Ben de Wet
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- CAR-T cell therapy research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Thomas Harder (3 shared papers)Tobias Zech (2 shared papers)Christer S. Ejsing (1 shared paper)Katharina Gaus (1 shared paper)Andrej Shevchenko (1 shared paper)Kai Simons (1 shared paper)Bernard Alexander Prior (2 shared papers)Oreste Acuto (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Biophysical Journal (2 papers)European Journal of Immunology (1 paper)Infection and Immunity (1 paper)PLoS Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Ben de Wet
15 papers receiving 576 citations
Peers
Comparison fields: 5 of 66
- Immunology 290
- Oncology 125
- Structural Biology 6
- Molecular Biology 274
- Biotechnology 27
Countries citing papers authored by Ben de Wet
This map shows the geographic impact of Ben de Wet'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 Ben de Wet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben de Wet more than expected).
Fields of papers citing papers by Ben de Wet
This network shows the impact of papers produced by Ben de Wet. 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 Ben de Wet. The network helps show where Ben de Wet may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben de Wet, 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 | 2009 | 245 | |
| 2 | 2013 | 68 | |
| 3 | 2020 | 68 | |
| 4 | 1997 | 64 | |
| 5 | 2005 | 29 | |
| 6 | 2013 | 27 | |
| 7 | 2016 | 20 | |
| 8 | 2010 | 19 | |
| 9 | 2009 | 12 | |
| 10 | 2004 | 11 | |
| 11 | 2019 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2023 | 6 | |
| 14 | 2008 | 3 | |
| 15 | 2024 | 1 |
About Ben de Wet
Ben de Wet is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Biotechnology, Oncology and Molecular Biology, having authored 15 papers that have together received 592 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Enzyme Production and Characterization (2 papers), Receptor Mechanisms and Signaling (2 papers) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Immunology (290 citations), Oncology (125 citations), Structural Biology (6 citations), Molecular Biology (274 citations) and Biotechnology (27 citations). Ben de Wet has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Thomas Harder, Tobias Zech, Christer S. Ejsing, Katharina Gaus, Andrej Shevchenko, Kai Simons, Bernard Alexander Prior, Oreste Acuto, Mario R. Ehlers and Mamadou Daffé. Their work appears in journals such as Journal of Biological Chemistry, Biophysical Journal, European Journal of Immunology, Infection and Immunity and PLoS Biology.
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.