Katell Beauvais
- Neurology top 10%
- Pediatrics, Perinatology and Child Health
- Psychiatry and Mental health
- Molecular Biology
- Cellular and Molecular Neuroscience
- Co-authors
- A. FurbyClaire De BaraceVéronique SebillePhilippe LatourFlorence RiantElisabeth Tournier‐LasserveMarc TardieuJ.M. Mussini
- Topics
- Epilepsy research and treatment (3 papers)Genetic Neurodegenerative Diseases (3 papers)Amyotrophic Lateral Sclerosis Research (3 papers)
- Journals
- Journal of Neurology Neurosurgery & PsychiatryJournal of NeurologyArchives of Disease in Childhood Fetal & Neonatal
- Partner nations
- FranceSwitzerland
In The Last Decade
Katell Beauvais
10 papers receiving 229 citations
Peers
Comparison fields: 5 of 53
- Neurology 116
- Pediatrics, Perinatology and Child Health 50
- Psychiatry and Mental health 45
- Molecular Biology 38
- Cellular and Molecular Neuroscience 34
Countries citing papers authored by Katell Beauvais
This map shows the geographic impact of Katell Beauvais'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 Katell Beauvais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katell Beauvais more than expected).
Fields of papers citing papers by Katell Beauvais
This network shows the impact of papers produced by Katell Beauvais. 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 Katell Beauvais. The network helps show where Katell Beauvais may publish in the future.
Co-authorship network of co-authors of Katell Beauvais
This figure shows the co-authorship network connecting the top 25 collaborators of Katell Beauvais. A scholar is included among the top collaborators of Katell Beauvais 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 Katell Beauvais. Katell Beauvais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 14 | |
| 3 | 47 | |
| 4 | 36 | |
| 5 | 51 | |
| 6 | 22 | |
| 7 | 10 | |
| 8 | 38 | |
| 9 | Mouvements buccaux complexes critiques explorés en stéréo-EEG | 2 |
| 10 | Céphalées d'origine épileptique | 4 |
About Katell Beauvais
Katell Beauvais is a scholar working on Neurology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 10 papers that have together received 236 indexed citations. Recurring topics across this work include Epilepsy research and treatment (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Neurology (116 citations), Psychiatry and Mental health (45 citations) and Pediatrics, Perinatology and Child Health (50 citations). Katell Beauvais has collaborated with scholars based in France and Switzerland. Frequent co-authors include A. Furby, Claire De Barace, Véronique Sebille, Philippe Latour, Florence Riant, Elisabeth Tournier‐Lasserve, Marc Tardieu, J.M. Mussini, Alain Créange and B. Eymard. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Journal of Neurology and Archives of Disease in Childhood Fetal & Neonatal.
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.