Marc Benoit
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Alzheimer's disease research and treatments 5
- Co-authors
- Riqiang Yan (6 shared papers)Michel Lherm (2 shared papers)Xiangyou Hu (3 shared papers)Elly Nedivi (3 shared papers)John Zhou (4 shared papers)Patrick P. Veysset (1 shared paper)Didier Bébin (1 shared paper)Qingyuan Fan (2 shared papers)
- Journals
- Journal of Analytical Toxicology (6 papers)Animal Production Science (1 paper)Cell Reports (1 paper)Current Biology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesFranceMorocco
In The Last Decade
Marc Benoit
21 papers receiving 286 citations
Peers
Comparison fields: 5 of 93
- Neurology 62
- Biological Psychiatry 8
- Equine 5
- Developmental Neuroscience 11
- Physiology 60
Countries citing papers authored by Marc Benoit
This map shows the geographic impact of Marc Benoit'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 Marc Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Benoit more than expected).
Fields of papers citing papers by Marc Benoit
This network shows the impact of papers produced by Marc Benoit. 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 Marc Benoit. The network helps show where Marc Benoit may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Benoit, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2014 | 41 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 35 | |
| 5 | 2019 | 29 | |
| 6 | 2014 | 19 | |
| 7 | 2019 | 15 | |
| 8 | 2016 | 10 | |
| 9 | 2011 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2013 | 2 | |
| 19 | 1993 | 1 | |
| 20 | 2014 | 1 |
About Marc Benoit
Marc Benoit is a scholar working on Molecular Biology, Physiology, Cell Biology, Ecology and Animal Science and Zoology, having authored 22 papers that have together received 292 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Agriculture Sustainability and Environmental Impact (3 papers), Pharmacological Effects and Assays (3 papers), Cellular transport and secretion (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hormonal and reproductive studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Neurology (62 citations), Biological Psychiatry (8 citations), Equine (5 citations), Developmental Neuroscience (11 citations) and Physiology (60 citations). Marc Benoit has collaborated with scholars based in United States, France and Morocco. Frequent co-authors include Riqiang Yan, Michel Lherm, Xiangyou Hu, Elly Nedivi, John Zhou, Patrick P. Veysset, Didier Bébin, Qingyuan Fan, Jaichandar Subramanian and Wanxia He. Their work appears in journals such as Journal of Analytical Toxicology, Animal Production Science, Cell Reports, Current Biology 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.