Nathalie Rufer
- Immunology top 0.2%
- Immunotherapy and Immune Responses 62
- T-cell and B-cell Immunology 59
- Immune Cell Function and Interaction 56
- Oncology top 0.5%
- CAR-T cell therapy research 35
- Aging top 1%
- Virology top 2%
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 9
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- Telomeres, Telomerase, and Senescence 15
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- Cytomegalovirus and herpesvirus research 13
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- vaccines and immunoinformatics approaches 11
- Co-authors
- Daniel E. SpeiserPedro RomeroEddy RoosnekPeter M. LansdorpPetra BaumgaertnerEstelle DevêvreJean‐Charles CerottiniDonata Rimoldi
- Cited by
- ImmunologyOncologyAging
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (4 papers)
- Partner nations
- SwitzerlandUnited StatesBelgium
In The Last Decade
Nathalie Rufer
114 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 5.6k
- Oncology 3.1k
- Aging 172
- Virology 320
- Hematology 646
Countries citing papers authored by Nathalie Rufer
This map shows the geographic impact of Nathalie Rufer'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 Nathalie Rufer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Rufer more than expected).
Fields of papers citing papers by Nathalie Rufer
This network shows the impact of papers produced by Nathalie Rufer. 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 Nathalie Rufer. The network helps show where Nathalie Rufer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathalie Rufer, 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 | 2 | |
| 2 | 2022 | 5 | |
| 3 | 2019 | 33 | |
| 4 | 2016 | 19 | |
| 5 | 2015 | 149 | |
| 6 | 2015 | 76 | |
| 7 | 2015 | 38 | |
| 8 | Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patientsbreakdown → | 2011 | 650 |
| 9 | 2009 | 34 | |
| 10 | 2009 | 58 | |
| 11 | 2007 | 35 | |
| 12 | 2007 | 14 | |
| 13 | 2006 | 16 | |
| 14 | 2006 | 6 | |
| 15 | 2006 | 28 | |
| 16 | 2005 | 36 | |
| 17 | Rapid and strong human CD8+ T cell responses to vaccination with peptide, IFA, and CpG oligodeoxynucleotide 7909breakdown → | 2005 | 514 |
| 18 | 2005 | 25 | |
| 19 | 2004 | 19 | |
| 20 | 2000 | 2 |
About Nathalie Rufer
Nathalie Rufer is a scholar working on Immunology, Oncology and Hematology, having authored 114 papers that have together received 8.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (62 papers), T-cell and B-cell Immunology (59 papers), Immune Cell Function and Interaction (56 papers), CAR-T cell therapy research (35 papers), Telomeres, Telomerase, and Senescence (15 papers), Cytomegalovirus and herpesvirus research (13 papers), vaccines and immunoinformatics approaches (11 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Immunology (5.6k citations), Oncology (3.1k citations) and Aging (172 citations). Nathalie Rufer has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Daniel E. Speiser, Pedro Romero, Eddy Roosnek, Peter M. Lansdorp, Petra Baumgaertner, Estelle Devêvre, Jean‐Charles Cerottini, Donata Rimoldi, Tim H. Brümmendorf and Danielle Líénard. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.