Patrick Roelli
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
-
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 1
- Oncology 4
- CAR-T cell therapy research 2
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Dietmar Zehn (5 shared papers)Mauro Delorenzi (3 shared papers)Daniel T. Utzschneider (2 shared papers)Francesca Alfei (2 shared papers)Kristiyan Kanev (4 shared papers)Ming Wu (3 shared papers)Katja Steiger (1 shared paper)Percy A. Knolle (1 shared paper)
- Journals
- The Journal of Experimental Medicine (1 paper)Nature (1 paper)Science Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Patrick Roelli
7 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 625
- Oncology 418
- Hepatology 55
- Virology 24
- Molecular Biology 221
Countries citing papers authored by Patrick Roelli
This map shows the geographic impact of Patrick Roelli'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 Patrick Roelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Roelli more than expected).
Fields of papers citing papers by Patrick Roelli
This network shows the impact of papers produced by Patrick Roelli. 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 Patrick Roelli. The network helps show where Patrick Roelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Roelli, 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 | TOX reinforces the phenotype and longevity of exhausted T cells in chronic viral infection Hit paper breakdown → | 2019 | 546 |
| 2 | 2016 | 122 | |
| 3 | 2023 | 91 | |
| 4 | 2019 | 35 | |
| 5 | 2022 | 31 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 11 |
About Patrick Roelli
Patrick Roelli is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 852 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Molecular Biology Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (625 citations), Oncology (418 citations), Hepatology (55 citations), Virology (24 citations) and Molecular Biology (221 citations). Patrick Roelli has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Dietmar Zehn, Mauro Delorenzi, Daniel T. Utzschneider, Francesca Alfei, Kristiyan Kanev, Ming Wu, Katja Steiger, Percy A. Knolle, Hazem E. Ghoneim and Doron Merkler. Their work appears in journals such as The Journal of Experimental Medicine, Nature, Science Immunology, Proceedings of the National Academy of Sciences and Nature Biotechnology.
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.