physiology 596
- Physiology 398
- Neurology 249
Countries citing papers authored by Séverine Chaumont‐Dubel
This map shows the geographic impact of Séverine Chaumont‐Dubel'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 Séverine Chaumont‐Dubel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Chaumont‐Dubel more than expected).
Fields of papers citing papers by Séverine Chaumont‐Dubel
This network shows the impact of papers produced by Séverine Chaumont‐Dubel. 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 Séverine Chaumont‐Dubel. The network helps show where Séverine Chaumont‐Dubel may publish in the future.
Co-authorship network of co-authors of Séverine Chaumont‐Dubel
This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Chaumont‐Dubel. A scholar is included among the top collaborators of Séverine Chaumont‐Dubel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Séverine Chaumont‐Dubel. Séverine Chaumont‐Dubel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 94 | |
| 5 | 15 | |
| 6 | 11 | |
| 7 | 22 | |
| 8 | 18 | |
| 9 | 27 | |
| 10 | 18 | |
| 11 | 19 | |
| 12 | 27 | |
| 13 | 35 | |
| 14 | 31 | |
| 15 | 25 | |
| 16 | 62 | |
| 17 | 134 | |
| 18 | 454 | |
| 19 | 38 | |
| 20 | 76 |
About Séverine Chaumont‐Dubel
Séverine Chaumont‐Dubel is a scholar working on Physiology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Receptor Mechanisms and Signaling (18 papers) and Adenosine and Purinergic Signaling (7 papers). The work is most often cited by research in Physiology (596 citations), Cellular and Molecular Neuroscience (847 citations) and Endocrine and Autonomic Systems (241 citations). Séverine Chaumont‐Dubel has collaborated with scholars based in France, Poland and United Kingdom. Frequent co-authors include Philippe Marin, Lauriane Ulmann, Gary Buell, Baljit S. Khakh, Jon P. Hatcher, Iain P. Chessell, Jane P. Hughes, Alison J. Reeve, Paula J. Green and François Conquet. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological 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.