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
- Immune Response and Inflammation 3
- T-cell and B-cell Immunology 3
- interferon and immune responses 1
- Galectins and Cancer Biology 1
- Co-authors
- Serge Lebecque (3 shared papers)Dominique Blanchard (2 shared papers)Benoît Guibert (1 shared paper)N. Freymond (1 shared paper)Sylvie Isaac (1 shared paper)Yves Pachéco (1 shared paper)Isabelle Durand (3 shared papers)Roch Houot (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Cancer Research (3 papers)International Journal of Cancer (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- FranceUnited StatesTunisia
In The Last Decade
Ivan Perrot
11 papers receiving 573 citations
Peers
Comparison fields: 5 of 52
- Immunology 492
- Oncology 204
- Dermatology 40
- Cancer Research 36
- Epidemiology 61
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 | 213 | |
| 2 | 2006 | 96 | |
| 3 | 2010 | 80 | |
| 4 | 2004 | 63 | |
| 5 | 2007 | 60 | |
| 6 | 2014 | 54 | |
| 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, Physiology, Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 588 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (6 papers), Immune Response and Inflammation (3 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (2 papers), interferon and immune responses (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (492 citations), Oncology (204 citations), Dermatology (40 citations), Cancer Research (36 citations) and Epidemiology (61 citations). Ivan Perrot has collaborated with scholars based in France, United States and Tunisia. Frequent co-authors include Serge Lebecque, Dominique Blanchard, Benoît Guibert, N. Freymond, Sylvie Isaac, Yves Pachéco, Isabelle Durand, Roch Houot, Eric Garcia and Christophe Caux. Their work appears in journals such as The Journal of Immunology, Cancer Research, International Journal of Cancer, Journal for ImmunoTherapy of Cancer and Proceedings of the National Academy of Sciences.
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.