Sylvain Perruche
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Phagocytosis and Immune Regulation
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Response and Inflammation
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 49
- Immune Cell Function and Interaction 30
- Phagocytosis and Immune Regulation 26
- Immunotherapy and Immune Responses 17
- T-cell and B-cell Immunology 16
- Immune cells in cancer 5
- Hematology 11
- Hematopoietic Stem Cell Transplantation 10
- Co-authors
- Philippe SaasWanjun ChenYongzhong LiuPin ZhangAshok B. KulkarniJun LiPierre TiberghienFrancis Bonnefoy
- Journals
- Frontiers in Immunology (7 papers)Transplantation (5 papers)The Journal of Immunology (4 papers)Arthritis Research & Therapy (3 papers)Blood (3 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Sylvain Perruche
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Immunology 1.4k
- Hematology 266
- Transplantation 32
- Genetics 120
- Immunology and Allergy 61
Countries citing papers authored by Sylvain Perruche
This map shows the geographic impact of Sylvain Perruche'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 Sylvain Perruche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Perruche more than expected).
Fields of papers citing papers by Sylvain Perruche
This network shows the impact of papers produced by Sylvain Perruche. 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 Sylvain Perruche. The network helps show where Sylvain Perruche may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sylvain Perruche, 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 | 2024 | 13 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 28 | |
| 4 | 2018 | 43 | |
| 5 | 2017 | 23 | |
| 6 | 2015 | 19 | |
| 7 | 2015 | 12 | |
| 8 | 2012 | 11 | |
| 9 | 2012 | 13 | |
| 10 | 2009 | 10 | |
| 11 | 2009 | 44 | |
| 12 | 2008 | 204 | |
| 13 | 2008 | 3 | |
| 14 | 2007 | 23 | |
| 15 | 2006 | 20 | |
| 16 | 2005 | 9 | |
| 17 | 2004 | 12 | |
| 18 | 2003 | 11 | |
| 19 | 2003 | 19 | |
| 20 | 2001 | 7 |
About Sylvain Perruche
Sylvain Perruche is a scholar working on Immunology, Hematology, Immunology and Allergy, Transplantation and Nephrology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), Phagocytosis and Immune Regulation (26 papers), Immunotherapy and Immune Responses (17 papers), T-cell and B-cell Immunology (16 papers), Hematopoietic Stem Cell Transplantation (10 papers), Cell death mechanisms and regulation (5 papers), Immune cells in cancer (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Immunology (1.4k citations), Hematology (266 citations), Transplantation (32 citations), Genetics (120 citations) and Immunology and Allergy (61 citations). Sylvain Perruche has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Philippe Saas, Wanjun Chen, Yongzhong Liu, Pin Zhang, Ashok B. Kulkarni, Jun Li, Pierre Tiberghien, Francis Bonnefoy, Jeffrey A. Bluestone and Pin Zhang. Their work appears in journals such as Frontiers in Immunology, Transplantation, The Journal of Immunology, Arthritis Research & Therapy and Blood.
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.