Vahri Beaumont
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 5%
- Cell Biology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Robert S. ZuckerIgnacio Muñoz-SanjuánNing ZhongLeon LagnadoArtur LlobetRoger CachopeRobert C. FroemkeRosemarie Grantyn
- Topics
- Neuroscience and Neuropharmacology Research (9 papers)Ion channel regulation and function (8 papers)Genetic Neurodegenerative Diseases (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Vahri Beaumont
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 954
- Cellular and Molecular Neuroscience 887
- Neurology 230
- Cell Biology 141
- Cognitive Neuroscience 127
Countries citing papers authored by Vahri Beaumont
This map shows the geographic impact of Vahri Beaumont'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 Vahri Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahri Beaumont more than expected).
Fields of papers citing papers by Vahri Beaumont
This network shows the impact of papers produced by Vahri Beaumont. 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 Vahri Beaumont. The network helps show where Vahri Beaumont may publish in the future.
Co-authorship network of co-authors of Vahri Beaumont
This figure shows the co-authorship network connecting the top 25 collaborators of Vahri Beaumont. A scholar is included among the top collaborators of Vahri Beaumont 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 Vahri Beaumont. Vahri Beaumont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 38 | |
| 5 | 19 | |
| 6 | 156 | |
| 7 | 23 | |
| 8 | 27 | |
| 9 | 188 | |
| 10 | 33 | |
| 11 | 113 | |
| 12 | 138 | |
| 13 | 35 | |
| 14 | 14 | |
| 15 | 53 | |
| 16 | 25 | |
| 17 | 58 | |
| 18 | 77 | |
| 19 | 195 | |
| 20 | 73 |
About Vahri Beaumont
Vahri Beaumont is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Ion channel regulation and function (8 papers) and Genetic Neurodegenerative Diseases (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (887 citations), Physiology (79 citations) and Neurology (230 citations). Vahri Beaumont has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Robert S. Zucker, Ignacio Muñoz-Sanjuán, Ning Zhong, Leon Lagnado, Artur Llobet, Roger Cachope, Robert C. Froemke, Rosemarie Grantyn, Baljit S. Khakh and Steven A. Goldman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.