Isabelle Rivière

26.1k total citations · 7 hit papers
157 papers, 12.2k citations indexed

About

Isabelle Rivière is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Isabelle Rivière has authored 157 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Oncology, 59 papers in Immunology and 49 papers in Molecular Biology. Recurrent topics in Isabelle Rivière's work include CAR-T cell therapy research (113 papers), Virus-based gene therapy research (38 papers) and CRISPR and Genetic Engineering (29 papers). Isabelle Rivière is often cited by papers focused on CAR-T cell therapy research (113 papers), Virus-based gene therapy research (38 papers) and CRISPR and Genetic Engineering (29 papers). Isabelle Rivière collaborates with scholars based in United States, Italy and France. Isabelle Rivière's co-authors include Michel Sadelain, Renier J. Brentjens, Xiuyan Wang, Stanley R. Riddell, Jae H. Park, Gertrude Gunset, John Maher, Brigitte Sénéchal, Marco L. Davila and Kevin J. Curran and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Isabelle Rivière

155 papers receiving 12.0k citations

Hit Papers

Long-Term Follow-up of CD19... 2002 2026 2010 2018 2018 2013 2002 2017 2003 500 1000 1.5k

Peers

Isabelle Rivière
Steven A. Feldman United States
Michael Kalos United States
J. Joseph Melenhorst United States
Simon F. Lacey United States
Stephen Gottschalk United States
Marcela V. Maus United States
Crystal L. Mackall United States
Laurence J.N. Cooper United States
Barbara Savoldo United States
Renier J. Brentjens United States
Steven A. Feldman United States
Isabelle Rivière
Citations per year, relative to Isabelle Rivière Isabelle Rivière (= 1×) peers Steven A. Feldman

Countries citing papers authored by Isabelle Rivière

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Rivière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Rivière

This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle Rivière. A scholar is included among the top collaborators of Isabelle Rivière 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 Isabelle Rivière. Isabelle Rivière 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.
Rivière, Isabelle, et al.. (2025). iPSC-derived T cells and macrophages: Manufacturing and next-generation application approaches. Advanced Drug Delivery Reviews. 227. 115713–115713. 2 indexed citations
2.
Hamieh, Mohamad, Jorge Mansilla‐Soto, Isabelle Rivière, & Michel Sadelain. (2023). Programming CAR T Cell Tumor Recognition: Tuned Antigen Sensing and Logic Gating. Cancer Discovery. 13(4). 829–843. 84 indexed citations
3.
Palomba, M. Lia, Isabelle Rivière, Devanjan Sikder, et al.. (2023). A Phase I Study of CD19‐targeted 19(T2)28z1xx CAR T Cells in Adult Patients with Relapsed or Refractory Diffuse Large B‐cell Lymphoma. Hematological Oncology. 41(S2). 527–528. 1 indexed citations
4.
Park, Jae H., Karthik Nath, Sean M. Devlin, et al.. (2023). CD19 CAR T-cell therapy and prophylactic anakinra in relapsed or refractory lymphoma: phase 2 trial interim results. Nature Medicine. 29(7). 1710–1717. 99 indexed citations
5.
Stegen, Sjoukje J. C. van der, Roseanna M. Petrovic, Hongyao Xie, et al.. (2022). Generation of T-cell-receptor-negative CD8αβ-positive CAR T cells from T-cell-derived induced pluripotent stem cells. Nature Biomedical Engineering. 6(11). 1284–1297. 49 indexed citations
6.
Smith, Eric L., Sham Mailankody, Mette Stæhr, et al.. (2019). BCMA-Targeted CAR T-cell Therapy plus Radiotherapy for the Treatment of Refractory Myeloma Reveals Potential Synergy. Cancer Immunology Research. 7(7). 1047–1053. 67 indexed citations
7.
Adusumilli, Prasad S., Marjorie G. Zauderer, Valerie W. Rusch, et al.. (2019). Abstract CT036: A phase I clinical trial of malignant pleural disease treated with regionally delivered autologous mesothelin-targeted CAR T cells: Safety and efficacy. Cancer Research. 79(13_Supplement). CT036–CT036. 44 indexed citations
8.
Santomasso, Bianca, Jae Hong Park, Isabelle Rivière, et al.. (2018). Neurotoxicity Associated with CD19-specific Chimeric Antigen Receptor T cell Therapy for Adult Acute Lymphoblastic Leukemia (B-ALL) (S23.008). Neurology. 90(15_supplement). 3 indexed citations
9.
Boulad, Farid, Jorge Mansilla‐Soto, Annalisa Cabriolu, Isabelle Rivière, & Michel Sadelain. (2018). Gene Therapy and Genome Editing. Hematology/Oncology Clinics of North America. 32(2). 329–342. 20 indexed citations
11.
Clarke, Raedun, Chia‐Wei Chang, Tom Lee, et al.. (2017). Generation of Clonal Antigen Specific CD8αβ+ Cytotoxic T Lymphocytes from Renewable Pluripotent Stem Cells for Off-the-Shelf T Cell Therapeutics. Blood. 130. 163–163. 1 indexed citations
13.
Sadelain, Michel, Renier J. Brentjens, & Isabelle Rivière. (2013). The Basic Principles of Chimeric Antigen Receptor Design. Cancer Discovery. 3(4). 388–398. 1146 indexed citations breakdown →
14.
Manley, Christina, Nicole F. Leibman, J. D. Wolchok, et al.. (2010). Xenogeneic Murine Tyrosinase DNA Vaccine for Malignant Melanoma of the Digit of Dogs. Journal of Veterinary Internal Medicine. 25(1). 94–99. 49 indexed citations
16.
Yuan, Jianda, Jean‐Baptiste Latouche, Alan N. Houghton, et al.. (2006). Langerhans-Type Dendritic Cells Genetically Modified to Express Full-Length Antigen Optimally Stimulate CTLs in a CD4-Dependent Manner. The Journal of Immunology. 176(4). 2357–2365. 6 indexed citations
17.
Zanzonico, Pat, Guenther Koehne, Humilidad F. Gallardo, et al.. (2006). [131I]FIAU labeling of genetically transduced, tumor-reactive lymphocytes: cell-level dosimetry and dose-dependent toxicity. European Journal of Nuclear Medicine and Molecular Imaging. 33(9). 988–997. 30 indexed citations
18.
Gade, T., Waleed Hassen, Elmer Santos, et al.. (2005). Targeted Elimination of Prostate Cancer by Genetically Directed Human T Lymphocytes. Cancer Research. 65(19). 9080–9088. 93 indexed citations
19.
Yuan, Jianda, Jean‐Baptiste Latouche, John L. Reagan, et al.. (2005). Langerhans Cells Derived from Genetically Modified Human CD34+ Hemopoietic Progenitors Are More Potent Than Peptide-Pulsed Langerhans Cells for Inducing Antigen-Specific CD8+ Cytolytic T Lymphocyte Responses. The Journal of Immunology. 174(2). 758–766. 16 indexed citations
20.
Rivière, Isabelle & Michel Sadelain. (2000). Genetic treatment of severe hemoglobinopathies. Hématologie. 5(6). 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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