Mathilde Poussin

3.6k total citations · 1 hit paper
41 papers, 2.8k citations indexed

About

Mathilde Poussin is a scholar working on Oncology, Immunology and Neurology. According to data from OpenAlex, Mathilde Poussin has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 17 papers in Immunology and 11 papers in Neurology. Recurrent topics in Mathilde Poussin's work include CAR-T cell therapy research (26 papers), Virus-based gene therapy research (11 papers) and Myasthenia Gravis and Thymoma (11 papers). Mathilde Poussin is often cited by papers focused on CAR-T cell therapy research (26 papers), Virus-based gene therapy research (11 papers) and Myasthenia Gravis and Thymoma (11 papers). Mathilde Poussin collaborates with scholars based in United States, France and Italy. Mathilde Poussin's co-authors include Daniel J. Powell, Qunrui Ye, Mariangela Figini, Evripidis Lanitis, Rachel C. Lynn, Premkumar Christadoss, De-Gang Song, George Coukos, Carl H. June and Raphael Sandaltzopoulos and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Mathilde Poussin

40 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy

2021 243 citations Alba Rodríguez-García, Rachel C. Lynn et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathilde Poussin United States	24	2.1k	1.1k	767	679	595	41	2.8k
Bambi Grilley United States	21	3.7k 1.7×	1.5k 1.3×	920 1.2×	1.2k 1.8×	1.5k 2.5×	69	4.4k
Karin Straathof United States	23	3.6k 1.7×	1.9k 1.6×	793 1.0×	1.2k 1.8×	1.4k 2.3×	38	4.6k
Luis Sánchez-Pérez United States	34	2.5k 1.2×	2.3k 2.0×	634 0.8×	1.1k 1.7×	632 1.1×	77	4.0k
Eric Yvon United States	28	2.6k 1.2×	1.8k 1.6×	698 0.9×	900 1.3×	867 1.5×	49	3.6k
Carolina Berger United States	28	3.0k 1.4×	1.5k 1.3×	782 1.0×	1.2k 1.8×	1.1k 1.9×	49	3.9k
Anja Feldmann Germany	29	1.9k 0.9×	935 0.8×	825 1.1×	747 1.1×	439 0.7×	97	2.6k
Simon Olivares United States	24	2.4k 1.1×	1.1k 1.0×	686 0.9×	1.1k 1.6×	995 1.7×	46	3.0k
Juan F. Vera United States	27	2.8k 1.3×	1.4k 1.2×	749 1.0×	846 1.2×	1.0k 1.7×	63	3.3k
Carolina Colli Cruz United States	26	2.1k 1.0×	1.4k 1.2×	529 0.7×	810 1.2×	863 1.5×	93	3.3k
Kaichao Feng China	19	2.5k 1.2×	1.3k 1.1×	926 1.2×	986 1.5×	585 1.0×	26	3.4k

Countries citing papers authored by Mathilde Poussin

Since Specialization

Citations

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

Fields of papers citing papers by Mathilde Poussin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathilde Poussin

This figure shows the co-authorship network connecting the top 25 collaborators of Mathilde Poussin. A scholar is included among the top collaborators of Mathilde Poussin 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 Mathilde Poussin. Mathilde Poussin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shaw, Lauren, Mathilde Poussin, Alba Rodríguez-García, et al.. (2022). TCRvβ-CART therapy mediates high-precision targeting of malignant T-cell clones. Blood Advances. 7(9). 1885–1898. 5 indexed citations

Rodríguez-García, Alba, Rachel C. Lynn, Mathilde Poussin, et al.. (2021). CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy. Nature Communications. 12(1). 877–877. 243 indexed citations breakdown →

Poussin, Mathilde, Arlene Sereno, Xiufeng Wu, et al.. (2021). Dichotomous impact of affinity on the function of T cell engaging bispecific antibodies. Journal for ImmunoTherapy of Cancer. 9(7). e002444–e002444. 21 indexed citations

Minutolo, Nicholas G., Mathilde Poussin, Lauren Shaw, et al.. (2020). Quantitative Control of Gene-Engineered T-Cell Activity through the Covalent Attachment of Targeting Ligands to a Universal Immune Receptor. Journal of the American Chemical Society. 142(14). 6554–6568. 57 indexed citations

Lynn, Rachel C., Yang Feng, Keith Schutsky, et al.. (2016). High-affinity FRβ-specific CAR T cells eradicate AML and normal myeloid lineage without HSC toxicity. Leukemia. 30(6). 1355–1364. 99 indexed citations

