Florence Coussy

2.3k total citations
59 papers, 734 citations indexed

About

Florence Coussy is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Florence Coussy has authored 59 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Oncology, 28 papers in Cancer Research and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Florence Coussy's work include Breast Cancer Treatment Studies (25 papers), Cancer Risks and Factors (13 papers) and HER2/EGFR in Cancer Research (10 papers). Florence Coussy is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), Cancer Risks and Factors (13 papers) and HER2/EGFR in Cancer Research (10 papers). Florence Coussy collaborates with scholars based in France, Switzerland and United States. Florence Coussy's co-authors include Jean‐Yves Pierga, Delphine Loirat, Charlotte Proudhon, Luc Cabel, François‐Clément Bidard, Hugo Gortais, Anne‐Sophie Hamy, Fabien Reyal, Enora Laas and Sylvie Giacchetti and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Florence Coussy

52 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florence Coussy France 15 393 295 185 139 99 59 734
Matteo Clavarezza Italy 13 405 1.0× 158 0.5× 111 0.6× 135 1.0× 58 0.6× 46 629
Monika Graeser Germany 13 445 1.1× 462 1.6× 337 1.8× 159 1.1× 131 1.3× 46 929
Johanna G. H. van Nes Netherlands 16 681 1.7× 349 1.2× 288 1.6× 182 1.3× 160 1.6× 31 1.2k
Robert D. Legare United States 14 449 1.1× 230 0.8× 150 0.8× 68 0.5× 86 0.9× 35 822
Hamdy A. Azim Egypt 19 766 1.9× 252 0.9× 230 1.2× 352 2.5× 64 0.6× 66 1.1k
Paula Klein United States 14 628 1.6× 235 0.8× 260 1.4× 307 2.2× 124 1.3× 47 1.1k
Rubina Qamar United States 12 479 1.2× 210 0.7× 203 1.1× 239 1.7× 85 0.9× 21 908
Ana Santaballa Spain 17 337 0.9× 197 0.7× 180 1.0× 138 1.0× 81 0.8× 87 753
Maria Vassilakopoulou Greece 14 383 1.0× 187 0.6× 267 1.4× 143 1.0× 59 0.6× 29 790
Nuria Romero-Laorden Spain 14 491 1.2× 223 0.8× 163 0.9× 275 2.0× 123 1.2× 60 779

Countries citing papers authored by Florence Coussy

Since Specialization
Citations

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

Fields of papers citing papers by Florence Coussy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Coussy

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Coussy. A scholar is included among the top collaborators of Florence Coussy 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 Florence Coussy. Florence Coussy 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.
Dumas, Élise, Floriane Jochum, Florence Coussy, et al.. (2025). Explaining the Relationships Between Age, Endocrine Therapy Persistence, and Risk of Recurrence in Hormone Receptor–Positive Early Breast Cancer: A Nationwide Cohort Study. Journal of Clinical Oncology. 43(16). 1863–1874. 1 indexed citations
2.
Cabannes‐Hamy, Aurélie, Floriane Jochum, Kévin Bihan, et al.. (2025). BCR::ABL1 Tyrosine Kinase Inhibitors During Pregnancy, a Disproportionality Analysis of Vigibase. Clinical Pharmacology & Therapeutics. 118(3). 705–714.
3.
4.
Hamy, Anne‐Sophie, Paul Gougis, Enora Laas, et al.. (2024). 268MO Safety of vaginal estrogen therapy after early-stage breast cancer: A nationwide population-based target trial emulation. ESMO Open. 9. 103327–103327. 1 indexed citations
5.
Botty, Rania El, Sophie Vacher, Adrien Briaux, et al.. (2023). HORMAD1 overexpression predicts response to anthracycline–cyclophosphamide and survival in triple‐negative breast cancers. Molecular Oncology. 17(10). 2017–2028. 5 indexed citations
7.
Agostinetto, Elisa, Guilherme Nader Marta, Marianne Paesmans, et al.. (2022). ROSALINE: a phase II, neoadjuvant study targeting ROS1 in combination with endocrine therapy in invasive lobular carcinoma of the breast. Future Oncology. 18(22). 2383–2392. 15 indexed citations
8.
Vanlemmens, Laurence, Anne Congard, Aurélie Untas, et al.. (2022). Emotional processes in partners’ quality of life at various stages of breast cancer pathway: a longitudinal study. Quality of Life Research. 32(4). 1085–1094. 1 indexed citations
9.
Labrosse, Julie, Enora Laas, Jean-Guillaume Féron, et al.. (2021). The Presence of an In Situ Component on Pre-Treatment Biopsy Is Not Associated with Response to Neoadjuvant Chemotherapy for Breast Cancer. Cancers. 13(2). 235–235. 5 indexed citations
10.
Laas, Enora, Élise Dumas, Jean‐Yves Pierga, et al.. (2021). The Prognostic Value of Lymph Node Involvement after Neoadjuvant Chemotherapy Is Different among Breast Cancer Subtypes. Cancers. 13(2). 171–171. 6 indexed citations
12.
Labrosse, Julie, Enora Laas, Florence Coussy, et al.. (2021). Time to Pregnancy, Obstetrical and Neonatal Outcomes after Breast Cancer: A Study from the Maternity Network for Young Breast Cancer Patients. Cancers. 13(5). 1070–1070. 5 indexed citations
13.
Delrieu, Lidia, Liacine Bouaoun, Douae El Fatouhi, et al.. (2021). Patterns of Sequelae in Women with a History of Localized Breast Cancer: Results from the French VICAN Survey. Cancers. 13(5). 1161–1161. 5 indexed citations
14.
Laas, Enora, Julie Labrosse, Anne‐Sophie Hamy, et al.. (2021). Determination of breast cancer prognosis after neoadjuvant chemotherapy: comparison of Residual Cancer Burden (RCB) and Neo-Bioscore. British Journal of Cancer. 124(8). 1421–1427. 22 indexed citations
15.
Coussy, Florence, Élise Deluche, Barbara Pistilli, et al.. (2021). Place des inhibiteurs de kinases dépendantes des cyclines 4/6 dans la prise en charge du cancer du sein avancé. Bulletin du Cancer. 108(9). 843–854. 2 indexed citations
16.
Xu, Liang, Huiping Li, Florence Coussy, Céline Callens, & Florence Lerebours. (2019). An update on biomarkers of potential benefit with bevacizumab for breast cancer treatment: Do we make progress?. Chinese Journal of Cancer Research. 31(4). 586–600. 8 indexed citations
18.
Hamy, Anne‐Sophie, et al.. (2014). Contraception after breast cancer: a retrospective review of the practice among French gynecologists in the 2000's.. PubMed. 35(2). 149–53. 2 indexed citations
19.
Giacchetti, Sylvie, Raphaël Porcher, Jacqueline Lehmann‐Che, et al.. (2014). Long-term survival of advanced triple-negative breast cancers with a dose-intense cyclophosphamide/anthracycline neoadjuvant regimen. British Journal of Cancer. 110(6). 1413–1419. 20 indexed citations
20.
Groheux, David, Sylvie Giacchetti, Mathieu Hatt, et al.. (2013). HER2-overexpressing breast cancer: FDG uptake after two cycles of chemotherapy predicts the outcome of neoadjuvant treatment. British Journal of Cancer. 109(5). 1157–1164. 52 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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