Stephane Pourpe

1.1k total citations · 1 hit paper
7 papers, 824 citations indexed

About

Stephane Pourpe is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Stephane Pourpe has authored 7 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Stephane Pourpe's work include Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (2 papers) and CAR-T cell therapy research (2 papers). Stephane Pourpe is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), T-cell and B-cell Immunology (2 papers) and CAR-T cell therapy research (2 papers). Stephane Pourpe collaborates with scholars based in United States and United Kingdom. Stephane Pourpe's co-authors include Taha Merghoub, Jedd D. Wolchok, Dmitriy Zamarin, Roberta Zappasodi, Alfredo Castro, Jill Cavanaugh, Ivan Cohen, Jeremy H. Tchaicha, Mark Manfredi and Luís Felipe Campesato and has published in prestigious journals such as Cell, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stephane Pourpe

7 papers receiving 821 citations

Hit Papers

Blockade of the AHR restricts a Treg-macrophage suppressi... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephane Pourpe United States 4 472 350 208 122 96 7 824
Marieke E. Ijsselsteijn Netherlands 16 286 0.6× 305 0.9× 240 1.2× 74 0.6× 9 0.1× 34 721
Isabelle Cousineau Canada 13 227 0.5× 355 1.0× 314 1.5× 82 0.7× 5 0.1× 24 776
Tiziana Piazza Italy 12 249 0.5× 209 0.6× 150 0.7× 66 0.5× 8 0.1× 15 505
Trisha R. Sippel United States 11 422 0.9× 253 0.7× 180 0.9× 94 0.8× 7 0.1× 11 687
Oliver Umland United States 15 236 0.5× 237 0.7× 284 1.4× 138 1.1× 7 0.1× 22 722
Marc Uemura United States 11 213 0.5× 395 1.1× 187 0.9× 28 0.2× 6 0.1× 20 662
Remi Adelaiye‐Ogala United States 14 318 0.7× 356 1.0× 563 2.7× 193 1.6× 8 0.1× 26 1.0k
Pui Yeng Lam Australia 11 270 0.6× 124 0.4× 285 1.4× 120 1.0× 8 0.1× 17 618
Zeinab Barekati Switzerland 17 56 0.1× 239 0.7× 662 3.2× 481 3.9× 12 0.1× 23 962
Masahisa Handa United States 5 202 0.4× 444 1.3× 179 0.9× 47 0.4× 4 0.0× 5 783

Countries citing papers authored by Stephane Pourpe

Since Specialization
Citations

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

Fields of papers citing papers by Stephane Pourpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephane Pourpe

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

All Works

7 of 7 papers shown
1.
Deering, Raquel P., Lili M. Blumenberg, Lianjie Li, et al.. (2023). Rapid TCR:Epitope Ranker (RAPTER): a primary human T cell reactivity screening assay pairing epitope and TCR at single cell resolution. Scientific Reports. 13(1). 8452–8452. 3 indexed citations
2.
Bright, Susan, Srikanth Ambati, Jurriaan Brouwer‐Visser, et al.. (2022). Complete responses to odronextamab in two patients with diffuse large B‐cell lymphoma refractory to chimeric antigen receptor T‐cell therapy. British Journal of Haematology. 199(3). 366–370. 6 indexed citations
3.
Campesato, Luís Felipe, Sadna Budhu, Jeremy H. Tchaicha, et al.. (2020). Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine. Nature Communications. 11(1). 4011–4011. 335 indexed citations breakdown →
4.
Choi, Hyejin, Jiehui Deng, Stephane Pourpe, et al.. (2018). Exploring effects of MEK inhibition in tumor microenvironment in non-small cell lung cancer (NSCLC) pre-clinical models.. Journal of Clinical Oncology. 36(15_suppl). 12060–12060. 1 indexed citations
5.
Campesato, Luís Felipe, Sadna Budhu, Jeremy H. Tchaicha, et al.. (2018). Interaction between Kynurenine and the AhR is an effector mechanism of tumor immunosuppression and represents a potential immunotherapy target. The Journal of Immunology. 200(Supplement_1). 177.5–177.5. 2 indexed citations
6.
Jiménez-Sánchez, Alejandro, Danish Memon, Stephane Pourpe, et al.. (2017). Heterogeneous Tumor-Immune Microenvironments among Differentially Growing Metastases in an Ovarian Cancer Patient. Cell. 170(5). 927–938.e20. 334 indexed citations
7.
Yu, Chun I., Christian Becker, Yuanyuan Wang, et al.. (2013). Human CD1c+ Dendritic Cells Drive the Differentiation of CD103+ CD8+ Mucosal Effector T Cells via the Cytokine TGF-β. Immunity. 38(4). 818–830. 143 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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