Philippe Saas
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments 15
- Immunology top 0.5%
- Immune Cell Function and Interaction 62
- T-cell and B-cell Immunology 42
- Immunotherapy and Immune Responses 41
- Phagocytosis and Immune Regulation 33
- Immune Response and Inflammation 15
- Genetics top 0.5%
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 33
- Oncology top 2%
-
- Cytomegalovirus and herpesvirus research 16
- Co-authors
- Pierre TiberghienPierre‐Yves DietrichPaul R. WalkerSylvain PerrucheÉmilie GaiffeJamal BamoulidBéatrice GauglerChristophe Ferrand
- Cited by
- TransplantationImmunologyGenetics
- Journals
- Frontiers in Immunology (18 papers)Transplantation (12 papers)The Journal of Immunology (9 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Philippe Saas
199 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Transplantation 480
- Immunology 3.4k
- Genetics 1.0k
- Hematology 935
- Oncology 1.3k
Countries citing papers authored by Philippe Saas
This map shows the geographic impact of Philippe Saas'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 Philippe Saas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Saas more than expected).
Fields of papers citing papers by Philippe Saas
This network shows the impact of papers produced by Philippe Saas. 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 Philippe Saas. The network helps show where Philippe Saas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philippe Saas, 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 | 2025 | 1 | |
| 2 | MCT1 lactate transporter blockade re-invigorates anti-tumor immunity through metabolic rewiring of dendritic cells in melanomabreakdown → | 2025 | 18 |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 5 | |
| 9 | 2018 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 36 | |
| 12 | 2014 | 10 | |
| 13 | 2013 | 39 | |
| 14 | 2012 | 76 | |
| 15 | 2009 | 10 | |
| 16 | 2007 | 120 | |
| 17 | 2003 | 11 | |
| 18 | La réactivité allogénique dirigée contre le receveur lors d‘une greffe hématopoïétique | 2003 | 1 |
| 19 | 2002 | 26 | |
| 20 | 2000 | 44 |
About Philippe Saas
Philippe Saas is a scholar working on Immunology, Transplantation and Hematology, having authored 210 papers that have together received 7.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (62 papers), T-cell and B-cell Immunology (42 papers), Immunotherapy and Immune Responses (41 papers), Hematopoietic Stem Cell Transplantation (33 papers), Phagocytosis and Immune Regulation (33 papers), Cytomegalovirus and herpesvirus research (16 papers), Renal Transplantation Outcomes and Treatments (15 papers) and Immune Response and Inflammation (15 papers). The work is most often cited by research in Transplantation (480 citations), Immunology (3.4k citations) and Genetics (1.0k citations). Philippe Saas has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Pierre Tiberghien, Pierre‐Yves Dietrich, Paul R. Walker, Sylvain Perruche, Émilie Gaiffe, Jamal Bamoulid, Béatrice Gaugler, Christophe Ferrand, Christophe Borg and Éric Toussirot. Their work appears in journals such as Frontiers in Immunology, Transplantation, The Journal of Immunology, Blood and American Journal of Transplantation.
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.