Mathilde Cheray
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Epigenetics and DNA Methylation 10
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- Neuroinflammation and Neurodegeneration Mechanisms 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)Lily Keane (7 shared papers)
- Journals
- Cell Death and Disease (3 papers)Epigenomics (2 papers)Theranostics (2 papers)Frontiers in Cellular Neuroscience (2 papers)Autophagy (2 papers)
- Partner nations
- FranceSwedenUnited Kingdom
In The Last Decade
Mathilde Cheray
30 papers receiving 912 citations
Peers
Comparison fields: 5 of 90
- Neurology 110
- Cancer Research 184
- Biological Psychiatry 25
- Genetics 83
- Molecular Biology 544
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 119 | |
| 2 | 2010 | 118 | |
| 3 | 2013 | 86 | |
| 4 | 2020 | 76 | |
| 5 | 2014 | 74 | |
| 6 | 2010 | 40 | |
| 7 | 2014 | 39 | |
| 8 | 2009 | 36 | |
| 9 | 2021 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2013 | 31 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 21 | |
| 14 | 2016 | 21 | |
| 15 | 2011 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2016 | 18 | |
| 18 | 2022 | 17 | |
| 19 | 2009 | 16 | |
| 20 | 2017 | 13 |
About Mathilde Cheray
Mathilde Cheray is a scholar working on Molecular Biology, Neurology, Immunology, Genetics and Biomedical Engineering, having authored 31 papers that have together received 924 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Microfluidic and Bio-sensing Technologies (6 papers), Immune cells in cancer (6 papers), Glioma Diagnosis and Treatment (6 papers), Microwave and Dielectric Measurement Techniques (5 papers), Acoustic Wave Resonator Technologies (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Neurology (110 citations), Cancer Research (184 citations), Biological Psychiatry (25 citations), Genetics (83 citations) and Molecular Biology (544 citations). Mathilde Cheray has collaborated with scholars based in France, Sweden and United Kingdom. Frequent co-authors include Bertrand Joseph, François M. Vallette, Pierre‐François Cartron, Éric Hervouet, Arulraj Nadaradjane, Fabrice Lalloué, Lisenn Lalier-Bretaudeau, Lily Keane, Marie‐Odile Jauberteau and Arnaud Pothier. Their work appears in journals such as Cell Death and Disease, Epigenomics, Theranostics, Frontiers in Cellular Neuroscience 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.