Olivier Déas

3.1k total citations · 1 hit paper
40 papers, 1.5k citations indexed

About

Olivier Déas is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Olivier Déas has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 12 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Olivier Déas's work include Cancer Cells and Metastasis (7 papers), Cancer Research and Treatments (6 papers) and Immune Cell Function and Interaction (6 papers). Olivier Déas is often cited by papers focused on Cancer Cells and Metastasis (7 papers), Cancer Research and Treatments (6 papers) and Immune Cell Function and Interaction (6 papers). Olivier Déas collaborates with scholars based in France, United Kingdom and Italy. Olivier Déas's co-authors include A Senik, François Hirsch, Dan Xie, Liangping Xia, Feng Wang, Jing‐Ping Yun, Feng‐Wei Wang, Rixin Chen, Rui‐Hua Xu and Zhizhong Pan and has published in prestigious journals such as Nature Communications, Blood and Molecular Cell.

In The Last Decade

Olivier Déas

37 papers receiving 1.5k citations

Hit Papers

N6-methyladenosine modification of circNSUN2 facilitates ... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers

Olivier Déas
Jessica L. Bell Australia
Rick Jordan United States
Carl Y. Sasaki United States
Alexander Federation United States
Amos M. Sakwe United States
Kaihong Su United States
Stephanie H. Kim United States
Jessica L. Bell Australia
Olivier Déas
Citations per year, relative to Olivier Déas Olivier Déas (= 1×) peers Jessica L. Bell

Countries citing papers authored by Olivier Déas

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Déas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Déas

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Déas. A scholar is included among the top collaborators of Olivier Déas 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 Olivier Déas. Olivier Déas 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.
Bisio, Valéria, Olivier Déas, Charlotte Mussini, et al.. (2024). Modelling the impact of liver regeneration on hepatoblastoma patient-derived-xenograft tumor growth. Pediatric Research. 96(3). 668–677.
2.
Faugeroux, Vincent, Marianne Oulhen, Olivier Déas, et al.. (2022). Targeting genome integrity dysfunctions impedes metastatic potency in non–small cell lung cancer circulating tumor cell–derived explants. JCI Insight. 7(11). 10 indexed citations
3.
Chen, Rixin, Xin Chen, Liangping Xia, et al.. (2019). N6-methyladenosine modification of circNSUN2 facilitates cytoplasmic export and stabilizes HMGA2 to promote colorectal liver metastasis. Nature Communications. 10(1). 4695–4695. 537 indexed citations breakdown →
4.
Barbier, Jérôme, Xin Chen, Gabriel Sanchez, et al.. (2018). An NF90/NF110-mediated feedback amplification loop regulates dicer expression and controls ovarian carcinoma progression. Cell Research. 28(5). 556–571. 27 indexed citations
5.
Faugeroux, Vincent, Emma Pailler, Olivier Déas, et al.. (2018). Abstract 5600: Establishment and characterization of a unique circulating tumor cells-derived xenograft (CDX) in prostate cancer. Cancer Research. 78(13_Supplement). 5600–5600.
6.
Schuller, Alwin G., Evan Barry, Rhys D.O. Jones, et al.. (2015). The MET Inhibitor AZD6094 (Savolitinib, HMPL-504) Induces Regression in Papillary Renal Cell Carcinoma Patient–Derived Xenograft Models. Clinical Cancer Research. 21(12). 2811–2819. 57 indexed citations
7.
Legrier, Marie‐Emmanuelle, Ivan Bièche, Olivier Déas, et al.. (2015). Activation of IFN/STAT1 signalling predicts response to chemotherapy in oestrogen receptor-negative breast cancer. British Journal of Cancer. 114(2). 177–187. 64 indexed citations
8.
Cairo, Stefano, et al.. (2014). 174 Combination of molecular and drug response data in patient-derived xenografts to assist patient stratification. European Journal of Cancer. 50. 58–58. 1 indexed citations
9.
Yatim, Ahmad, Clarisse Benne, Bijan Sobhian, et al.. (2012). NOTCH1 Nuclear Interactome Reveals Key Regulators of Its Transcriptional Activity and Oncogenic Function. Molecular Cell. 48(3). 445–458. 154 indexed citations
10.
Briand, Jean Paul, Olivier Chaloin, Mathieu Porceddu, et al.. (2009). A flavivirus protein M-derived peptide directly permeabilizes mitochondrial membranes, triggers cell death and reduces human tumor growth in nude mice. APOPTOSIS. 14(10). 1190–1203. 11 indexed citations
11.
Borgne‐Sanchez, Annie, Sylvain Dupont, Alain Langonné, et al.. (2006). Targeted Vpr-derived peptides reach mitochondria to induce apoptosis of αVβ3-expressing endothelial cells. Cell Death and Differentiation. 14(3). 422–435. 41 indexed citations
12.
Déas, Olivier, Gilles Vassal, Antoine Dürrbach, et al.. (2003). Potentiation of tumour apoptosis by human growth hormone via glutathione production and decreased NF-κB activity. British Journal of Cancer. 89(6). 1108–1115. 10 indexed citations
13.
Dumont, Céline, Olivier Déas, Antoine Dürrbach, et al.. (2001). Targeting additional costimulatory pathways: a subtle role for CD2. Transplantation Proceedings. 33(1-2). 199–200. 3 indexed citations
14.
Haeffner, A, Olivier Déas, Bertrand Mollereau, et al.. (1999). Growth hormone prevents human monocytic cells from Fas-mediated apoptosis by up-regulating Bcl-2 expression. European Journal of Immunology. 29(1). 334–344. 43 indexed citations
15.
Déas, Olivier, Céline Dumont, Marion MacFarlane, et al.. (1998). Caspase-Independent Cell Death Induced by Anti-CD2 or Staurosporine in Activated Human Peripheral T Lymphocytes. The Journal of Immunology. 161(7). 3375–3383. 150 indexed citations
16.
Dumont, Céline, Olivier Déas, Bertrand Mollereau, et al.. (1998). Potent Apoptotic Signaling and Subsequent Unresponsiveness Induced by a Single CD2 mAb (BTI-322) in Activated Human Peripheral T Cells. The Journal of Immunology. 160(8). 3797–3804. 22 indexed citations
18.
Haeffner, A, Nathalie Thiéblemont, Olivier Déas, et al.. (1997). Inhibitory effect of growth hormone on TNF-α secretion and nuclear factor-kappaB translocation in lipopolysaccharide-stimulated human monocytes. The Journal of Immunology. 158(3). 1310–1314. 53 indexed citations
19.
Déas, Olivier. (1997). Thiol-mediated inhibition of FAS and CD2 apoptotic signaling in activated human peripheral T cells. International Immunology. 9(1). 117–125. 69 indexed citations
20.
Mollereau, Bertrand, Marcel Deckert, Olivier Déas, et al.. (1996). CD2-induced apoptosis in activated human peripheral T cells: a Fas-independent pathway that requires early protein tyrosine phosphorylation. The Journal of Immunology. 156(9). 3184–3190. 53 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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