Maylis Raphaël

705 total citations
8 papers, 537 citations indexed

About

Maylis Raphaël is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maylis Raphaël has authored 8 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Sensory Systems and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maylis Raphaël's work include Ion Channels and Receptors (6 papers), Connexins and lens biology (3 papers) and Ion channel regulation and function (2 papers). Maylis Raphaël is often cited by papers focused on Ion Channels and Receptors (6 papers), Connexins and lens biology (3 papers) and Ion channel regulation and function (2 papers). Maylis Raphaël collaborates with scholars based in France, Austria and Ukraine. Maylis Raphaël's co-authors include V’yacheslav Lehen’kyi, Natalia Prevarskaya, Roman Skryma, Matthieu Vandenberghe, Fabien Vanden Abeele, Christoph Romanin, Benjamin Beck, Matthieu Flourakis, Brigitte Mauroy and Yaroslav M. Shuba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Physiology.

In The Last Decade

Maylis Raphaël

8 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maylis Raphaël France 8 309 289 82 79 67 8 537
Véronique Juvin United Kingdom 9 390 1.3× 242 0.8× 131 1.6× 78 1.0× 32 0.5× 9 655
Scott M. Emrich United States 12 336 1.1× 398 1.4× 42 0.5× 207 2.6× 133 2.0× 23 667
Ryan E. Yoast United States 13 354 1.1× 434 1.5× 43 0.5× 227 2.9× 143 2.1× 21 695
Hedwig Stanisz Germany 7 179 0.6× 170 0.6× 55 0.7× 78 1.0× 70 1.0× 10 353
Daniel Bakowski United Kingdom 15 491 1.6× 494 1.7× 57 0.7× 280 3.5× 96 1.4× 22 787
Bettina Strauß Germany 7 323 1.0× 517 1.8× 35 0.4× 172 2.2× 60 0.9× 7 710
Yufang Tang China 9 364 1.2× 265 0.9× 40 0.5× 159 2.0× 30 0.4× 19 614
Mehdi Hammadi France 10 312 1.0× 107 0.4× 119 1.5× 59 0.7× 13 0.2× 11 536
Alexandre Bokhobza France 10 252 0.8× 273 0.9× 16 0.2× 93 1.2× 19 0.3× 13 480
Mizuka Iwatsubo United States 7 248 0.8× 102 0.4× 48 0.6× 58 0.7× 28 0.4× 8 357

Countries citing papers authored by Maylis Raphaël

Since Specialization
Citations

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

Fields of papers citing papers by Maylis Raphaël

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maylis Raphaël

This figure shows the co-authorship network connecting the top 25 collaborators of Maylis Raphaël. A scholar is included among the top collaborators of Maylis Raphaël 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 Maylis Raphaël. Maylis Raphaël is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sánchez‐Danés, Adriana, Sandrine Rorive, Maylis Raphaël, et al.. (2018). YAP and TAZ are essential for basal and squamous cell carcinoma initiation. EMBO Reports. 19(7). 70 indexed citations
2.
Gordienko, Dmitri, Oleksandr V. Povstyan, Maylis Raphaël, et al.. (2014). Impaired P2X signalling pathways in renal microvascular myocytes in genetic hypertension. Cardiovascular Research. 105(2). 131–142. 9 indexed citations
3.
Raphaël, Maylis, V’yacheslav Lehen’kyi, Matthieu Vandenberghe, et al.. (2014). TRPV6 calcium channel translocates to the plasma membrane via Orai1-mediated mechanism and controls cancer cell survival. Proceedings of the National Academy of Sciences. 111(37). E3870–9. 96 indexed citations
4.
Vandenberghe, Matthieu, Maylis Raphaël, V’yacheslav Lehen’kyi, et al.. (2013). ORAI1 calcium channel orchestrates skin homeostasis. Proceedings of the National Academy of Sciences. 110(50). E4839–48. 60 indexed citations
5.
Vanoverberghe, Karine, V’yacheslav Lehen’kyi, Stéphanie Thebault, et al.. (2012). Cytoskeleton Reorganization as an Alternative Mechanism of Store-Operated Calcium Entry Control in Neuroendocrine-Differentiated Cells. PLoS ONE. 7(9). e45615–e45615. 20 indexed citations
6.
Lehen’kyi, V’yacheslav, Maylis Raphaël, & Natalia Prevarskaya. (2012). The role of the TRPV6 channel in cancer. The Journal of Physiology. 590(6). 1369–1376. 89 indexed citations
7.
Lehen’kyi, V’yacheslav, Maylis Raphaël, Matthieu Flourakis, et al.. (2011). TRPV6 Determines the Effect of Vitamin D3 on Prostate Cancer Cell Growth. PLoS ONE. 6(2). e16856–e16856. 19 indexed citations
8.
Flourakis, Matthieu, V’yacheslav Lehen’kyi, Benjamin Beck, et al.. (2010). Orai1 contributes to the establishment of an apoptosis-resistant phenotype in prostate cancer cells. Cell Death and Disease. 1(9). e75–e75. 174 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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