Mathilde Cheray
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Genetics 7
- Glioma Diagnosis and Treatment 7
- Co-authors
- Bertrand Joseph (11 shared papers)François M. Vallette (9 shared papers)Pierre‐François Cartron (9 shared papers)Éric Hervouet (3 shared papers)Arulraj Nadaradjane (5 shared papers)Fabrice Lalloué (9 shared papers)Lisenn Lalier-Bretaudeau (2 shared papers)Marie‐Odile Jauberteau (8 shared papers)
- Journals
- Cell Death and Disease (3 papers)Theranostics (2 papers)Frontiers in Cellular Neuroscience (2 papers)Epigenomics (2 papers)Autophagy (2 papers)
- Partner nations
- SwedenFranceUnited Kingdom
In The Last Decade
Mathilde Cheray
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Neurology 191
- Biological Psychiatry 45
- Cancer Research 196
- Genetics 91
- Molecular Biology 595
Countries citing papers authored by Mathilde Cheray
This map shows the geographic impact of Mathilde Cheray'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 Mathilde Cheray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Cheray more than expected).
Fields of papers citing papers by Mathilde Cheray
This network shows the impact of papers produced by Mathilde Cheray. 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 Mathilde Cheray. The network helps show where Mathilde Cheray may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Cheray, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 127 | |
| 2 | 2010 | 119 | |
| 3 | 2013 | 88 | |
| 4 | 2019 | 84 | |
| 5 | 2020 | 76 | |
| 6 | 2014 | 75 | |
| 7 | 2023 | 68 | |
| 8 | 2010 | 44 | |
| 9 | 2009 | 39 | |
| 10 | 2021 | 38 | |
| 11 | 2014 | 38 | |
| 12 | 2020 | 34 | |
| 13 | 2013 | 32 | |
| 14 | 2017 | 26 | |
| 15 | 2016 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2014 | 21 | |
| 18 | 2011 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2022 | 17 |
About Mathilde Cheray
Mathilde Cheray is a scholar working on Neurology, Genetics, Immunology, Molecular Biology and Cancer Research, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (8 papers), Glioma Diagnosis and Treatment (7 papers), Microfluidic and Bio-sensing Technologies (6 papers), Microwave and Dielectric Measurement Techniques (5 papers), Autophagy in Disease and Therapy (3 papers) and Acoustic Wave Resonator Technologies (3 papers). The work is most often cited by research in Neurology (191 citations), Biological Psychiatry (45 citations), Cancer Research (196 citations), Genetics (91 citations) and Molecular Biology (595 citations). Mathilde Cheray has collaborated with scholars based in Sweden, France and United Kingdom. Frequent co-authors include Bertrand Joseph, François M. Vallette, Pierre‐François Cartron, Éric Hervouet, Arulraj Nadaradjane, Fabrice Lalloué, Lisenn Lalier-Bretaudeau, Marie‐Odile Jauberteau, Lily Keane and Arnaud Pothier. Their work appears in journals such as Cell Death and Disease, Theranostics, Frontiers in Cellular Neuroscience, Epigenomics and Autophagy.
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.