Janko van Beek
- Infectious Diseases top 1%
- Animal Science and Zoology top 1%
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 10%
- Co-authors
- Marion KoopmansMiranda de GraafHarry VennemaJan VinjéPeter A. WhiteJoanne HewittNobuhiro IritaniKatia Ambert‐Balay
- Topics
- Viral gastroenteritis research and epidemiology (13 papers)SARS-CoV-2 and COVID-19 Research (11 papers)SARS-CoV-2 detection and testing (11 papers)
- 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
- Epidemiology 417
- Cardiology and Cardiovascular Medicine 361
- Genetics 287
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 of co-authors of Janko van Beek
This figure shows the co-authorship network connecting the top 25 collaborators of Janko van Beek. A scholar is included among the top collaborators of Janko van Beek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janko van Beek. Janko van Beek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | From more testing to smart testing:data-guided SARS-CoV-2 testing choices, the Netherlands, May to September 2020 | 7 |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 15 | |
| 9 | 43 | |
| 10 | 24 | |
| 11 | Human norovirus transmission and evolution in a changing worldbreakdown → | 325 |
| 12 | 36 | |
| 13 | 35 | |
| 14 | 18 | |
| 15 | 43 | |
| 16 | 34 | |
| 17 | 13 | |
| 18 | 40 | |
| 19 | 5 | |
| 20 | 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) and SARS-CoV-2 detection and testing (11 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.