Éric Salvat
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
- Physiology 17
- Pain Mechanisms and Treatments 17
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- Botulinum Toxin and Related Neurological Disorders 7
- Co-authors
- Michel Barrot (15 shared papers)İpek Yalçın (12 shared papers)Mélanie Kremer (7 shared papers)André C. Müller (5 shared papers)Michel Leclère (6 shared papers)Marie-Laure Mugnier (6 shared papers)Jean-François Baget (5 shared papers)Xavier Moisset (2 shared papers)
In The Last Decade
Éric Salvat
31 papers receiving 1.0k citations
Éric Salvat's Hit Papers
Peers
Comparison fields: 5 of 105
- Anesthesiology and Pain Medicine 109
- Physiology 484
- Neurology 140
- Pharmacology 154
- Cellular and Molecular Neuroscience 171
Countries citing papers authored by Éric Salvat
This map shows the geographic impact of Éric Salvat'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 Salvat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Salvat more than expected).
Fields of papers citing papers by Éric Salvat
This network shows the impact of papers produced by Éric Salvat. 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 Salvat. The network helps show where Éric Salvat may publish in the future.
Co-authors
The 25 scholars most cited alongside Éric Salvat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pharmacological and non-pharmacological treatments for neuropathic pain: Systematic review and French recommendations Hit paper breakdown → | 2020 | 259 |
| 2 | 2016 | 201 | |
| 3 | 2011 | 134 | |
| 4 | 2018 | 70 | |
| 5 | 2014 | 57 | |
| 6 | Extending decidable cases for rules with existential variables | 2009 | 39 |
| 7 | 2013 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2016 | 26 | |
| 10 | 2019 | 21 | |
| 11 | 2021 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2006 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 14 | |
| 16 | 2017 | 12 | |
| 17 | 2015 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2021 | 9 |
About Éric Salvat
Éric Salvat is a scholar working on Physiology, Neurology, Artificial Intelligence, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (17 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (6 papers), Pain Management and Placebo Effect (5 papers), Neuropeptides and Animal Physiology (4 papers), Pain Management and Opioid Use (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (109 citations), Physiology (484 citations), Neurology (140 citations), Pharmacology (154 citations) and Cellular and Molecular Neuroscience (171 citations). Éric Salvat has collaborated with scholars based in France, Morocco and Germany. Frequent co-authors include Michel Barrot, İpek Yalçın, Mélanie Kremer, André C. Müller, Michel Leclère, Marie-Laure Mugnier, Jean-François Baget, Xavier Moisset, J.-P. Lefaucheur and Virginie Piano. Their work appears in journals such as Molecular Pain, European Journal of Pain, European Journal of Medicinal Chemistry, Journal of Visualized Experiments and Neuropharmacology.
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.