Kevin Beaumont
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 5%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Dennis A. SmithDarrell D. FanestilTristan S. MaurerDon K. WalkerLi DiH. Van De WaterbeemdT J RinkMary Kenney
- Topics
- Receptor Mechanisms and Signaling (32 papers)Neuropeptides and Animal Physiology (21 papers)Pharmacogenetics and Drug Metabolism (16 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Kevin Beaumont
102 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 1.5k
- Physiology 683
- Oncology 611
- Endocrinology, Diabetes and Metabolism 593
Countries citing papers authored by Kevin Beaumont
This map shows the geographic impact of Kevin 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 Kevin Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Beaumont more than expected).
Fields of papers citing papers by Kevin Beaumont
This network shows the impact of papers produced by Kevin 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 Kevin Beaumont. The network helps show where Kevin Beaumont may publish in the future.
Co-authorship network of co-authors of Kevin Beaumont
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Beaumont. A scholar is included among the top collaborators of Kevin 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 Kevin Beaumont. Kevin 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 | 5 | |
| 2 | 7 | |
| 3 | 72 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | 163 | |
| 7 | 41 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 166 | |
| 11 | 14 | |
| 12 | 220 | |
| 13 | 176 | |
| 14 | 80 | |
| 15 | 4 | |
| 16 | 28 | |
| 17 | 21 | |
| 18 | 39 | |
| 19 | 5 | |
| 20 | 'Supersensitivity' of dopamine systems: Comparisons between haloperidol withdrawal, intracisternal (IC) and unilateral (UNI) 6-hydroxydopamine (OHDA) treatments | 6 |
About Kevin Beaumont
Kevin Beaumont is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 103 papers that have together received 5.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Neuropeptides and Animal Physiology (21 papers) and Pharmacogenetics and Drug Metabolism (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Pharmacology (567 citations) and Endocrine and Autonomic Systems (435 citations). Kevin Beaumont has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Dennis A. Smith, Darrell D. Fanestil, Tristan S. Maurer, Don K. Walker, Li Di, H. Van De Waterbeemd, T J Rink, Mary Kenney, S.J. Enna and H. I. Yamamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.