Benjamin Tschumi
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 3
- Oncology 3
- CAR-T cell therapy research 2
- Lung Cancer Research Studies 1
- Cancer Immunotherapy and Biomarkers 1
- Co-authors
- Pedro Romero (7 shared papers)Alena Donda (6 shared papers)Lianjun Zhang (5 shared papers)Fabien Franco (3 shared papers)Ping‐Chih Ho (3 shared papers)Isabel C. López‐Mejía (2 shared papers)Lluís Fajas (2 shared papers)Mathias Wenes (2 shared papers)
- Journals
- Journal for ImmunoTherapy of Cancer (1 paper)Cell Reports (1 paper)Nature Immunology (1 paper)Cell Metabolism (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Benjamin Tschumi
8 papers receiving 593 citations
Peers
Comparison fields: 5 of 62
- Immunology 340
- Oncology 250
- Cancer Research 104
- Molecular Biology 196
- Biological Psychiatry 5
Countries citing papers authored by Benjamin Tschumi
This map shows the geographic impact of Benjamin Tschumi'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 Benjamin Tschumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Tschumi more than expected).
Fields of papers citing papers by Benjamin Tschumi
This network shows the impact of papers produced by Benjamin Tschumi. 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 Benjamin Tschumi. The network helps show where Benjamin Tschumi may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Tschumi, 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 | 2022 | 141 | |
| 2 | 2020 | 135 | |
| 3 | 2016 | 109 | |
| 4 | 2019 | 61 | |
| 5 | 2018 | 60 | |
| 6 | 2014 | 58 | |
| 7 | 2019 | 30 | |
| 8 | 2022 | 1 |
About Benjamin Tschumi
Benjamin Tschumi is a scholar working on Immunology, Oncology, Molecular Biology, Pharmaceutical Science and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 595 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (2 papers), Adipose Tissue and Metabolism (1 paper), Chemical Reactions and Isotopes (1 paper), Lung Cancer Research Studies (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Immunology (340 citations), Oncology (250 citations), Cancer Research (104 citations), Molecular Biology (196 citations) and Biological Psychiatry (5 citations). Benjamin Tschumi has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Pedro Romero, Alena Donda, Lianjun Zhang, Fabien Franco, Ping‐Chih Ho, Isabel C. López‐Mejía, Lluís Fajas, Mathias Wenes, Michael N. Hall and Markus A. Rüegg. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Cell Reports, Nature Immunology, Cell Metabolism and Frontiers in 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.