Mathieu Schmitt
Impact in
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
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- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Nuclear Receptors and Signaling 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Robert Gurny (1 shared paper)Simon Benita (1 shared paper)Frédéric Lallemand (1 shared paper)Jean‐Sébastien Garrigue (1 shared paper)Jean-Louis Bourges (1 shared paper)Georges Mairet‐Coello (2 shared papers)Patrick Mark Downey (1 shared paper)Anne Michel (1 shared paper)
In The Last Decade
Mathieu Schmitt
8 papers receiving 336 citations
Peers
Comparison fields: 5 of 58
- Pharmaceutical Science 80
- Neurology 58
- Physiology 124
- Biological Psychiatry 10
- Public Health, Environmental and Occupational Health 97
Countries citing papers authored by Mathieu Schmitt
This map shows the geographic impact of Mathieu Schmitt'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 Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Schmitt more than expected).
Fields of papers citing papers by Mathieu Schmitt
This network shows the impact of papers produced by Mathieu Schmitt. 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 Schmitt. The network helps show where Mathieu Schmitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathieu Schmitt, 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 | 2017 | 155 | |
| 2 | 2019 | 150 | |
| 3 | 2015 | 14 | |
| 4 | 2017 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2018 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2016 | 1 | |
| 10 | 2017 | 0 | |
| 11 | 2015 | 0 |
About Mathieu Schmitt
Mathieu Schmitt is a scholar working on Cellular and Molecular Neuroscience, Discrete Mathematics and Combinatorics, Molecular Biology, Pharmaceutical Science and Aerospace Engineering, having authored 11 papers that have together received 343 indexed citations. Recurring topics across this work include Spacecraft Design and Technology (2 papers), Nuclear Receptors and Signaling (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Real-Time Systems Scheduling (1 paper), Security and Verification in Computing (1 paper), Lipid Membrane Structure and Behavior (1 paper), RNA regulation and disease (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Pharmaceutical Science (80 citations), Neurology (58 citations), Physiology (124 citations), Biological Psychiatry (10 citations) and Public Health, Environmental and Occupational Health (97 citations). Mathieu Schmitt has collaborated with scholars based in France, Belgium and Brazil. Frequent co-authors include Robert Gurny, Simon Benita, Frédéric Lallemand, Jean‐Sébastien Garrigue, Jean-Louis Bourges, Georges Mairet‐Coello, Patrick Mark Downey, Anne Michel, Emilie Skrobala and Martin Citron. Their work appears in journals such as Journal of Molecular Cell Biology, European Journal of Pharmaceutics and Biopharmaceutics, IEEE Transactions on Emerging Topics in Computing, Pharmaceuticals and Brain.
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.