Janko van Beek
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 13
- SARS-CoV-2 and COVID-19 Research 11
- SARS-CoV-2 detection and testing 11
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies 5
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 5
- Hepatology top 5%
-
- Respiratory viral infections research 9
- Influenza Virus Research Studies 7
-
- Animal Disease Management and Epidemiology 4
- Co-authors
- Marion KoopmansMiranda de GraafHarry VennemaJan VinjéPeter A. WhiteJoanne HewittNobuhiro IritaniKatia Ambert‐Balay
- Partner nations
- NetherlandsUnited KingdomSweden
In The Last Decade
Janko van Beek
39 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Infectious Diseases 1.4k
- Animal Science and Zoology 495
- Modeling and Simulation 105
- Hepatology 126
- Cardiology and Cardiovascular Medicine 361
Countries citing papers authored by Janko van Beek
This map shows the geographic impact of Janko van Beek'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 Janko van Beek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janko van Beek more than expected).
Fields of papers citing papers by Janko van Beek
This network shows the impact of papers produced by Janko van Beek. 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 Janko van Beek. The network helps show where Janko van Beek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janko van Beek, 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 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | From more testing to smart testing:data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020 | 2022 | 7 |
| 5 | 2022 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 43 | |
| 10 | 2017 | 24 | |
| 11 | Human norovirus transmission and evolution in a changing worldbreakdown → | 2016 | 325 |
| 12 | 2016 | 36 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 18 | |
| 15 | 2014 | 43 | |
| 16 | 2013 | 34 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 40 | |
| 19 | 2012 | 5 | |
| 20 | 2011 | 71 |
About Janko van Beek
Janko van Beek is a scholar working on Infectious Diseases, Modeling and Simulation and Animal Science and Zoology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), SARS-CoV-2 detection and testing (11 papers), Respiratory viral infections research (9 papers), Influenza Virus Research Studies (7 papers), COVID-19 epidemiological studies (5 papers), Animal Virus Infections Studies (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Animal Science and Zoology (495 citations) and Modeling and Simulation (105 citations). Janko van Beek has collaborated with scholars based in Netherlands, United Kingdom and Sweden. Frequent co-authors include Marion Koopmans, Miranda de Graaf, Harry Vennema, Jan Vinjé, Peter A. White, Joanne Hewitt, Nobuhiro Iritani, Katia Ambert‐Balay, Erwin de Bruin and Annelies Kroneman. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and Neurology.
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.