Mathieu Barbier
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
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- Amyotrophic Lateral Sclerosis Research 9
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- Autonomous Vehicle Technology and Safety 7
- Co-authors
- Pascal Rihet (7 shared papers)Ronald J. A. Wanders (2 shared papers)Inge M. E. Dijkstra (2 shared papers)Stephan Kemp (2 shared papers)Björn M. van Geel (1 shared paper)Bwee Tien Poll‐The (1 shared paper)Rob M. A. de Bie (1 shared paper)Camiel Verhamme (1 shared paper)
- Journals
- Brain (4 papers)Genetics in Medicine (3 papers)Genes and Immunity (2 papers)Microbes and Infection (2 papers)Neurobiology of Aging (2 papers)
- Partner nations
- FranceAustraliaNetherlands
In The Last Decade
Mathieu Barbier
35 papers receiving 863 citations
Peers
Comparison fields: 5 of 91
- Clinical Biochemistry 79
- Neurology 158
- Neurology 85
- Cellular and Molecular Neuroscience 186
- Genetics 80
Countries citing papers authored by Mathieu Barbier
This map shows the geographic impact of Mathieu Barbier'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 Mathieu Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Barbier more than expected).
Fields of papers citing papers by Mathieu Barbier
This network shows the impact of papers produced by Mathieu Barbier. 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 Mathieu Barbier. The network helps show where Mathieu Barbier may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Barbier, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 182 | |
| 2 | 2014 | 107 | |
| 3 | 2018 | 81 | |
| 4 | 2019 | 68 | |
| 5 | 2007 | 52 | |
| 6 | 2018 | 41 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2011 | 31 | |
| 10 | 2022 | 28 | |
| 11 | 2018 | 24 | |
| 12 | 2019 | 21 | |
| 13 | 2006 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2012 | 13 | |
| 18 | 2008 | 12 | |
| 19 | 2008 | 12 | |
| 20 | 2011 | 11 |
About Mathieu Barbier
Mathieu Barbier is a scholar working on Neurology, Automotive Engineering, Cellular and Molecular Neuroscience, Physiology and Software, having authored 37 papers that have together received 879 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (9 papers), Autonomous Vehicle Technology and Safety (7 papers), Malaria Research and Control (6 papers), Genetic Neurodegenerative Diseases (4 papers), Alzheimer's disease research and treatments (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Human-Automation Interaction and Safety (3 papers) and Prion Diseases and Protein Misfolding (3 papers). The work is most often cited by research in Clinical Biochemistry (79 citations), Neurology (158 citations), Neurology (85 citations), Cellular and Molecular Neuroscience (186 citations) and Genetics (80 citations). Mathieu Barbier has collaborated with scholars based in France, Australia and Netherlands. Frequent co-authors include Pascal Rihet, Ronald J. A. Wanders, Inge M. E. Dijkstra, Stephan Kemp, Björn M. van Geel, Bwee Tien Poll‐The, Rob M. A. de Bie, Camiel Verhamme, Marcel G. W. Dijkgraaf and Patrick A. Aubourg. Their work appears in journals such as Brain, Genetics in Medicine, Genes and Immunity, Microbes and Infection and Neurobiology of Aging.
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.