Ivan Perrot
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Histiocytic Disorders and Treatments
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune cells in cancer
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 5
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- T-cell and B-cell Immunology 1
- interferon and immune responses 1
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- Adenosine and Purinergic Signaling 1
- Co-authors
- Serge Lebecque (3 shared papers)Benoît Guibert (1 shared paper)Sylvie Isaac (1 shared paper)Y. Pachéco (1 shared paper)N. Freymond (1 shared paper)Isabelle Durand (3 shared papers)Roch Houot (1 shared paper)Eric Garcia (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)European Journal of Immunology (1 paper)Cell Reports Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Ivan Perrot
11 papers receiving 1.1k citations
Ivan Perrot's Hit Papers
Peers
Comparison fields: 5 of 53
- Physiology 168
- Immunology 672
- Oncology 214
- Genetics 23
- Hematology 31
Countries citing papers authored by Ivan Perrot
This map shows the geographic impact of Ivan Perrot'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 Ivan Perrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Perrot more than expected).
Fields of papers citing papers by Ivan Perrot
This network shows the impact of papers produced by Ivan Perrot. 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 Ivan Perrot. The network helps show where Ivan Perrot may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Perrot, 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 | Blocking Antibodies Targeting the CD39/CD73 Immunosuppressive Pathway Unleash Immune Responses in Combination Cancer Therapies Hit paper breakdown → | 2019 | 362 |
| 2 | 2007 | 218 | |
| 3 | 2014 | 114 | |
| 4 | 2006 | 104 | |
| 5 | 2010 | 87 | |
| 6 | 2004 | 69 | |
| 7 | 2007 | 63 | |
| 8 | 2022 | 63 | |
| 9 | 2014 | 59 | |
| 10 | 2024 | 15 | |
| 11 | 2021 | 8 |
About Ivan Perrot
Ivan Perrot is a scholar working on Immunology, Physiology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (2 papers), T-cell and B-cell Immunology (1 paper), Adenosine and Purinergic Signaling (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Physiology (168 citations), Immunology (672 citations), Oncology (214 citations), Genetics (23 citations) and Hematology (31 citations). Ivan Perrot has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Serge Lebecque, Benoît Guibert, Sylvie Isaac, Y. Pachéco, N. Freymond, Isabelle Durand, Roch Houot, Eric Garcia, Christophe Caux and Giorgio Trinchieri. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Cell Reports Medicine, Proceedings of the National Academy of Sciences and International Journal of Cancer.
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.