Mathilde Cheray

1.4k total citations
29 papers, 853 citations indexed

About

Mathilde Cheray is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Mathilde Cheray has authored 29 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Immunology. Recurrent topics in Mathilde Cheray's work include Epigenetics and DNA Methylation (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Immune cells in cancer (6 papers). Mathilde Cheray is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Immune cells in cancer (6 papers). Mathilde Cheray collaborates with scholars based in France, Sweden and United Kingdom. Mathilde Cheray's co-authors include Bertrand Joseph, Pierre‐François Cartron, François M. Vallette, Éric Hervouet, Arulraj Nadaradjane, Lisenn Lalier, Marie‐Odile Jauberteau, Fabrice Lalloué, Lily Keane and Arnaud Pothier and has published in prestigious journals such as PLoS ONE, Molecular Cancer and Cancer Letters.

In The Last Decade

Mathilde Cheray

28 papers receiving 844 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathilde Cheray France 17 561 200 113 111 87 29 853
Chien‐Chih Ke Taiwan 15 369 0.7× 158 0.8× 102 0.9× 39 0.4× 80 0.9× 48 654
Haofei Wang China 17 1.0k 1.8× 365 1.8× 33 0.3× 125 1.1× 33 0.4× 49 1.5k
Md Nabiul Hasan United States 14 232 0.4× 94 0.5× 181 1.6× 129 1.2× 86 1.0× 17 596
Myoung‐Eun Han South Korea 20 849 1.5× 360 1.8× 29 0.3× 78 0.7× 47 0.5× 47 1.2k
Rebecca J. Burgess United States 14 903 1.6× 132 0.7× 31 0.3× 96 0.9× 100 1.1× 18 1.3k
Valentina Vultaggio-Poma Italy 13 288 0.5× 94 0.5× 82 0.7× 97 0.9× 16 0.2× 24 724
Yanchun Zhao China 13 976 1.7× 460 2.3× 139 1.2× 79 0.7× 16 0.2× 29 1.3k
Minxuan Sun China 16 406 0.7× 161 0.8× 25 0.2× 53 0.5× 45 0.5× 39 781
Bum Ju Ahn South Korea 16 283 0.5× 63 0.3× 159 1.4× 133 1.2× 20 0.2× 23 638
Shouji Zhang China 12 429 0.8× 253 1.3× 40 0.4× 89 0.8× 61 0.7× 14 690

Countries citing papers authored by Mathilde Cheray

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mathilde Cheray

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Cheray. A scholar is included among the top collaborators of Mathilde Cheray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathilde Cheray. Mathilde Cheray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grassi, Francesca, Madhurendra Singh, Simon Moussaud, et al.. (2025). DCPS is a synthetic lethal therapeutic target in acute myeloid leukemia expressing low levels of FHIT. Leukemia. 39(8). 2021–2025.
2.
3.
Cheray, Mathilde, et al.. (2024). ID2-ETS2 axis regulates the transcriptional acquisition of pro-tumoral microglia phenotype in glioma. Cell Death and Disease. 15(7). 512–512. 3 indexed citations
4.
Grabert, Kathleen, Pinelopi Engskog‐Vlachos, Adriana‐Natalia Murgoci, et al.. (2023). Proteome integral solubility alteration high-throughput proteomics assay identifies Collectin-12 as a non-apoptotic microglial caspase-3 substrate. Cell Death and Disease. 14(3). 192–192. 7 indexed citations
5.
Keane, Lily, Mathilde Cheray, Klas Blomgren, & Bertrand Joseph. (2021). Multifaceted microglia — key players in primary brain tumour heterogeneity. Nature Reviews Neurology. 17(4). 243–259. 33 indexed citations
6.
Cheray, Mathilde, et al.. (2021). Atg7 deficiency in microglia drives an altered transcriptomic profile associated with an impaired neuroinflammatory response. Molecular Brain. 14(1). 87–87. 9 indexed citations
7.
Keane, Lily, Mathilde Cheray, Patricia González-Rodríguez, et al.. (2021). Inhibition of microglial EZH2 leads to anti-tumoral effects in pediatric diffuse midline gliomas. Neuro-Oncology Advances. 3(1). vdab096–vdab096. 20 indexed citations
8.
Cheray, Mathilde, Amandine Etcheverry, Camille Jacques, et al.. (2020). Cytosine methylation of mature microRNAs inhibits their functions and is associated with poor prognosis in glioblastoma multiforme. Molecular Cancer. 19(1). 36–36. 72 indexed citations
9.
Cheray, Mathilde, Vassilis Stratoulias, Bertrand Joseph, & Kathleen Grabert. (2019). The Rules of Engagement: Do Microglia Seal the Fate in the Inverse Relation of Glioma and Alzheimer’s Disease?. Frontiers in Cellular Neuroscience. 13. 522–522. 4 indexed citations
10.
Cartron, Pierre‐François, Mathilde Cheray, & Laurent Bretaudeau. (2019). Epigenetic Protein Complexes: The Adequate Candidates for the Use of a New Generation of Epidrugs in Personalized and Precision Medicine in Cancer. Epigenomics. 12(2). 171–177. 10 indexed citations
11.
Cheray, Mathilde & Bertrand Joseph. (2018). Epigenetics Control Microglia Plasticity. Frontiers in Cellular Neuroscience. 12. 243–243. 109 indexed citations
12.
Cheray, Mathilde, et al.. (2016). Specific Inhibition of DNMT3A/ISGF3γ Interaction Increases the Temozolomide Efficiency to Reduce Tumor Growth. Theranostics. 6(11). 1988–1999. 17 indexed citations
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14.
Cheray, Mathilde, et al.. (2014). Histone H3 Phosphorylation in GBM: a New Rational to Guide the Use of Kinase Inhibitors in anti-GBM Therapy. Theranostics. 5(1). 12–22. 36 indexed citations
15.
Morfouace, Marie, Lisenn Lalier, Lisa Oliver, et al.. (2014). Control of glioma cell death and differentiation by PKM2–Oct4 interaction. Cell Death and Disease. 5(1). e1036–e1036. 72 indexed citations
16.
Cheray, Mathilde, et al.. (2013). Specific inhibition of one DNMT1-including complex influences tumor initiation and progression. Clinical Epigenetics. 5(1). 9–9. 30 indexed citations
17.
Cheray, Mathilde, Daniel Petit, Lionel Forestier, et al.. (2011). Glycosylation-related gene expression is linked to differentiation status in glioblastomas undifferentiated cells. Cancer Letters. 312(1). 24–32. 20 indexed citations
18.
Hervouet, Éric, Lisenn Lalier, Emilie Debien, et al.. (2010). Disruption of Dnmt1/PCNA/UHRF1 Interactions Promotes Tumorigenesis from Human and Mice Glial Cells. PLoS ONE. 5(6). e11333–e11333. 113 indexed citations
19.
Dalmay, Claire, Arnaud Pothier, Mathilde Cheray, et al.. (2010). Microwave sensors for stem cell identification and discrimination. 2010 IEEE MTT-S International Microwave Symposium. 620–623. 2 indexed citations
20.
Dalmay, Claire, et al.. (2009). RF biosensor based on microwave filter for biological cell characterisation. 41–44. 7 indexed citations

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.

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