Xu, Xiaojun, De-Gang Song, Mathilde Poussin, et al.. (2016). Multiparameter comparative analysis reveals differential impacts of various cytokines on CART cell phenotype and function ex vivo and in vivo. Oncotarget. 7(50). 82354–82368. 40 indexed citations

Ye, Qunrui, et al.. (2016). Effective adoptive immunotherapy of triple-negative breast cancer by folate receptor-alpha redirected CAR T cells is influenced by surface antigen expression level. Journal of Hematology & Oncology. 9(1). 56–56. 94 indexed citations

Urbańska, Katarzyna, Caitlin Stashwick, Mathilde Poussin, & Daniel J. Powell. (2015). Follicle-Stimulating Hormone Receptor as a Target in the Redirected T-cell Therapy for Cancer. Cancer Immunology Research. 3(10). 1130–1137. 37 indexed citations

Lanitis, Evripidis, Jenessa B. Smith, Denarda Dangaj Laniti, et al.. (2014). A Human ErbB2-Specific T-Cell Receptor Confers Potent Antitumor Effector Functions in Genetically Engineered Primary Cytotoxic Lymphocytes. Human Gene Therapy. 25(8). 730–739. 14 indexed citations

10.

Lanitis, Evripidis, Mathilde Poussin, Alex W. Klattenhoff, et al.. (2013). Chimeric Antigen Receptor T Cells with Dissociated Signaling Domains Exhibit Focused Antitumor Activity with Reduced Potential for Toxicity In Vivo. Cancer Immunology Research. 1(1). 43–53. 285 indexed citations

11.

Ye, Qunrui, De-Gang Song, Mathilde Poussin, et al.. (2013). CD137 Accurately Identifies and Enriches for Naturally Occurring Tumor-Reactive T Cells in Tumor. Clinical Cancer Research. 20(1). 44–55. 232 indexed citations

12.

Urbańska, Katarzyna, Evripidis Lanitis, Mathilde Poussin, et al.. (2012). A Universal Strategy for Adoptive Immunotherapy of Cancer through Use of a Novel T-cell Antigen Receptor. Cancer Research. 72(7). 1844–1852. 265 indexed citations

13.

Ye, Qunrui, Carmine Carpenito, Mathilde Poussin, et al.. (2011). In Vivo Persistence, Tumor Localization, and Antitumor Activity of CAR-Engineered T Cells Is Enhanced by Costimulatory Signaling through CD137 (4-1BB). Cancer Research. 71(13). 4617–4627. 237 indexed citations

14.

Poussin, Mathilde & Howard Goldfine. (2005). Involvement ofListeria monocytogenesPhosphatidylinositol-Specific Phospholipase C and Host Protein Kinase C in Permeabilization of the Macrophage Phagosome. Infection and Immunity. 73(7). 4410–4413. 29 indexed citations

15.

Yang, Huan, Elzbieta Goluszko, Chella S. David, et al.. (2003). Induction of Myasthenia Gravis in HLA Transgenic Mice by Immunization with Human Acetylcholine Receptors. Annals of the New York Academy of Sciences. 998(1). 375–378. 6 indexed citations

16.

Poussin, Mathilde, et al.. (2003). B7-1 Costimulatory Molecule Is Critical for the Development of Experimental Autoimmune Myasthenia Gravis. The Journal of Immunology. 170(8). 4389–4396. 17 indexed citations

17.

Debierre‐Grockiego, Françoise, Corinne Desaint, Vincent Fuentès, et al.. (2003). Evidence for glycosylphosphatidylinositol (GPI)‐anchored eosinophil‐derived neurotoxin (EDN) on human granulocytes. FEBS Letters. 537(1-3). 111–116. 4 indexed citations

18.

Yang, Huan, Elzbieta Goluszko, Chella S. David, et al.. (2002). Mapping myasthenia gravis–associated T cell epitopes on human acetylcholine receptors in HLA transgenic mice. Journal of Clinical Investigation. 109(8). 1111–1120. 40 indexed citations

19.

Poussin, Mathilde, et al.. (2000). Suppression of experimental autoimmune myasthenia gravis in IL-10 gene-disrupted mice is associated with reduced B cells and serum cytotoxicity on mouse cell line expressing AChR. Journal of Neuroimmunology. 111(1-2). 152–160. 51 indexed citations

20.

Christadoss, Premkumar, Mathilde Poussin, & Caishu Deng. (2000). Animal Models of Myasthenia Gravis. Clinical Immunology. 94(2). 75–87. 120 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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