Ivan Perrot
Impact in
- 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
- interferon and immune responses
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immune Response and Inflammation 3
- Oncology 3
- CAR-T cell therapy research 2
- Co-authors
- Serge Lebecque (3 shared papers)Dominique Blanchard (2 shared papers)Benoît Guibert (1 shared paper)Sylvie Isaac (1 shared paper)N. Freymond (1 shared paper)Yves Pachéco (1 shared paper)Isabelle Durand (3 shared papers)Eric Garcia (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (3 papers)Proceedings of the National Academy of Sciences (1 paper)European Journal of Immunology (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- FranceUnited StatesMali
In The Last Decade
Ivan Perrot
11 papers receiving 591 citations
Peers
Comparison fields: 5 of 53
- Immunology 485
- Oncology 194
- Dermatology 40
- Cancer Research 36
- Epidemiology 60
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 | 2007 | 221 | |
| 2 | 2006 | 102 | |
| 3 | 2010 | 85 | |
| 4 | 2004 | 64 | |
| 5 | 2007 | 64 | |
| 6 | 2014 | 57 | |
| 7 | 2018 | 10 | |
| 8 | 2021 | 5 | |
| 9 | 2013 | 4 | |
| 10 | 2016 | 2 | |
| 11 | 2014 | 1 |
About Ivan Perrot
Ivan Perrot is a scholar working on Immunology, Oncology, Organic Chemistry, Molecular Biology and Physiology, having authored 11 papers that have together received 615 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers), Immune Response and Inflammation (3 papers), CAR-T cell therapy research (2 papers), Click Chemistry and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (485 citations), Oncology (194 citations), Dermatology (40 citations), Cancer Research (36 citations) and Epidemiology (60 citations). Ivan Perrot has collaborated with scholars based in France, United States and Mali. Frequent co-authors include Serge Lebecque, Dominique Blanchard, Benoît Guibert, Sylvie Isaac, N. Freymond, Yves Pachéco, Isabelle Durand, Eric Garcia, Roch Houot and Christophe Caux. Their work appears in journals such as The Journal of Immunology, Cancer Research, Proceedings of the National Academy of Sciences, European Journal of Immunology 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.