G. Saïd
Impact in
- Neurology top 1%
- Peripheral Neuropathies and Disorders
- Botulinum Toxin and Related Neurological Disorders
-
- Hereditary Neurological Disorders
- Nerve injury and regeneration
Papers in
- Neurology 23
- Peripheral Neuropathies and Disorders 11
- Botulinum Toxin and Related Neurological Disorders 7
- Neurological Disorders and Treatments 5
- Physiology 16
- Pain Mechanisms and Treatments 14
- Co-authors
- C. Lacroix (7 shared papers)David Adams (11 shared papers)M. Hontebeyrie-Joskowicz (3 shared papers)J. Selva (2 shared papers)Violaine Planté‐Bordeneuve (7 shared papers)G. Slama (2 shared papers)V. Planté (4 shared papers)Thibault Lalu (3 shared papers)
- Journals
- Neurology (6 papers)Journal of Neurology (5 papers)Brain (5 papers)Annals of Neurology (3 papers)Journal of Hepatology (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
G. Saïd
73 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 101
- Neurology 915
- Cellular and Molecular Neuroscience 596
- Physiology 543
- Neurology 145
- Virology 58
Countries citing papers authored by G. Saïd
This map shows the geographic impact of G. Saïd'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 G. Saïd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Saïd more than expected).
Fields of papers citing papers by G. Saïd
This network shows the impact of papers produced by G. Saïd. 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 G. Saïd. The network helps show where G. Saïd may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Saïd, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 233 | |
| 2 | 1983 | 203 | |
| 3 | 2007 | 174 | |
| 4 | 2005 | 109 | |
| 5 | 1992 | 108 | |
| 6 | 1991 | 102 | |
| 7 | 2003 | 98 | |
| 8 | 1998 | 89 | |
| 9 | 1995 | 85 | |
| 10 | 1996 | 82 | |
| 11 | 1988 | 74 | |
| 12 | 2011 | 65 | |
| 13 | 2000 | 59 | |
| 14 | 1994 | 59 | |
| 15 | 1999 | 53 | |
| 16 | 1988 | 52 | |
| 17 | 2008 | 51 | |
| 18 | 2007 | 43 | |
| 19 | 1990 | 41 | |
| 20 | 1979 | 39 |
About G. Saïd
G. Saïd is a scholar working on Neurology, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (12 papers), Peripheral Neuropathies and Disorders (11 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Neurological and metabolic disorders (6 papers), Cellular transport and secretion (5 papers), Hereditary Neurological Disorders (5 papers) and Neurological Disorders and Treatments (5 papers). The work is most often cited by research in Neurology (915 citations), Cellular and Molecular Neuroscience (596 citations), Physiology (543 citations), Neurology (145 citations) and Virology (58 citations). G. Saïd has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include C. Lacroix, David Adams, M. Hontebeyrie-Joskowicz, J. Selva, Violaine Planté‐Bordeneuve, G. Slama, V. Planté, Thibault Lalu, F Chédru and Céline Bouchard. Their work appears in journals such as Neurology, Journal of Neurology, Brain, Annals of Neurology and Journal of Hepatology.
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.