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 5%
- 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
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
- Co-authors
- Dietmar Zehn (5 shared papers)Mauro Delorenzi (3 shared papers)Francesca Alfei (2 shared papers)Daniel T. Utzschneider (2 shared papers)Kristiyan Kanev (4 shared papers)Ming Wu (3 shared papers)Dirk Wohlleber (1 shared paper)Maike Hofmann (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Biotechnology (1 paper)The Journal of Experimental Medicine (1 paper)Nature (1 paper)Science Immunology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Patrick Roelli
7 papers receiving 898 citations
Patrick Roelli's Hit Papers
Peers
Comparison fields: 5 of 59
- Immunology 607
- Oncology 420
- Hepatology 50
- Virology 21
- Molecular Biology 228
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 | 574 |
| 2 | 2016 | 126 | |
| 3 | 2023 | 104 | |
| 4 | 2019 | 36 | |
| 5 | 2022 | 33 | |
| 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 900 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers), Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Immunology (607 citations), Oncology (420 citations), Hepatology (50 citations), Virology (21 citations) and Molecular Biology (228 citations). Patrick Roelli has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Dietmar Zehn, Mauro Delorenzi, Francesca Alfei, Daniel T. Utzschneider, Kristiyan Kanev, Ming Wu, Dirk Wohlleber, Maike Hofmann, Yiping Fan and Katja Steiger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology, The Journal of Experimental Medicine, Nature and Science Immunology.
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.