Emmanuelle Fourme

2.0k total citations
30 papers, 1.2k citations indexed

About

Emmanuelle Fourme is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Emmanuelle Fourme has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 11 papers in Oncology and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Emmanuelle Fourme's work include Breast Cancer Treatment Studies (6 papers), Advanced Breast Cancer Therapies (4 papers) and Medical Imaging Techniques and Applications (4 papers). Emmanuelle Fourme is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Advanced Breast Cancer Therapies (4 papers) and Medical Imaging Techniques and Applications (4 papers). Emmanuelle Fourme collaborates with scholars based in France, Switzerland and Belgium. Emmanuelle Fourme's co-authors include Jean‐Louis Alberini, Myriam Wartski, Elise Le Stanc, É. Gontier, Ivan Bièche, Carole Soussain, Khê Hoang‐Xuan, Rosette Lidereau, Sophie Vacher and Géraldine Cizeron-Clairac and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Emmanuelle Fourme

30 papers receiving 1.1k citations

Peers

Emmanuelle Fourme
Emmanuelle Fourme
Citations per year, relative to Emmanuelle Fourme Emmanuelle Fourme (= 1×) peers Lucia Nogová

Countries citing papers authored by Emmanuelle Fourme

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuelle Fourme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuelle Fourme

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Fourme. A scholar is included among the top collaborators of Emmanuelle Fourme 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 Emmanuelle Fourme. Emmanuelle Fourme 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.
Lerebours, Florence, Marina Pulido, Emmanuelle Fourme, et al.. (2020). Predictive factors of 5-year relapse-free survival in HR+/HER2- breast cancer patients treated with neoadjuvant endocrine therapy: pooled analysis of two phase 2 trials. British Journal of Cancer. 122(6). 759–765. 13 indexed citations
2.
Boughdad, Sarah, Laurence Champion, Véronique Becette, et al.. (2020). Early metabolic response of breast cancer to neoadjuvant endocrine therapy: comparison to morphological and pathological response. Cancer Imaging. 20(1). 11–11. 7 indexed citations
3.
Lovinfosse, Pierre, Caroline Rousseau, Jean‐Yves Pierga, et al.. (2019). Dual time point [18F]FLT-PET for differentiating proliferating tissues vs non-proliferating tissues. EJNMMI Research. 9(1). 109–109. 2 indexed citations
4.
Fourme, Emmanuelle, Laurence Bozec, Florence Lerebours, et al.. (2018). Febrile neutropenia in adjuvant and neoadjuvant chemotherapy for breast cancer: a retrospective study in routine clinical practice from a single institution. Supportive Care in Cancer. 26(12). 4097–4103. 7 indexed citations
5.
Sablin, Marie‐Paule, Delphine Loirat, Thomas Bachelot, et al.. (2017). Triple-NOTE (Triple Negative Outcome in ESME): Large recent real-world prognostic data on triple negative metastatic breast cancers (mTNBC).. Journal of Clinical Oncology. 35(15_suppl). e12592–e12592. 1 indexed citations
6.
Reyal, Fabien, et al.. (2016). Que penser de l’hormonoprévention du cancer du sein chez les femmes porteuses d’une mutation délétère BRCA1/BRCA2 ?. Bulletin du Cancer. 103(3). 273–281. 2 indexed citations
7.
Champion, Laurence, Florence Lerebours, Jean‐Louis Alberini, et al.. (2015). 18F-FDG PET/CT to Predict Response to Neoadjuvant Chemotherapy and Prognosis in Inflammatory Breast Cancer. Journal of Nuclear Medicine. 56(9). 1315–1321. 29 indexed citations
8.
Julian‐Reynier, Claire, Noémie Resseguier, Anne‐Déborah Bouhnik, et al.. (2014). Cigarette smoking in women after BRCA1/2 genetic test disclosure: a 5-year follow-up study of the GENEPSO PS cohort. Genetics in Medicine. 17(2). 117–124. 5 indexed citations
10.
Čížková, Magdalena, A. Susini, Sophie Vacher, et al.. (2012). PIK3CAmutation impact on survival in breast cancer patients and in ERα, PR and ERBB2-based subgroups. Breast Cancer Research. 14(1). R28–R28. 143 indexed citations
11.
Fourme, Emmanuelle, et al.. (2012). Post-Occlusive Reactive Hyperemia in Basal Cell Carcinoma and Its Potential Application to Improve the Efficacy of Solid Tumor Therapies. The Tohoku Journal of Experimental Medicine. 227(2). 139–147. 4 indexed citations
12.
Rio, Monica Sierra del, Sylvain Choquet, Khê Hoang‐Xuan, et al.. (2011). Platine and cytarabine-based salvage treatment for primary central nervous system lymphoma. Journal of Neuro-Oncology. 105(2). 409–414. 16 indexed citations
13.
Brain, Étienne, C. Mertens, Véronique Girre, et al.. (2010). Impact of liposomal doxorubicin-based adjuvant chemotherapy on autonomy in women over 70 with hormone-receptor-negative breast carcinoma: A French Geriatric Oncology Group (GERICO) phase II multicentre trial. Critical Reviews in Oncology/Hematology. 80(1). 160–170. 38 indexed citations
14.
Alberini, Jean‐Louis, Florence Lerebours, Myriam Wartski, et al.. (2009). 18F‐fluorodeoxyglucose positron emission tomography/computed tomography (FDG‐PET/CT) imaging in the staging and prognosis of inflammatory breast cancer. Cancer. 115(21). 5038–5047. 94 indexed citations
15.
Soussan, Michaël, Myriam Wartski, P. Chérel, et al.. (2007). Impact of FDG PET-CT imaging on the decision making in the biologic suspicion of ovarian carcinoma recurrence. Gynecologic Oncology. 108(1). 160–165. 44 indexed citations
16.
Gontier, É., Emmanuelle Fourme, Myriam Wartski, et al.. (2007). High and typical 18F-FDG bowel uptake in patients treated with metformin. European Journal of Nuclear Medicine and Molecular Imaging. 35(1). 95–99. 133 indexed citations
17.
Guinebretière, Jean‐Marc, Emmanuelle Menet, Emmanuelle Fourme, P. Chérel, & C. Bélichard. (2007). Lésions frontières du sein. Imagerie de la Femme. 17(2). 113–118. 1 indexed citations
18.
Becette, Véronique, Catherine H. Régnier, Emmanuelle Fourme, et al.. (2004). Gene Transcript Assay by Real-Time Rt-PCR in Epithelial Breast Cancer Cells Selected by Laser Microdissection. The International Journal of Biological Markers. 19(2). 100–108. 9 indexed citations
19.
Ansquer, Y., Éric Leblanc, Philippe Morice, et al.. (2001). Neoadjuvant chemotherapy for unresectable ovarian carcinoma. Cancer. 91(12). 2329–2334. 5 indexed citations
20.
Ansquer, Y., Éric Leblanc, Philippe Morice, et al.. (2001). Neoadjuvant chemotherapy for unresectable ovarian carcinoma. Cancer. 91(12). 2329–2334. 128 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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