Raphaêl Lis

548 total citations
10 papers, 448 citations indexed

About

Raphaêl Lis is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Raphaêl Lis has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Raphaêl Lis's work include Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Raphaêl Lis is often cited by papers focused on Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). Raphaêl Lis collaborates with scholars based in United States, Qatar and France. Raphaêl Lis's co-authors include Arash Rafii, Joel A. Malek, Cyril Touboul, Christophe M. Raynaud, Denis Querleu, Massoud Mirshahi, Mahtab Maleki, P. Mirshahi, Eman K. Al‐Azwani and Karsten Suhre and has published in prestigious journals such as Nature Immunology, PLoS ONE and International Journal of Cancer.

In The Last Decade

Raphaêl Lis

10 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raphaêl Lis United States	9	213	207	168	101	76	10	448
Aasmund Berner Norway	7	127 0.6×	171 0.8×	138 0.8×	38 0.4×	45 0.6×	7	354
Ileana Bortolomai Italy	17	283 1.3×	246 1.2×	84 0.5×	28 0.3×	67 0.9×	20	586
Hiromi Kanno Japan	13	254 1.2×	112 0.5×	175 1.0×	144 1.4×	17 0.2×	31	619
Huda I. Atiya United States	8	175 0.8×	258 1.2×	114 0.7×	53 0.5×	19 0.3×	11	491
Joshua T. Eggold United States	6	115 0.5×	109 0.5×	63 0.4×	26 0.3×	34 0.4×	8	286
Hua Linghu China	13	251 1.2×	105 0.5×	91 0.5×	15 0.1×	59 0.8×	34	415
Rika Okamoto Japan	9	156 0.7×	170 0.8×	38 0.2×	42 0.4×	66 0.9×	14	469
Marta Bellone Italy	11	147 0.7×	243 1.2×	45 0.3×	21 0.2×	76 1.0×	18	446
Karen Gambaro Canada	11	266 1.2×	114 0.6×	65 0.4×	27 0.3×	29 0.4×	18	384
Radhika Mathur United States	10	445 2.1×	137 0.7×	99 0.6×	50 0.5×	21 0.3×	26	575

Countries citing papers authored by Raphaêl Lis

Since Specialization

Citations

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

Fields of papers citing papers by Raphaêl Lis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaêl Lis

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaêl Lis. A scholar is included among the top collaborators of Raphaêl Lis 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 Raphaêl Lis. Raphaêl Lis 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

Adoro, Stanley, Kwang Hwan Park, Sarah E. Bettigole, et al.. (2017). Post-translational control of T cell development by the ESCRT protein CHMP5. Nature Immunology. 18(7). 780–790. 30 indexed citations

Lis, Raphaêl, Cyril Touboul, Najeeb Halabi, et al.. (2014). Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile. Journal of Translational Medicine. 12(1). 59–59. 28 indexed citations

Bonneau, Claire, Roman Rouzier, A. Cortez, et al.. (2014). Predictive markers of chemoresistance in advanced stages epithelial ovarian carcinoma. Gynecologic Oncology. 136(1). 112–120. 47 indexed citations

Touboul, Cyril, Fabien Vidal, Jennifer Pasquier, Raphaêl Lis, & Arash Rafii. (2014). Role of mesenchymal cells in the natural history of ovarian cancer: a review. Journal of Translational Medicine. 12(1). 271–271. 25 indexed citations

Lis, Raphaêl, Cyril Touboul, Christophe M. Raynaud, et al.. (2012). Mesenchymal Cell Interaction with Ovarian Cancer Cells Triggers Pro-Metastatic Properties. PLoS ONE. 7(5). e38340–e38340. 38 indexed citations

Raynaud, Christophe M., Mahtab Maleki, Raphaêl Lis, et al.. (2012). Comprehensive Characterization of Mesenchymal Stem Cells from Human Placenta and Fetal Membrane and Their Response to Osteoactivin Stimulation. Stem Cells International. 2012. 1–13. 64 indexed citations

Malek, Joel A., Eliane Mery-Lamarche, Eman K. Al‐Azwani, et al.. (2011). Copy Number Variation Analysis of Matched Ovarian Primary Tumors and Peritoneal Metastasis. PLoS ONE. 6(12). e28561–e28561. 40 indexed citations

Lis, Raphaêl, Cyril Touboul, P. Mirshahi, et al.. (2010). Tumor associated mesenchymal stem cells protects ovarian cancer cells from hyperthermia through CXCL12. International Journal of Cancer. 128(3). 715–725. 90 indexed citations

Rafii, Arash, et al.. (2010). Tumor associated mesenchymal stem cells protect ovarian cancer cells from hyperthermia through CXCL12. BMPS12–BMPS12. 1 indexed citations

10.

Rafii, Arash, P. Mirshahi, Mary Poupot, et al.. (2008). Oncologic Trogocytosis of an Original Stromal Cells Induces Chemoresistance of Ovarian Tumours. PLoS ONE. 3(12). e3894–e3894. 85 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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