Mathieu Charvériat

575 total citations
31 papers, 452 citations indexed

About

Mathieu Charvériat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Mathieu Charvériat has authored 31 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in Mathieu Charvériat's work include Connexins and lens biology (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Mathieu Charvériat is often cited by papers focused on Connexins and lens biology (12 papers), Neuroscience and Neuropharmacology Research (9 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). Mathieu Charvériat collaborates with scholars based in France, Switzerland and Canada. Mathieu Charvériat's co-authors include Franck Mouthon, Christian Giaume, Pascal Ezan, Luc Zimmer, Christian Giaume, Christian C. Naus, Luc Leybaert, Juan C. Sáez, M. Hamon and Benjamin Vidal and has published in prestigious journals such as Scientific Reports, Pain and International Journal of Molecular Sciences.

In The Last Decade

Mathieu Charvériat

30 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathieu Charvériat France 14 232 118 116 75 59 31 452
Jea Kwon South Korea 9 150 0.6× 225 1.9× 110 0.9× 54 0.7× 116 2.0× 19 542
Miho Matsumata Japan 9 285 1.2× 149 1.3× 81 0.7× 44 0.6× 51 0.9× 14 539
Yingchun Shang China 13 156 0.7× 95 0.8× 84 0.7× 71 0.9× 118 2.0× 17 448
Nellie Byun United States 14 444 1.9× 410 3.5× 64 0.6× 121 1.6× 51 0.9× 16 772
Geoffrey Mealing Canada 15 280 1.2× 325 2.8× 129 1.1× 68 0.9× 77 1.3× 31 702
Erin Munkácsy United States 9 278 1.2× 140 1.2× 110 0.9× 97 1.3× 77 1.3× 11 529
Cynthia Bleiwas United States 12 233 1.0× 136 1.2× 346 3.0× 95 1.3× 111 1.9× 17 786
Emanuele Brai Switzerland 12 189 0.8× 98 0.8× 121 1.0× 52 0.7× 85 1.4× 18 527
Maggie Mamcarz United States 10 177 0.8× 82 0.7× 142 1.2× 81 1.1× 32 0.5× 12 440
Jiaqian Ren United States 12 216 0.9× 208 1.8× 70 0.6× 105 1.4× 58 1.0× 18 546

Countries citing papers authored by Mathieu Charvériat

Since Specialization
Citations

This map shows the geographic impact of Mathieu Charvériat'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 Charvériat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Charvériat more than expected).

Fields of papers citing papers by Mathieu Charvériat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu Charvériat. 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 Charvériat. The network helps show where Mathieu Charvériat may publish in the future.

