Marc Benoit
Impact in
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- Neuroinflammation and Neurodegeneration Mechanisms
- Environmental Chemistry top 10%
- Sustainable Agricultural Systems Analysis
Papers in
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- Neurogenesis and neuroplasticity mechanisms 3
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Riqiang Yan (7 shared papers)Michel Lherm (2 shared papers)Elly Nedivi (3 shared papers)Xiangyou Hu (3 shared papers)John Zhou (4 shared papers)Jaichandar Subramanian (1 shared paper)Didier Bébin (1 shared paper)Patrick P. Veysset (1 shared paper)
- Journals
- Science Advances (1 paper)Current Biology (1 paper)Aging (1 paper)Cell Reports (1 paper)Glia (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Marc Benoit
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 66
- Neurology 51
- Environmental Chemistry 35
- Physiology 74
- Agronomy and Crop Science 30
- Cellular and Molecular Neuroscience 28
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2014 | 42 | |
| 3 | 2019 | 41 | |
| 4 | 2019 | 39 | |
| 5 | 2019 | 34 | |
| 6 | 2014 | 22 | |
| 7 | 2019 | 17 | |
| 8 | Indicators for internal parasitic infections in organic flocks: the diarrhoea score (Disco) proposal for lambs | 2006 | 14 |
| 9 | 2016 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2007 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2019 | 2 | |
| 17 | Maximiser la part du pâturage dans l’alimentation des ovins : intérêt pour l’autonomie alimentaire, l’environnement et la qualité des produits | 2009 | 1 |
About Marc Benoit
Marc Benoit is a scholar working on Developmental Neuroscience, Neurology, Physiology, Environmental Chemistry and Agronomy and Crop Science, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Sustainable Agricultural Systems Analysis (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Agriculture Sustainability and Environmental Impact (1 paper) and Pharmacological Effects and Assays (1 paper). The work is most often cited by research in Neurology (51 citations), Environmental Chemistry (35 citations), Physiology (74 citations), Agronomy and Crop Science (30 citations) and Cellular and Molecular Neuroscience (28 citations). Marc Benoit has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Riqiang Yan, Michel Lherm, Elly Nedivi, Xiangyou Hu, John Zhou, Jaichandar Subramanian, Didier Bébin, Patrick P. Veysset, Wanxia He and Qingyuan Fan. Their work appears in journals such as Science Advances, Current Biology, Aging, Cell Reports and Glia.
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.