Edwige Abeilard

850 total citations
17 papers, 651 citations indexed

About

Edwige Abeilard is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Edwige Abeilard has authored 17 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Edwige Abeilard's work include Cell death mechanisms and regulation (8 papers), Cancer Mechanisms and Therapy (3 papers) and MicroRNA in disease regulation (3 papers). Edwige Abeilard is often cited by papers focused on Cell death mechanisms and regulation (8 papers), Cancer Mechanisms and Therapy (3 papers) and MicroRNA in disease regulation (3 papers). Edwige Abeilard collaborates with scholars based in France and Luxembourg. Edwige Abeilard's co-authors include Pascal Gauduchon, Laurent Poulain, Mariette Mercier, Michel Velten, Delphine Klein, Émilie Brotin, Florence Giffard, Christophe Denoyelle, Anne‐Valérie Guizard and Bernard Lambert and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Cancer and International Journal of Pharmaceutics.

In The Last Decade

Edwige Abeilard

17 papers receiving 640 citations

Peers

Edwige Abeilard
Niya Xiong United States
Jessica Clague United States
Annie Tan United States
Sung Min Yoon South Korea
Radhika Gogoi United States
Daniel Boehm Germany
Niya Xiong United States
Edwige Abeilard
Citations per year, relative to Edwige Abeilard Edwige Abeilard (= 1×) peers Niya Xiong

Countries citing papers authored by Edwige Abeilard

Since Specialization
Citations

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

Fields of papers citing papers by Edwige Abeilard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edwige Abeilard

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

All Works

17 of 17 papers shown
1.
Ahmad, Mohammad, Pierre‐Marie Morice, Bernard Lambert, et al.. (2021). The lncRNA ‘UCA1’ modulates the response to chemotherapy of ovarian cancer through direct binding to miR‐27a‐5p and control of UBE2N levels. Molecular Oncology. 15(12). 3659–3678. 32 indexed citations
2.
Meryet‐Figuière, Matthieu, Mégane Vernon, Mamy Andrianteranagna, et al.. (2021). Network-Based Integration of Multi-Omics Data Identifies the Determinants of miR-491-5p Effects. Cancers. 13(16). 3970–3970. 2 indexed citations
3.
Vernon, Mégane, Bernard Lambert, Matthieu Meryet‐Figuière, et al.. (2020). Functional miRNA Screening Identifies Wide-ranging Antitumor Properties of miR-3622b-5p and Reveals a New Therapeutic Combination Strategy in Ovarian Tumor Organoids. Molecular Cancer Therapeutics. 19(7). 1506–1519. 23 indexed citations
4.
Weiswald, Louis‐Bastien, Bernard Lambert, Émilie Brotin, et al.. (2020). Bim, Puma and Noxa upregulation by Naftopidil sensitizes ovarian cancer to the BH3-mimetic ABT-737 and the MEK inhibitor Trametinib. Cell Death and Disease. 11(5). 380–380. 26 indexed citations
5.
Lenoir, Sophie, Bernard Lambert, Edwige Abeilard, et al.. (2018). Inhibition of store-operated channels by carboxyamidotriazole sensitizes ovarian carcinoma cells to anti-BclxL strategies through Mcl-1 down-regulation. Oncotarget. 9(74). 33896–33911. 17 indexed citations
6.
Louis, Marie-Hélène, Edwige Abeilard, Christophe Denoyelle, et al.. (2016). The mTORC1/2 Inhibitor AZD8055 Strengthens the Efficiency of the MEK Inhibitor Trametinib to Reduce the Mcl-1/[Bim and Puma] ratio and to Sensitize Ovarian Carcinoma Cells to ABT-737. Molecular Cancer Therapeutics. 16(1). 102–115. 37 indexed citations
7.
Lambert, Bernard, Florence Giffard, Edwige Abeilard, et al.. (2015). Calcium signals inhibition sensitizes ovarian carcinoma cells to anti-Bcl-xL strategies through Mcl-1 down-regulation. APOPTOSIS. 20(4). 535–550. 21 indexed citations
8.
Villedieu, Marie, Émilie Brotin, Marie-Hélène Louis, et al.. (2014). PI3K/mTOR dual inhibitor NVP-BEZ235 decreases Mcl-1 expression and sensitizes ovarian carcinoma cells to Bcl-xL-targeting strategies, provided that Bim expression is induced. Cancer Letters. 348(1-2). 38–49. 43 indexed citations
9.
Denoyelle, Christophe, Bernard Lambert, Matthieu Meryet‐Figuière, et al.. (2014). miR-491-5p-induced apoptosis in ovarian carcinoma depends on the direct inhibition of both BCL-XL and EGFR leading to BIM activation. Cell Death and Disease. 5(10). e1445–e1445. 92 indexed citations
10.
Lheureux, Stéphanie, Monique N’Diaye, Cécile Blanc‐Fournier, et al.. (2014). Identification of predictive factors of response to the BH3‐mimetic molecule ABT‐737: An ex vivo experiment in human serous ovarian carcinoma. International Journal of Cancer. 136(5). E340–50. 21 indexed citations
11.
Lheureux, Stéphanie, Monique N’Diaye, Cécile Blanc‐Fournier, et al.. (2014). Identification of predictive factors of response to the BH3-mimetic molecule ABT-737: An ex vivo experiment in human serous ovarian carcinoma.. Journal of Clinical Oncology. 32(15_suppl). 5577–5577. 4 indexed citations
12.
Malzert‐Fréon, Aurélie, Florence Giffard, Émilie Brotin, et al.. (2013). Sensitization of ovarian carcinoma cells to Bcl-xL-targeting strategies through indirect modulation of Mcl-1 activity by MR22388, a molecule of the tripentone family. Journal of Ovarian Research. 6(1). 38–38. 4 indexed citations
13.
Abeilard, Edwige, Florence Giffard, Franck Carreiras, et al.. (2013). Rapid and soft formulation of folate-functionalized nanoparticles for the targeted delivery of tripentone in ovarian carcinoma. International Journal of Pharmaceutics. 458(1). 197–207. 16 indexed citations
14.
Mercier, Mariette, Anne‐Sophie Woronoff, Anne‐Valérie Guizard, et al.. (2012). Quality of life in long-term cervical cancer survivors: A population-based study. Gynecologic Oncology. 129(1). 222–228. 92 indexed citations
15.
Klein, Delphine, Mariette Mercier, Edwige Abeilard, et al.. (2011). Long-term quality of life after breast cancer: a French registry-based controlled study. Breast Cancer Research and Treatment. 129(1). 125–134. 84 indexed citations
16.
Launoy, Guy, Delphine Klein, M. Henry‐Amar, et al.. (2011). Health-Related Quality of Life Among Long-Term Survivors of Colorectal Cancer: A Population-Based Study. The Oncologist. 16(11). 1626–1636. 79 indexed citations
17.
Denoyelle, Christophe, Émilie Brotin, Matthieu Meryet‐Figuière, et al.. (2010). Downregulation of Bcl-x L and Mcl-1 is sufficient to induce cell death in mesothelioma cells highly refractory to conventional chemotherapy. Carcinogenesis. 31(6). 984–993. 58 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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