Tom Woudenberg
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral Infections and Vectors
Papers in
- Health 8
- Vaccine Coverage and Hesitancy 8
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- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 3
- Viral Infections and Vectors 3
- Co-authors
- Susan J.M. Hahné (8 shared papers)Hester E. de Melker (6 shared papers)Jacco Wallinga (5 shared papers)Wilhelmina L.M. Ruijs (3 shared papers)Rob S. van Binnendijk (4 shared papers)Elisabeth A. M. Sanders (1 shared paper)Nicoline van der Maas (2 shared papers)Volker Fingerle (3 shared papers)
- Journals
- Epidemiology and Infection (4 papers)Eurosurveillance (3 papers)The Journal of Infectious Diseases (3 papers)Vaccine (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- NetherlandsFranceGermany
In The Last Decade
Tom Woudenberg
26 papers receiving 699 citations
Peers
Comparison fields: 5 of 80
- Modeling and Simulation 188
- Infectious Diseases 339
- Parasitology 60
- Health 68
- Epidemiology 157
Countries citing papers authored by Tom Woudenberg
This map shows the geographic impact of Tom Woudenberg'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 Tom Woudenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Woudenberg more than expected).
Fields of papers citing papers by Tom Woudenberg
This network shows the impact of papers produced by Tom Woudenberg. 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 Tom Woudenberg. The network helps show where Tom Woudenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Woudenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 324 | |
| 2 | 2017 | 55 | |
| 3 | 2021 | 54 | |
| 4 | 2021 | 37 | |
| 5 | 2020 | 28 | |
| 6 | 2021 | 26 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2016 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2017 | 6 |
About Tom Woudenberg
Tom Woudenberg is a scholar working on Health, Infectious Diseases, Epidemiology, Parasitology and Immunology, having authored 26 papers that have together received 712 indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Vaccine Coverage and Hesitancy (8 papers), COVID-19 Clinical Research Studies (5 papers), Immune responses and vaccinations (4 papers), SARS-CoV-2 detection and testing (3 papers), Vector-borne infectious diseases (3 papers) and Viral Infections and Vectors (3 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Infectious Diseases (339 citations), Parasitology (60 citations), Health (68 citations) and Epidemiology (157 citations). Tom Woudenberg has collaborated with scholars based in Netherlands, France and Germany. Frequent co-authors include Susan J.M. Hahné, Hester E. de Melker, Jacco Wallinga, Wilhelmina L.M. Ruijs, Rob S. van Binnendijk, Elisabeth A. M. Sanders, Nicoline van der Maas, Volker Fingerle, H.E. de Melker and Merle M. Böhmer. Their work appears in journals such as Epidemiology and Infection, Eurosurveillance, The Journal of Infectious Diseases, Vaccine and Frontiers in Microbiology.
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.