Nathalie Rufer
- Immunology top 0.2%
- Oncology top 0.5%
- Molecular Biology top 5%
- Epidemiology top 2%
- Physiology top 2%
- Co-authors
- Daniel E. SpeiserPedro RomeroEddy RoosnekPeter M. LansdorpPetra BaumgaertnerEstelle DevêvreJean‐Charles CerottiniDonata Rimoldi
- Topics
- Immunotherapy and Immune Responses (62 papers)T-cell and B-cell Immunology (59 papers)Immune Cell Function and Interaction (56 papers)
- Cited by
- ImmunologyOncologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- 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
- Molecular Biology 1.9k
- Epidemiology 1.3k
- Physiology 1.2k
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 of co-authors of Nathalie Rufer
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Rufer. A scholar is included among the top collaborators of Nathalie Rufer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathalie Rufer. Nathalie Rufer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 33 | |
| 4 | 19 | |
| 5 | 149 | |
| 6 | 76 | |
| 7 | 38 | |
| 8 | Exhaustion of tumor-specific CD8+ T cells in metastases from melanoma patientsbreakdown → | 650 |
| 9 | 34 | |
| 10 | 58 | |
| 11 | 35 | |
| 12 | 14 | |
| 13 | 16 | |
| 14 | 6 | |
| 15 | 28 | |
| 16 | 36 | |
| 17 | Rapid and strong human CD8+ T cell responses to vaccination with peptide, IFA, and CpG oligodeoxynucleotide 7909breakdown → | 514 |
| 18 | 25 | |
| 19 | 19 | |
| 20 | 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) and Immune Cell Function and Interaction (56 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.