Éric Beaumont
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Neurology top 2%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Phillip F. GardinerMohamed BenderdourJulio FernandesPatrick LavigneJeffrey L. ArdellKarin A. CorsiJ. Andrew ArmourE. Marie Southerland
- Topics
- Heart Rate Variability and Autonomic Control (15 papers)Vagus Nerve Stimulation Research (10 papers)Spinal Cord Injury Research (9 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Éric Beaumont
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 665
- Cardiology and Cardiovascular Medicine 507
- Neurology 425
- Biomedical Engineering 380
- Cellular and Molecular Neuroscience 372
Countries citing papers authored by Éric Beaumont
This map shows the geographic impact of Éric 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 Éric Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Beaumont more than expected).
Fields of papers citing papers by Éric Beaumont
This network shows the impact of papers produced by Éric 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 Éric Beaumont. The network helps show where Éric Beaumont may publish in the future.
Co-authorship network of co-authors of Éric Beaumont
This figure shows the co-authorship network connecting the top 25 collaborators of Éric Beaumont. A scholar is included among the top collaborators of Éric 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 Éric Beaumont. Éric 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 | 19 | |
| 2 | Heterozygous Dcc mutant mice have a subtle locomotor phenotype | 3 |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Abstract 15586: Optimum Heart Rate Response to Autonomic Regulation Therapy is Frequency Dependent | 2 |
| 8 | 100 | |
| 9 | 43 | |
| 10 | 19 | |
| 11 | 23 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 46 | |
| 15 | 54 | |
| 16 | 317 | |
| 17 | 71 | |
| 18 | 397 | |
| 19 | 84 | |
| 20 | 82 |
About Éric Beaumont
Éric Beaumont is a scholar working on Neurology, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (15 papers), Vagus Nerve Stimulation Research (10 papers) and Spinal Cord Injury Research (9 papers). The work is most often cited by research in Neurology (425 citations), Pharmaceutical Science (147 citations) and Cardiology and Cardiovascular Medicine (507 citations). Éric Beaumont has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Phillip F. Gardiner, Mohamed Benderdour, Julio Fernandes, Patrick Lavigne, Jeffrey L. Ardell, Karin A. Corsi, J. Andrew Armour, E. Marie Southerland, Cuie Yan and Françoise M. Winnik. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.
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.