Tom Woudenberg
Impact in
- Health top 10%
- Vaccine Coverage and Hesitancy
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 10
- Virology and Viral Diseases 10
- Health 9
- Vaccine Coverage and Hesitancy 9
- Co-authors
- Susan Hahné (8 shared papers)Hester E. de Melker (6 shared papers)Jacco Wallinga (5 shared papers)Wilhelmina L.M. Ruijs (3 shared papers)Rob van Binnendijk (4 shared papers)Elisabeth A. M. Sanders (1 shared paper)Nicoline van der Maas (2 shared papers)Merle M. Böhmer (3 shared papers)
- Journals
- Epidemiology and Infection (4 papers)The Journal of Infectious Diseases (2 papers)Eurosurveillance (2 papers)Vaccine (1 paper)Viruses (1 paper)
- Partner nations
- NetherlandsSwedenGermany
In The Last Decade
Tom Woudenberg
16 papers receiving 209 citations
Peers
Comparison fields: 5 of 49
- Health 89
- Modeling and Simulation 36
- Parasitology 48
- Infectious Diseases 94
- Epidemiology 107
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 50 | |
| 2 | 2020 | 26 | |
| 3 | 2015 | 21 | |
| 4 | 2021 | 17 | |
| 5 | 2015 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2016 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 |
About Tom Woudenberg
Tom Woudenberg is a scholar working on Epidemiology, Health, Infectious Diseases, Immunology and Parasitology, having authored 16 papers that have together received 211 indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), Vaccine Coverage and Hesitancy (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immune responses and vaccinations (4 papers), COVID-19 Clinical Research Studies (3 papers), Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Health (89 citations), Modeling and Simulation (36 citations), Parasitology (48 citations), Infectious Diseases (94 citations) and Epidemiology (107 citations). Tom Woudenberg has collaborated with scholars based in Netherlands, Sweden and Germany. Frequent co-authors include Susan Hahné, Hester E. de Melker, Jacco Wallinga, Wilhelmina L.M. Ruijs, Rob van Binnendijk, Elisabeth A. M. Sanders, Nicoline van der Maas, Merle M. Böhmer, Volker Fingerle and Katharina Katz. Their work appears in journals such as Epidemiology and Infection, The Journal of Infectious Diseases, Eurosurveillance, Vaccine and Viruses.
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.