Stephane Pourpe
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
Papers in
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- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology 6
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 4
- Cancer Cells and Metastasis 1
- Co-authors
- Taha Merghoub (2 shared papers)Dmitriy Zamarin (2 shared papers)Jedd D. Wolchok (2 shared papers)Karen McGovern (1 shared paper)Mathieu Gigoux (1 shared paper)Chien‐Huan Weng (1 shared paper)Ivan J. Cohen (1 shared paper)Roberta Zappasodi (1 shared paper)
- Journals
- Current Protocols in Cell Biology (1 paper)Science Translational Medicine (1 paper)Nature Immunology (1 paper)Hematological Oncology (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Stephane Pourpe
10 papers receiving 1.0k citations
Stephane Pourpe's Hit Papers
Peers
Comparison fields: 5 of 88
- Biological Psychiatry 103
- Immunology 485
- Oncology 363
- Cancer Research 129
- Reproductive Medicine 50
Countries citing papers authored by Stephane Pourpe
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
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-authors
The 25 scholars most cited alongside Stephane Pourpe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine Hit paper breakdown → | 2020 | 403 |
| 2 | 2017 | 394 | |
| 3 | 2013 | 153 | |
| 4 | 2010 | 52 | |
| 5 | 2022 | 23 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 6 | |
| 8 | 2025 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2023 | 1 |
About Stephane Pourpe
Stephane Pourpe is a scholar working on Immunology, Oncology, Biological Psychiatry, Genetics and Hematology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Tryptophan and brain disorders (1 paper), RNA modifications and cancer (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Biological Psychiatry (103 citations), Immunology (485 citations), Oncology (363 citations), Cancer Research (129 citations) and Reproductive Medicine (50 citations). Stephane Pourpe has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Taha Merghoub, Dmitriy Zamarin, Jedd D. Wolchok, Karen McGovern, Mathieu Gigoux, Chien‐Huan Weng, Ivan J. Cohen, Roberta Zappasodi, Alfredo C. Castro and David Redmond. Their work appears in journals such as Current Protocols in Cell Biology, Science Translational Medicine, Nature Immunology, Hematological Oncology and Cell.
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.