Maéva Gesson

572 total citations
10 papers, 359 citations indexed

About

Maéva Gesson is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Maéva Gesson has authored 10 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Maéva Gesson's work include Hippo pathway signaling and YAP/TAZ (2 papers), Immune Cell Function and Interaction (2 papers) and Melanoma and MAPK Pathways (2 papers). Maéva Gesson is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (2 papers), Immune Cell Function and Interaction (2 papers) and Melanoma and MAPK Pathways (2 papers). Maéva Gesson collaborates with scholars based in France, United States and Belgium. Maéva Gesson's co-authors include Stéphane Rocchi, Rachid Benhida, Thierry Passeron, Anthony R. Martin, Pascal Dao, Robert Ballotti, Meri K. Tulić, Patricia Abbe, Guillaume E. Béranger and Christophe A. Girard and has published in prestigious journals such as Nature Communications, Cancer Research and Oncogene.

In The Last Decade

Maéva Gesson

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maéva Gesson France	8	159	158	126	54	48	10	359
Claire Barbieux France	9	141 0.9×	95 0.6×	34 0.3×	35 0.6×	34 0.7×	12	314
Paola Falletta United Kingdom	9	343 2.2×	107 0.7×	93 0.7×	110 2.0×	113 2.4×	14	455
Kate Hogan United Kingdom	4	237 1.5×	50 0.3×	64 0.5×	163 3.0×	103 2.1×	10	388
Jana V. Maier Germany	7	202 1.3×	32 0.2×	72 0.6×	79 1.5×	54 1.1×	9	342
Frans van Nieuwpoort Netherlands	5	183 1.2×	143 0.9×	46 0.4×	92 1.7×	12 0.3×	5	348
Hoai‐Nghia Nguyen Vietnam	10	232 1.5×	90 0.6×	45 0.4×	35 0.6×	39 0.8×	44	345
Shigeru Sugaya Japan	12	272 1.7×	65 0.4×	49 0.4×	80 1.5×	72 1.5×	33	403
Tigist Y. Tamir United States	10	355 2.2×	55 0.3×	40 0.3×	93 1.7×	51 1.1×	18	422
Murielle Glondu-Lassis France	5	289 1.8×	70 0.4×	72 0.6×	83 1.5×	124 2.6×	6	452
Emily Rodrigues Canada	9	356 2.2×	62 0.4×	222 1.8×	85 1.6×	13 0.3×	12	479

Countries citing papers authored by Maéva Gesson

Since Specialization

Citations

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

Fields of papers citing papers by Maéva Gesson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maéva Gesson

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

All Works

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10 of 10 papers shown

Gesson, Maéva, et al.. (2022). Developmental atlas of the indirect-developing sea urchin Paracentrotus lividus: From fertilization to juvenile stages. Frontiers in Cell and Developmental Biology. 10. 966408–966408. 14 indexed citations

Jaune, Emilie, Cyril Ronco, Patricia Abbe, et al.. (2021). Discovery of a new molecule inducing melanoma cell death: dual AMPK/MELK targeting for novel melanoma therapies. Cell Death and Disease. 12(1). 19 indexed citations

Chéli, Yann, Meri K. Tulić, Nicolas Nottet, et al.. (2021). Correction to: ITGBL1 is a new immunomodulator that favors development of melanoma tumors by inhibiting natural killer cells cytotoxicity. Molecular Cancer. 20(1). 21–21. 1 indexed citations

Girard, Christophe A., Ilona Berestjuk, Virginie Prod’homme, et al.. (2020). A Feed-Forward Mechanosignaling Loop Confers Resistance to Therapies Targeting the MAPK Pathway in BRAF-Mutant Melanoma. Cancer Research. 80(10). 1927–1941. 43 indexed citations

Torrino, Stéphanie, Maeva Dufies, Zied Djabari, et al.. (2019). PGC1α Inhibits Polyamine Synthesis to Suppress Prostate Cancer Aggressiveness. Cancer Research. 79(13). 3268–3280. 29 indexed citations

Tulić, Meri K., Yann Chéli, Arnaud Jacquel, et al.. (2019). Innate lymphocyte-induced CXCR3B-mediated melanocyte apoptosis is a potential initiator of T-cell autoreactivity in vitiligo. Nature Communications. 10(1). 2178–2178. 123 indexed citations

Rathore, Moeez, Christophe A. Girard, Mickaël Ohanna, et al.. (2019). Cancer cell-derived long pentraxin 3 (PTX3) promotes melanoma migration through a toll-like receptor 4 (TLR4)/NF-κB signaling pathway. Oncogene. 38(30). 5873–5889. 64 indexed citations

Torrino, Stéphanie, Thomas Bertero, Sabrina Pisano, et al.. (2019). UBTD1 is a mechano‐regulator controlling cancer aggressiveness. EMBO Reports. 20(4). 25 indexed citations

Dao, Pascal, et al.. (2018). Development of highly sensitive fluorescent probes for the detection of β-galactosidase activity – application to the real-time monitoring of senescence in live cells. The Analyst. 143(11). 2680–2688. 39 indexed citations

10.

Geinguenaud, Frédéric, Maéva Gesson, & Véronique Arluison. (2014). Thermodynamic aspects of the self-assembly of DsrA, a small noncoding RNA from Escherichia coli.. Acta Biochimica Polonica. 61(1). 179–84. 2 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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