Marion Rubis

1.3k total citations
8 papers, 448 citations indexed

About

Marion Rubis is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Marion Rubis has authored 8 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Marion Rubis's work include Pancreatic and Hepatic Oncology Research (6 papers), Cancer Cells and Metastasis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Marion Rubis is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Cancer Cells and Metastasis (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Marion Rubis collaborates with scholars based in France, Italy and Argentina. Marion Rubis's co-authors include Juan Iovanna, Julie Roques, Richard Tomasini, Stéphane Garcia, Dominique Lombardo, Véronique Secq, Marie‐Noëlle Lavaut, Vincent Moutardier, Sophie Vasseur and Fabienne Guillaumond and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The FASEB Journal.

In The Last Decade

Marion Rubis

8 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marion Rubis France	7	237	227	200	79	55	8	448
Julie Leca France	5	305 1.3×	226 1.0×	267 1.3×	80 1.0×	44 0.8×	5	518
Weiyu Ge China	9	324 1.4×	173 0.8×	181 0.9×	79 1.0×	30 0.5×	20	502
Kelly E. Craven United States	9	233 1.0×	204 0.9×	125 0.6×	61 0.8×	44 0.8×	15	441
Nicole P. Ho Hong Kong	6	265 1.1×	137 0.6×	213 1.1×	65 0.8×	31 0.6×	9	453
Fumihiko Kakizaki Japan	9	322 1.4×	215 0.9×	137 0.7×	71 0.9×	37 0.7×	17	517
Bowie Y. Cheng Hong Kong	6	306 1.3×	229 1.0×	187 0.9×	199 2.5×	41 0.7×	9	600
Tamer Yağcı Türkiye	13	357 1.5×	274 1.2×	162 0.8×	38 0.5×	45 0.8×	32	550
Patrick Reichl Austria	5	232 1.0×	151 0.7×	76 0.4×	114 1.4×	43 0.8×	6	405
Agnes Csiszar Austria	8	205 0.9×	227 1.0×	92 0.5×	108 1.4×	23 0.4×	12	428
Maojia Zhao China	5	324 1.4×	178 0.8×	268 1.3×	76 1.0×	24 0.4×	5	491

Countries citing papers authored by Marion Rubis

Since Specialization

Citations

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

Fields of papers citing papers by Marion Rubis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Rubis

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Borrello, María Teresa, Maria Rita Emma, Angela Listì, et al.. (2021). NUPR1 protects liver from lipotoxic injury by improving the endoplasmic reticulum stress response. The FASEB Journal. 35(3). e21395–e21395. 12 indexed citations

Kaoutari, Abdessamad El, Françoise Silvy, Marion Rubis, et al.. (2021). A glycosyltransferase gene signature to detect pancreatic ductal adenocarcinoma patients with poor prognosis. EBioMedicine. 71. 103541–103541. 31 indexed citations

Finetti, Pascal, Marion Rubis, Jonathan A. Nowak, et al.. (2021). LDL receptor-peptide conjugate as in vivo tool for specific targeting of pancreatic ductal adenocarcinoma. Communications Biology. 4(1). 987–987. 13 indexed citations

Soubeyran, Philippe, Stéphane Audebert, Luc Camoin, et al.. (2021). TNF-α induces endothelial–mesenchymal transition promoting stromal development of pancreatic adenocarcinoma. Cell Death and Disease. 12(7). 649–649. 57 indexed citations

Guilbaud, Théophile, Noémie Resseguier, Émilie Mamessier, et al.. (2020). Prognostic impact of tumour-infiltrating lymphocytes and cancer-associated fibroblasts in patients with pancreatic adenocarcinoma of the body and tail undergoing resection. British journal of surgery. 107(6). 720–733. 8 indexed citations

Siret, Carole, Աննա Մարտիրոսյան, Chloé Terciolo, et al.. (2017). Cadherin-1 and cadherin-3 cooperation determines the aggressiveness of pancreatic ductal adenocarcinoma. British Journal of Cancer. 118(4). 546–557. 17 indexed citations

Olivares, O. Porta, Jared R. Mayers, Victoire Gouirand, et al.. (2017). Collagen-derived proline promotes pancreatic ductal adenocarcinoma cell survival under nutrient limited conditions. Nature Communications. 8(1). 16031–16031. 309 indexed citations

Secq, Véronique, Julien Mancini, Yves Patrice Le Treut, et al.. (2014). Prognostic factors of response to adjuvant chemotherapy after curative resection for pancreatic ductal adenocarcinoma: Prognostic impact of CDA, predictive value of DPD for 5FU efficiency, and hENT1 for gemcitabine.. Journal of Clinical Oncology. 32(15_suppl). e15191–e15191. 1 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.

Explore authors with similar magnitude of impact