Florence Broussais

2.2k total citations · 1 hit paper
25 papers, 952 citations indexed

About

Florence Broussais is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Florence Broussais has authored 25 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 13 papers in Oncology and 8 papers in Immunology. Recurrent topics in Florence Broussais's work include Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (5 papers). Florence Broussais is often cited by papers focused on Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (5 papers). Florence Broussais collaborates with scholars based in France, Switzerland and Belgium. Florence Broussais's co-authors include Gilles Salles, Lionel Karlin, Franck Morschhauser, Catherine Thiéblemont, Emanuele Zucca, Sandy Amorim, David Cunningham, Mary Gleeson, Patrice Herait and Thierry Façon and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Florence Broussais

24 papers receiving 940 citations

Hit Papers

Bromodomain inhibitor OTX015 in patients with lymphoma or... 2016 2026 2019 2022 2016 100 200 300

Peers

Florence Broussais
Felicitas Hitz Switzerland
Sascha A. Tuchman United States
Andrew Belch United States
C. Michel Zwaan Netherlands
Clíona Grant United States
Thomas J. Semrad United States
Florence Broussais
Citations per year, relative to Florence Broussais Florence Broussais (= 1×) peers Sophie Tartas

Countries citing papers authored by Florence Broussais

Since Specialization
Citations

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

Fields of papers citing papers by Florence Broussais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Broussais

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Broussais. A scholar is included among the top collaborators of Florence Broussais 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 Broussais. Florence Broussais 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.
Combes, Jean‐Damien, et al.. (2022). Lymphomas associated with Epstein-Barr virus infection in 2020: Results from a large, unselected case series in France. EClinicalMedicine. 54. 101674–101674. 26 indexed citations
3.
Broussais, Florence, Jacques Olivier Bay, Nicolas Boissel, et al.. (2021). DESCAR-T, le registre national des patients traités par CAR-T Cells. Bulletin du Cancer. 108(10). S143–S154. 8 indexed citations
4.
Vey, Norbert, Lionel Karlin, Florence Broussais, et al.. (2018). A phase 1 study of lirilumab (antibody against killer immunoglobulin-like receptor antibody KIR2D; IPH2102) in patients with solid tumors and hematologic malignancies. Oncotarget. 9(25). 17675–17688. 110 indexed citations
5.
Cottereau, Anne‐Ségolène, Tarec Christoffer El‐Galaly, Stéphanie Becker, et al.. (2017). Predictive Value of PET Response Combined with Baseline Metabolic Tumor Volume in Peripheral T-Cell Lymphoma Patients. Journal of Nuclear Medicine. 59(4). 589–595. 44 indexed citations
6.
Thibult, Marie‐Laure, Sonia Pastor, Françoise Gondois‐Rey, et al.. (2016). Follicular B Lymphomas Generate Regulatory T Cells via the ICOS/ICOSL Pathway and Are Susceptible to Treatment by Anti-ICOS/ICOSL Therapy. Cancer Research. 76(16). 4648–4660. 58 indexed citations
7.
Cottereau, Anne‐Ségolène, Stéphanie Becker, Florence Broussais, et al.. (2016). Prognostic value of baseline total metabolic tumor volume (TMTV0) measured on FDG-PET/CT in patients with peripheral T-cell lymphoma (PTCL). Annals of Oncology. 27(4). 719–724. 75 indexed citations
8.
Amorim, Sandy, Anastasios Stathis, Mary Gleeson, et al.. (2016). Bromodomain inhibitor OTX015 in patients with lymphoma or multiple myeloma: a dose-escalation, open-label, pharmacokinetic, phase 1 study. The Lancet Haematology. 3(4). e196–e204. 328 indexed citations breakdown →
9.
Mounier, Nicolas, S. Anthony, Catherine Thiéblemont, et al.. (2016). Long term toxicity and fatigue after treatment for non-Hodgkin lymphoma (NHL): An analysis of twelve collaborative lymphoma study association (LYSA) trials, the Simonal Study.. Journal of Clinical Oncology. 34(15_suppl). 7518–7518. 1 indexed citations
10.
Coiffier, Bertrand, Catherine Thiéblemont, Sophie de Guibert, et al.. (2016). A phase II, single‐arm, multicentre study of coltuximab ravtansine (SAR3419) and rituximab in patients with relapsed or refractory diffuse large B‐cell lymphoma. British Journal of Haematology. 173(5). 722–730. 46 indexed citations
11.
Grados, A., Mikaël Ebbo, E. Bernit, et al.. (2015). Sarcoidosis Occurring After Solid Cancer. Medicine. 94(28). e928–e928. 36 indexed citations
12.
Nunès, Jacques A., Céline Castanier, Raynier Devillier, et al.. (2014). Constitutive AKT activation in follicular lymphoma. BMC Cancer. 14(1). 565–565. 17 indexed citations
13.
Castagna, Luca, Stéfania Bramanti, S. Fürst, et al.. (2014). Nonmyeloablative conditioning, unmanipulated haploidentical SCT and post-infusion CY for advanced lymphomas. Bone Marrow Transplantation. 49(12). 1475–1480. 26 indexed citations
15.
Thiéblemont, Catherine, Anastasios Stathis, Giorgio Inghirami, et al.. (2014). A Phase 1 Study of the BET-Bromodomain Inhibitor OTX015 in Patients with Non-Leukemic Hematologic Malignancies. Blood. 124(21). 4417–4417. 6 indexed citations
16.
Lazarovici, Julien, Pauline Brice, Lucie Obéric, et al.. (2014). Management and Outcomes of Nodular Lymphocyte Predominant Hodgkin Lymphoma: A Retrospective Study By the Lymphoma Study Association. Blood. 124(21). 3054–3054. 2 indexed citations
17.
Crocchiolo, Roberto, Thomas Prébet, Florence Broussais, et al.. (2013). Impact of Reduced-Intensity Conditioning Allogeneic Stem Cell Transplantation on Women's Fertility. Clinical Lymphoma Myeloma & Leukemia. 13(6). 704–710. 22 indexed citations
18.
Ranchon, Florence, Gilles Salles, Hans-Martin Späth, et al.. (2011). Chemotherapeutic errors in hospitalised cancer patients: attributable damage and extra costs. BMC Cancer. 11(1). 478–478. 93 indexed citations
19.
Villar, Emmanuel, et al.. (2007). IgA-mediated autoimmune haemolytic anaemia in a 9-year renal transplanted patient. Clinical Kidney Journal. 1(1). 28–29. 2 indexed citations
20.
Broussais, Florence, Nicolas Mounier, Coralie Bélanger, et al.. (2005). Survival Impact of Time Repeated bcl2/IgH Rearrangement Measurements in Follicular Lymphoma Patients Treated with Front-Line Autotransplantation in the GELF-94 Trial by the GELA.. Blood. 106(11). 981–981. 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.

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