Emmanuel Quinaux

6.9k total citations · 2 hit papers
37 papers, 4.9k citations indexed

About

Emmanuel Quinaux is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Emmanuel Quinaux has authored 37 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 14 papers in Cancer Research and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Emmanuel Quinaux's work include Colorectal Cancer Treatments and Studies (14 papers), Cancer Treatment and Pharmacology (13 papers) and Breast Cancer Treatment Studies (10 papers). Emmanuel Quinaux is often cited by papers focused on Colorectal Cancer Treatments and Studies (14 papers), Cancer Treatment and Pharmacology (13 papers) and Breast Cancer Treatment Studies (10 papers). Emmanuel Quinaux collaborates with scholars based in Belgium, France and United States. Emmanuel Quinaux's co-authors include Marc Buyse, Thierry André, Aimery de Gramont, Gérard Lledo, Emmanuel Achille, Christophe Louvet, Christophe Tournigand, D. Méry-Mignard, G. Ganem and Bruno Landi and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Cancer Research.

In The Last Decade

Emmanuel Quinaux

37 papers receiving 4.8k citations

Hit Papers

FOLFIRI Followed by FOLFO... 2003 2026 2010 2018 2003 2013 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Quinaux Belgium 18 4.2k 1.3k 1.1k 768 656 37 4.9k
Erika Hitre Hungary 21 4.4k 1.0× 1.5k 1.1× 811 0.7× 985 1.3× 809 1.2× 60 5.5k
Bruce J. Giantonio United States 31 3.4k 0.8× 1.6k 1.2× 959 0.9× 748 1.0× 1.3k 1.9× 124 5.0k
Claus‐Henning Köhne Germany 27 3.1k 0.7× 1.2k 0.9× 1.1k 1.0× 613 0.8× 763 1.2× 75 4.3k
Mark Kozloff United States 36 3.2k 0.8× 1.7k 1.3× 454 0.4× 702 0.9× 1.3k 2.0× 125 4.7k
Allen Lee Cohn United States 38 4.7k 1.1× 2.4k 1.8× 1.2k 1.1× 1.3k 1.6× 1.5k 2.4× 159 6.9k
Dominik Paul Modest Germany 36 3.5k 0.8× 1.6k 1.2× 900 0.8× 812 1.1× 620 0.9× 206 4.4k
Guy van Hazel Australia 26 3.7k 0.9× 1.8k 1.4× 1.1k 1.0× 894 1.2× 446 0.7× 66 5.2k
Dirk Arnold Germany 17 2.9k 0.7× 921 0.7× 614 0.6× 1.1k 1.4× 859 1.3× 108 4.1k
M. Mueser France 10 3.8k 0.9× 1.9k 1.5× 779 0.7× 464 0.6× 795 1.2× 18 4.5k
Rafael G. Amado United States 21 5.0k 1.2× 2.3k 1.8× 1.4k 1.2× 1.1k 1.4× 1.2k 1.8× 57 6.7k

Countries citing papers authored by Emmanuel Quinaux

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Quinaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Quinaux

