Ophélie Meynet

608 total citations
9 papers, 449 citations indexed

About

Ophélie Meynet is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Ophélie Meynet has authored 9 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Immunology. Recurrent topics in Ophélie Meynet's work include Immunotherapy and Immune Responses (2 papers), Molecular Biology Techniques and Applications (2 papers) and Immune Cell Function and Interaction (2 papers). Ophélie Meynet is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Molecular Biology Techniques and Applications (2 papers) and Immune Cell Function and Interaction (2 papers). Ophélie Meynet collaborates with scholars based in France, Italy and Australia. Ophélie Meynet's co-authors include Jean‐Ehrland Ricci, Barbara Zunino, Johanna Chiche, Michel Carlès, Marie Bénéteau, Sandrine Marchetti, Ludivine A. Pradelli, Laura Mondragón, Sébastien Pommier and Elodie Villa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Cancer Research.

In The Last Decade

Ophélie Meynet

9 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ophélie Meynet France 8 224 130 81 74 73 9 449
E Raskopf Germany 16 297 1.3× 153 1.2× 100 1.2× 66 0.9× 100 1.4× 40 636
Yong‐Mei Guo Japan 11 283 1.3× 185 1.4× 52 0.6× 120 1.6× 130 1.8× 28 543
Petra Laspe Germany 14 325 1.5× 109 0.8× 104 1.3× 27 0.4× 79 1.1× 19 564
Sabrina De Carolis Italy 16 366 1.6× 234 1.8× 102 1.3× 102 1.4× 74 1.0× 19 618
Maoyun Sun United States 15 373 1.7× 73 0.6× 88 1.1× 128 1.7× 60 0.8× 21 543
Sally A. Nicholas United Kingdom 10 270 1.2× 94 0.7× 51 0.6× 124 1.7× 40 0.5× 12 426
Martin Serrano-Sanchez France 9 233 1.0× 115 0.9× 52 0.6× 78 1.1× 37 0.5× 9 448
Meritxell Reverter Australia 9 420 1.9× 149 1.1× 64 0.8× 73 1.0× 64 0.9× 9 547
Welbert Oliveira Pereira Brazil 10 194 0.9× 91 0.7× 70 0.9× 95 1.3× 87 1.2× 18 404
Shi‐Juan Mai China 15 375 1.7× 225 1.7× 133 1.6× 57 0.8× 39 0.5× 32 572

Countries citing papers authored by Ophélie Meynet

Since Specialization
Citations

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

Fields of papers citing papers by Ophélie Meynet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ophélie Meynet

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

All Works

9 of 9 papers shown
1.
Villa, Elodie, et al.. (2020). The E3 ligase UBR2 regulates cell death under caspase deficiency via Erk/MAPK pathway. Cell Death and Disease. 11(12). 1041–1041. 7 indexed citations
2.
Zunino, Barbara, Camila Rubio‐Patiño, Elodie Villa, et al.. (2015). Hyperthermic intraperitoneal chemotherapy leads to an anticancer immune response via exposure of cell surface heat shock protein 90. Oncogene. 35(2). 261–268. 52 indexed citations
3.
Chiche, Johanna, Sébastien Pommier, Marie Bénéteau, et al.. (2014). GAPDH enhances the aggressiveness and the vascularization of non-Hodgkin’s B lymphomas via NF-κB-dependent induction of HIF-1α. Leukemia. 29(5). 1163–1176. 48 indexed citations
4.
Meynet, Ophélie & Jean‐Ehrland Ricci. (2014). Caloric restriction and cancer: molecular mechanisms and clinical implications. Trends in Molecular Medicine. 20(8). 419–427. 97 indexed citations
5.
Chiche, Johanna, Barbara Zunino, Marie Bénéteau, et al.. (2013). GAPDH binds to active Akt, leading to Bcl-xL increase and escape from caspase-independent cell death. Cell Death and Differentiation. 20(8). 1043–1054. 51 indexed citations
6.
Meynet, Ophélie, Barbara Zunino, Lina Happo, et al.. (2013). Caloric restriction modulates Mcl-1 expression and sensitizes lymphomas to BH3 mimetic in mice. Blood. 122(14). 2402–2411. 43 indexed citations
7.
Bénéteau, Marie, Barbara Zunino, Ophélie Meynet, et al.. (2012). Combination of glycolysis inhibition with chemotherapy results in an antitumor immune response. Proceedings of the National Academy of Sciences. 109(49). 20071–20076. 89 indexed citations
8.
Meynet, Ophélie, Katia Scotlandi, Maria Cristina Manara, et al.. (2010). Xg Expression in Ewing's Sarcoma Is of Prognostic Value and Contributes to Tumor Invasiveness. Cancer Research. 70(9). 3730–3738. 20 indexed citations
9.
Meynet, Ophélie, Mélanie Tichet, Katia Scotlandi, et al.. (2008). Regulation of HLA class I surface expression requires CD99 and p230/golgin-245 interaction. Blood. 113(2). 347–357. 42 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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