David Vermijlen
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Reproductive System and Pregnancy
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 49
- Immune Cell Function and Interaction 44
- T-cell and B-cell Immunology 34
- Immunotherapy and Immune Responses 12
- Reproductive System and Pregnancy 5
- Oncology 10
- CAR-T cell therapy research 6
- Co-authors
- Matthias EberlAdrian HaydayFrancesco DieliEddie WisseArnaud MarchantCatherine DonnerMargreet BrouwerNadia Caccamo
- Journals
- Frontiers in Immunology (5 papers)The Journal of Immunology (3 papers)European Journal of Immunology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
David Vermijlen
61 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 106
- Immunology 2.2k
- Oncology 939
- Hematology 133
- Hepatology 92
- Epidemiology 390
Countries citing papers authored by David Vermijlen
This map shows the geographic impact of David Vermijlen'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 David Vermijlen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vermijlen more than expected).
Fields of papers citing papers by David Vermijlen
This network shows the impact of papers produced by David Vermijlen. 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 David Vermijlen. The network helps show where David Vermijlen may publish in the future.
Co-authors
The 25 scholars most cited alongside David Vermijlen, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 11 | |
| 9 | 2019 | 78 | |
| 10 | 2015 | 68 | |
| 11 | 2014 | 34 | |
| 12 | 2013 | 149 | |
| 13 | 2010 | 167 | |
| 14 | 2009 | 40 | |
| 15 | 2007 | 404 | |
| 16 | 2005 | 62 | |
| 17 | 2004 | 61 | |
| 18 | 2003 | 15 | |
| 19 | 2001 | 13 | |
| 20 | 1997 | 31 |
About David Vermijlen
David Vermijlen is a scholar working on Immunology, Oncology, Epidemiology, Parasitology and Toxicology, having authored 63 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (44 papers), T-cell and B-cell Immunology (34 papers), Immunotherapy and Immune Responses (12 papers), Cytomegalovirus and herpesvirus research (9 papers), CAR-T cell therapy research (6 papers), Reproductive System and Pregnancy (5 papers), Cell death mechanisms and regulation (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology (2.2k citations), Oncology (939 citations), Hematology (133 citations), Hepatology (92 citations) and Epidemiology (390 citations). David Vermijlen has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Matthias Eberl, Adrian Hayday, Francesco Dieli, Eddie Wisse, Arnaud Marchant, Catherine Donner, Margreet Brouwer, Nadia Caccamo, Matilde D’Asaro and Simona Buccheri. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, European Journal of Immunology, Proceedings of the National Academy of Sciences and Journal of Leukocyte 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.