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Quinaux. A scholar is included among the top collaborators of Emmanuel Quinaux 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 Emmanuel Quinaux. Emmanuel Quinaux 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.
Quinaux, Emmanuel, et al.. (2023). Minimization in randomized clinical trials. Statistics in Medicine. 42(28). 5285–5311. 10 indexed citations
2.
Saad, Everardo D., Pierre Squifflet, Tomasz Burzykowski, et al.. (2019). Disease-free survival as a surrogate for overall survival in patients with HER2-positive, early breast cancer in trials of adjuvant trastuzumab for up to 1 year: a systematic review and meta-analysis. The Lancet Oncology. 20(3). 361–370. 49 indexed citations
3.
Press, Michael F., José A. Seoane, Christina Curtis, et al.. (2018). Assessment ofERBB2/HER2Status inHER2-Equivocal Breast Cancers by FISH and 2013/2014 ASCO-CAP Guidelines. JAMA Oncology. 5(3). 366–366. 25 indexed citations
5.
Delbaldo, Catherine, Marc Ychou, Ayman Zawadi, et al.. (2015). Postoperative irinotecan in resected stage II–III rectal cancer: final analysis of the French R98 Intergroup trial. Annals of Oncology. 26(6). 1208–1215. 9 indexed citations
6.
Sonnenblick, Amir, Prudence A. Francis, Hatem A. Azim, et al.. (2015). Final 10-year results of the Breast International Group 2–98 phase III trial and the role of Ki67 in predicting benefit of adjuvant docetaxel in patients with oestrogen receptor positive breast cancer. European Journal of Cancer. 51(12). 1481–1489. 28 indexed citations
7.
Soveri, Leena‐Maija, Aimery de Gramont, Tuija Poussa, et al.. (2014). Association of adverse events and survival in colorectal cancer patients treated with adjuvant 5-fluorouracil and leucovorin: Is efficacy an impact of toxicity?. European Journal of Cancer. 50(17). 2966–2974. 24 indexed citations
8.
Loi, Sherene, Nicolas Sirtaine, Fanny Piette, et al.. (2013). Prognostic and Predictive Value of Tumor-Infiltrating Lymphocytes in a Phase III Randomized Adjuvant Breast Cancer Trial in Node-Positive Breast Cancer Comparing the Addition of Docetaxel to Doxorubicin With Doxorubicin-Based Chemotherapy: BIG 02-98. Journal of Clinical Oncology. 31(7). 860–867. 1213 indexed citations breakdown →
10.
Christiansen, Jason, Nashwa Barakat, Derek Murphy, et al.. (2012). Abstract PD02-01: Her2 expression measured by AQUA analysis on BCIRG-005 and BCIRG-006 predicts the benefit of Herceptin therapy. Cancer Research. 72(24_Supplement). PD02–1. 1 indexed citations
11.
Fernandez‐Cuesta, Lynnette, Catherine Oakman, Priscila Falagan-Lotsch, et al.. (2012). Prognostic and predictive value of TP53mutations in node-positive breast cancer patients treated with anthracycline- or anthracycline/taxane-based adjuvant therapy: results from the BIG 02-98 phase III trial. Breast Cancer Research. 14(3). R70–R70. 46 indexed citations
15.
Gramont, Aimery de, Marc Buyse, José Cortiñas Abrahantes, et al.. (2007). Reintroduction of Oxaliplatin Is Associated With Improved Survival in Advanced Colorectal Cancer. Journal of Clinical Oncology. 25(22). 3224–3229. 103 indexed citations
16.
17.
André, Thierry, Emmanuel Quinaux, Christophe Louvet, et al.. (2005). Updated results at 6 year of the GERCOR C96.1 phase III study comparing LV5FU2 to monthly 5FU-leucovorin (mFufol) as adjuvant treatment for Dukes B2 and C colon cancer patients. Journal of Clinical Oncology. 23(16_suppl). 3522–3522. 13 indexed citations
18.
Tournigand, Christophe, Thierry André, Emmanuel Achille, et al.. (2003). FOLFIRI Followed by FOLFOX6 or the Reverse Sequence in Advanced Colorectal Cancer: A Randomized GERCOR Study. Journal of Clinical Oncology. 22(2). 229–237. 2290 indexed citations breakdown →
19.
Nevens, Frederik, Tania Roskams, Hans Van Vlierberghe, et al.. (2003). A Pilot Study of Therapeutic Vaccination With Envelope Protein E1 in 35 Patients With Chronic Hepatitis C. Hepatology. 38(5). 1289–1296. 102 indexed citations
20.
Llorca, F. Penault, Xavier Sastre, Maryse Fiche, et al.. (1999). Pathological response to neoadjuvant chemotherapy Final results of a prospective randomized trial of 4AT vs 4AC as induction therapy in patients with operable breast cancer using Sataloff classification. Breast Cancer Research and Treatment. 57(1). 67. 12 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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