Frank A. W. Verreck
- Immunology top 0.5%
- Immune Cell Function and Interaction 22
- Immunotherapy and Immune Responses 19
- T-cell and B-cell Immunology 15
- Immune Response and Inflammation 9
- Immune responses and vaccinations 8
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology 25
- Oncology top 2%
- Epidemiology top 2%
- Mycobacterium research and diagnosis 13
- Virology top 5%
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- vaccines and immunoinformatics approaches 8
- Co-authors
- Tom H. M. OttenhoffTjitske de BoerMarieke A. HoeveDennis M. L. LangenbergRené de Waal MalefytFrits KoningPeter A. van VeelenJacques Neefjes
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (5 papers)Nature Medicine (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Frank A. W. Verreck
64 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 3.4k
- Infectious Diseases 1.3k
- Oncology 1.6k
- Epidemiology 1.1k
- Virology 125
Countries citing papers authored by Frank A. W. Verreck
This map shows the geographic impact of Frank A. W. Verreck'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 Frank A. W. Verreck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank A. W. Verreck more than expected).
Fields of papers citing papers by Frank A. W. Verreck
This network shows the impact of papers produced by Frank A. W. Verreck. 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 Frank A. W. Verreck. The network helps show where Frank A. W. Verreck may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank A. W. Verreck, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 15 | |
| 6 | 2019 | 194 | |
| 7 | 2018 | 52 | |
| 8 | 2018 | 46 | |
| 9 | 2015 | 21 | |
| 10 | 2015 | 91 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 20 | |
| 13 | 2008 | 20 | |
| 14 | Radiation modulates the peptide repertoire, enhances MHC class I expression, and induces successful antitumor immunotherapybreakdown → | 2006 | 1346 |
| 15 | 2004 | 36 | |
| 16 | 2002 | 27 | |
| 17 | 2001 | 22 | |
| 18 | 2000 | 67 | |
| 19 | 2000 | 45 | |
| 20 | 1996 | 39 |
About Frank A. W. Verreck
Frank A. W. Verreck is a scholar working on Immunology, Infectious Diseases and Epidemiology, having authored 64 papers that have together received 5.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Immune Cell Function and Interaction (22 papers), Immunotherapy and Immune Responses (19 papers), T-cell and B-cell Immunology (15 papers), Mycobacterium research and diagnosis (13 papers), Immune Response and Inflammation (9 papers), Immune responses and vaccinations (8 papers) and vaccines and immunoinformatics approaches (8 papers). The work is most often cited by research in Immunology (3.4k citations), Infectious Diseases (1.3k citations) and Oncology (1.6k citations). Frank A. W. Verreck has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Tom H. M. Ottenhoff, Tjitske de Boer, Marieke A. Hoeve, Dennis M. L. Langenberg, René de Waal Malefyt, Frits Koning, Peter A. van Veelen, Jacques Neefjes, Alexander Griekspoor and Hergen Spits. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.