Co-authorship network of co-authors of Mathieu Charvériat

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Charvériat. A scholar is included among the top collaborators of Mathieu Charvériat 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 Mathieu Charvériat. Mathieu Charvériat 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.
Moulard, Julien, Pascal Ezan, Alexis‐Pierre Bemelmans, et al.. (2023). Upregulation of astroglial connexin 30 impairs hippocampal synaptic activity and recognition memory. PLoS Biology. 21(4). e3002075–e3002075. 7 indexed citations
2.
Bazzigaluppi, Paolo, Suzie Dufour, Bojana Stefanovic, et al.. (2023). Spreading depolarization suppression from inter-astrocytic gap junction blockade assessed with multimodal imaging and a novel wavefront detection scheme. Neurotherapeutics. 21(1). e00298–e00298.
3.
4.
Rouach, Nathalie, et al.. (2022). Modeling and Targeting Neuroglial Interactions with Human Pluripotent Stem Cell Models. International Journal of Molecular Sciences. 23(3). 1684–1684. 6 indexed citations
5.
Vidal, Benjamin, et al.. (2022). Impaired Local and Long-Range Brain Connectivity and Visual Response in a Genetic Rat Model of Hyperactivity Revealed by Functional Ultrasound. Frontiers in Neuroscience. 16. 865140–865140. 2 indexed citations
6.
Mouthon, Franck, et al.. (2021). Automated Assays to Identify Modulators of Transcription Factor EB Translocation and Autophagy. Assay and Drug Development Technologies. 20(2). 67–74. 1 indexed citations
7.
Charvériat, Mathieu & Bruno P. Guiard. (2021). Serotonergic neurons in the treatment of mood disorders: The dialogue with astrocytes. Progress in brain research. 259. 197–228. 6 indexed citations
8.
Vidal, Benjamin, et al.. (2021). Inter-subject registration and application of the SIGMA rat brain atlas for regional labeling in functional ultrasound imaging. Journal of Neuroscience Methods. 355. 109139–109139. 4 indexed citations
9.
Charvériat, Mathieu, et al.. (2020). Innovative approaches in CNS drug discovery. Therapies. 76(2). 101–109. 16 indexed citations
10.
Vidal, Benjamin, et al.. (2020). Functional ultrasound imaging to study brain dynamics: Application of pharmaco-fUS to atomoxetine. Neuropharmacology. 179. 108273–108273. 21 indexed citations
11.
Guiard, Bruno P., Johann Meunier, Vanessa Villard, et al.. (2020). Efficacy of THN201, a Combination of Donepezil and Mefloquine, to Reverse Neurocognitive Deficits in Alzheimer’s Disease. Frontiers in Neuroscience. 14. 563–563. 15 indexed citations
12.
Soleilhac, Emmanuelle, Caroline Barette, Laurence Aubry, et al.. (2020). Quantitative Automated Assays in Living Cells to Screen for Inhibitors of Hemichannel Function. SLAS DISCOVERY. 26(3). 420–427. 6 indexed citations
13.
Vidal, Benjamin, et al.. (2020). Pharmaco-fUS for Characterizing Drugs for Alzheimer’s Disease – The Case of THN201, a Drug Combination of Donepezil Plus Mefloquine. Frontiers in Neuroscience. 14. 835–835. 17 indexed citations
14.
Soleilhac, Emmanuelle, Agnès Journet, Caroline Barette, et al.. (2019). High-Content Screening Identifies New Inhibitors of Connexin 43 Gap Junctions. Assay and Drug Development Technologies. 17(5). 240–248. 20 indexed citations
15.
Tsurugizawa, Tomokazu, Bruno P. Guiard, Nicole Déglon, et al.. (2019). A New Tool for In Vivo Study of Astrocyte Connexin 43 in Brain. Scientific Reports. 9(1). 18292–18292. 15 indexed citations
16.
Faure, Alexis, Anne Nosjean, Annie Andrieux, et al.. (2018). Dissociated features of social cognition altered in mouse models of schizophrenia: Focus on social dominance and acoustic communication. Neuropharmacology. 159. 107334–107334. 12 indexed citations
17.
Charvériat, Mathieu, Christian C. Naus, Luc Leybaert, Juan C. Sáez, & Christian Giaume. (2017). Connexin-Dependent Neuroglial Networking as a New Therapeutic Target. Frontiers in Cellular Neuroscience. 11. 174–174. 49 indexed citations
18.
Richard, Damien, S. Bourgoin, Pascal Ezan, et al.. (2016). Potentiation of Amitriptyline Anti-Hyperalgesic-Like Action By Astroglial Connexin 43 Inhibition in Neuropathic Rats. Scientific Reports. 6(1). 38766–38766. 27 indexed citations
19.
Ezan, Pascal, et al.. (2016). Antidepressants Impact Connexin 43 Channel Functions in Astrocytes. Frontiers in Cellular Neuroscience. 9. 495–495. 56 indexed citations
20.
Aubry, Fabien, et al.. (2012). Human Connexin Channel Specificity of Classical and New Gap Junction Inhibitors. SLAS DISCOVERY. 17(10). 1339–1347. 30 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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