Jean‐François Ramée

1.8k total citations
15 papers, 460 citations indexed

About

Jean‐François Ramée is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Jean‐François Ramée has authored 15 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jean‐François Ramée's work include Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (7 papers) and Gastric Cancer Management and Outcomes (3 papers). Jean‐François Ramée is often cited by papers focused on Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (7 papers) and Gastric Cancer Management and Outcomes (3 papers). Jean‐François Ramée collaborates with scholars based in France, Canada and Switzerland. Jean‐François Ramée's co-authors include Philippe Moreau, Nöel Milpied, Jean‐Luc Harousseau, Dimitris Visvikis, Ulrike Schick, Ingrid Masson, François Lucia, Ronrick Da‐ano, Mathieu Hatt and J. Castelli and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Scientific Reports.

In The Last Decade

Jean‐François Ramée

15 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐François Ramée France 9 160 149 109 82 77 15 460
Carmine Picone Italy 10 214 1.3× 163 1.1× 146 1.3× 18 0.2× 35 0.5× 36 445
Yakun Wang China 11 147 0.9× 42 0.3× 114 1.0× 98 1.2× 44 0.6× 27 487
Shufeng Xu China 10 68 0.4× 98 0.7× 34 0.3× 56 0.7× 73 0.9× 18 299
Trishe Leong Australia 13 103 0.6× 52 0.3× 52 0.5× 69 0.8× 38 0.5× 26 489
Rajyasree Emmadi United States 12 110 0.7× 38 0.3× 55 0.5× 28 0.3× 110 1.4× 32 463
Marie-Jeanne T.F.D. Vrancken Peeters Netherlands 9 89 0.6× 165 1.1× 39 0.4× 17 0.2× 117 1.5× 10 383
Tobias Paul Seraphin Germany 8 102 0.6× 145 1.0× 83 0.8× 9 0.1× 67 0.9× 12 429
Hye Eun Park South Korea 11 277 1.7× 64 0.4× 71 0.7× 42 0.5× 60 0.8× 30 499
Zhiyuan Bo China 13 142 0.9× 67 0.4× 99 0.9× 15 0.2× 64 0.8× 33 463
Jun-Sang Kim South Korea 14 493 3.1× 75 0.5× 156 1.4× 60 0.7× 49 0.6× 26 792

Countries citing papers authored by Jean‐François Ramée

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐François Ramée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐François Ramée. 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 Jean‐François Ramée. The network helps show where Jean‐François Ramée may publish in the future.

Co-authorship network of co-authors of Jean‐François Ramée

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

All Works

15 of 15 papers shown
1.
Masson, Ingrid, Ronrick Da‐ano, François Lucia, et al.. (2021). Statistical harmonization can improve the development of a multicenter CT‐based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers. Medical Physics. 48(7). 4099–4109. 17 indexed citations
2.
Da‐ano, Ronrick, Ingrid Masson, François Lucia, et al.. (2020). Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies. Scientific Reports. 10(1). 10248–10248. 134 indexed citations
3.
Jouve, Jean–Louis, Thierry Lecomte, Olivier Bouché, et al.. (2019). Pravastatin combination with sorafenib does not improve survival in advanced hepatocellular carcinoma. Journal of Hepatology. 71(3). 516–522. 82 indexed citations
4.
5.
Cabart, Mathilde, Jean‐Sébastien Frenel, L. Campion, et al.. (2016). Le statut KRAS n’influence pas l’efficacité de l’oxaliplatine ou de l’irinotécan, en association au bévacizumab, dans le traitement de première ligne du cancer colorectal métastatique. Bulletin du Cancer. 103(6). 541–551. 4 indexed citations
6.
Cabart, Mathilde, Jean‐Sébastien Frenel, L. Campion, et al.. (2016). Bevacizumab Efficacy Is Influenced by Primary Tumor Resection in First-Line Treatment of Metastatic Colorectal Cancer in a Retrospective Multicenter Study. Clinical Colorectal Cancer. 15(4). e165–e174. 8 indexed citations
7.
Tournigand, Christophe, Benoist Chibaudel, Benoît Samson, et al.. (2015). Improving safety in first-line metastatic colorectal cancer (MCRC) therapy with bevacizumab: Modified FOLFOX7 versus XELOX2—Results of the induction phase of the GERCOR DREAM randomized phase III study.. Journal of Clinical Oncology. 33(3_suppl). 670–670. 4 indexed citations
8.
Bossard, Céline, Sébastien Küry, Hélène Senellart, et al.. (2012). Delineation of the infrequent mosaicism of KRAS mutational status in metastatic colorectal adenocarcinomas. Journal of Clinical Pathology. 65(5). 466–469. 15 indexed citations
9.
Metges, J-P., Jean‐François Ramée, Olivier Dupuis, et al.. (2012). Panerb Study: Which Category of Patients, Suffering from Metastatic Colorectal Cancer, Can Benefit From Panitumumab Treatment After Cetuximab-Based Regimen Failure?. Annals of Oncology. 23. ix196–ix196. 2 indexed citations
10.
Metges, J-P., Jean‐François Ramée, Jean‐Luc Raoul, et al.. (2011). What is the benefit for patients suffering from metastatic colorectal cancer (mCRC) after bevacizumab-based regimen (BBR), cetuximab-based regimen (CBR), and panitumumab (P)?. Journal of Clinical Oncology. 29(4_suppl). 595–595. 3 indexed citations
11.
Metges, J-P., Jean‐Luc Raoul, Olivier Capitain, et al.. (2010). PANERB study: Panitumumab after cetuximab-based regimen failure.. Journal of Clinical Oncology. 28(15_suppl). e14000–e14000. 33 indexed citations
12.
Lortholary, Alain, et al.. (2007). Lupus induit par le paclitaxel. La Presse Médicale. 36(9). 1207–1208. 9 indexed citations
13.
Milpied, Nöel, T. Lamy, Philippe Casassus, et al.. (2004). Front-Line High-Dose Chemotherapy (HDT) Combined with Rituximab for Adults with Aggressive Large B-Cell Lymphoma (DLBCL) : Goelams 074 Trial.. Blood. 104(11). 902–902. 2 indexed citations
14.
Delva, R., D. Serin, M. Namer, et al.. (1995). 378 Taxol® (paclitaxel) 225mg/m2 by 3-hour infusion without G-CSF as a second line therapy in patients (PTS) with metastatic breast cancer (MBC). European Journal of Cancer. 31. S82–S82. 7 indexed citations
15.
Moreau, Philippe, et al.. (1992). Reduced renal toxicity and improved clinical tolerance of amphotericin B mixed with Intralipid compared with conventional amphotericin B in neotropenic patients. Journal of Antimicrobial Chemotherapy. 30(4). 535–541. 98 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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