Wouter Scheper
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Immunology 13
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
- Oncology 13
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 4
- Co-authors
- Ton N. Schumacher (6 shared papers)Pia Kvistborg (1 shared paper)Jurgen H. E. Kuball (8 shared papers)Zsolt Sebestyén (7 shared papers)John B.A.G. Haanen (4 shared papers)Cordula Gründer (4 shared papers)Emile E. Voest (3 shared papers)Henry J.M.A.A. Zijlmans (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)Nature Medicine (2 papers)Leukemia (2 papers)Nature Biotechnology (2 papers)Blood (1 paper)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Wouter Scheper
17 papers receiving 1.5k citations
Wouter Scheper's Hit Papers
Peers
Comparison fields: 5 of 53
- Immunology 727
- Oncology 827
- Hematology 126
- Molecular Biology 185
- Cancer Research 37
Countries citing papers authored by Wouter Scheper
This map shows the geographic impact of Wouter Scheper'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 Wouter Scheper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Scheper more than expected).
Fields of papers citing papers by Wouter Scheper
This network shows the impact of papers produced by Wouter Scheper. 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 Wouter Scheper. The network helps show where Wouter Scheper may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Scheper, 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 | Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers Hit paper breakdown → | 2018 | 469 |
| 2 | 2018 | 462 | |
| 3 | 2013 | 169 | |
| 4 | 2016 | 107 | |
| 5 | 2012 | 75 | |
| 6 | 2009 | 43 | |
| 7 | 2013 | 41 | |
| 8 | 2014 | 39 | |
| 9 | 2023 | 32 | |
| 10 | 2024 | 29 | |
| 11 | 2016 | 24 | |
| 12 | 2013 | 12 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2026 | 1 | |
| 18 | 2025 | 0 |
About Wouter Scheper
Wouter Scheper is a scholar working on Immunology, Oncology, Epidemiology, Molecular Biology and Nuclear Energy and Engineering, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Pluripotent Stem Cells Research (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (727 citations), Oncology (827 citations), Hematology (126 citations), Molecular Biology (185 citations) and Cancer Research (37 citations). Wouter Scheper has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Ton N. Schumacher, Pia Kvistborg, Jurgen H. E. Kuball, Zsolt Sebestyén, John B.A.G. Haanen, Cordula Gründer, Emile E. Voest, Henry J.M.A.A. Zijlmans, Sander Kelderman and Carsten Linnemann. Their work appears in journals such as Frontiers in Immunology, Nature Medicine, Leukemia, Nature Biotechnology and Blood.
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.