Peter Teunis
Impact in
- Infectious Diseases top 0.2%
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
Papers in
-
- Viral gastroenteritis research and epidemiology 51
- Food Science 32
- Salmonella and Campylobacter epidemiology 31
- Co-authors
- Mirjam Kretzschmar (23 shared papers)Arie H. Havelaar (11 shared papers)Jacco Wallinga (12 shared papers)Christine L. Moe (12 shared papers)Jacques Le Pendu (2 shared papers)Pengbo Liu (4 shared papers)Gertjan Medema (4 shared papers)Charles N. Haas (3 shared papers)
- Journals
- Epidemiology and Infection (20 papers)Risk Analysis (14 papers)Epidemics (12 papers)Water Research (9 papers)PLoS ONE (7 papers)
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Peter Teunis
163 papers receiving 7.9k citations
Peter Teunis's Hit Papers
Peers
Comparison fields: 5 of 174
- Infectious Diseases 3.3k
- Modeling and Simulation 676
- Parasitology 809
- Microbiology 695
- Endocrinology 481
Countries citing papers authored by Peter Teunis
This map shows the geographic impact of Peter Teunis'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 Peter Teunis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Teunis more than expected).
Fields of papers citing papers by Peter Teunis
This network shows the impact of papers produced by Peter Teunis. 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 Peter Teunis. The network helps show where Peter Teunis may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Teunis, 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 166 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Norwalk virus: How infectious is it? Hit paper breakdown → | 2008 | 935 |
| 2 | 2006 | 481 | |
| 3 | 2008 | 334 | |
| 4 | 2000 | 285 | |
| 5 | 2009 | 265 | |
| 6 | 2014 | 192 | |
| 7 | 1997 | 178 | |
| 8 | 1998 | 162 | |
| 9 | 2005 | 149 | |
| 10 | 2004 | 148 | |
| 11 | 1996 | 146 | |
| 12 | 2005 | 138 | |
| 13 | 1999 | 137 | |
| 14 | 2007 | 136 | |
| 15 | 2010 | 129 | |
| 16 | 2011 | 126 | |
| 17 | 1999 | 122 | |
| 18 | 2010 | 117 | |
| 19 | 2010 | 100 | |
| 20 | 2012 | 98 |
About Peter Teunis
Peter Teunis is a scholar working on Infectious Diseases, Food Science, Epidemiology, Parasitology and Microbiology, having authored 166 papers that have together received 8.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (51 papers), Salmonella and Campylobacter epidemiology (31 papers), Fecal contamination and water quality (15 papers), Bacterial Infections and Vaccines (15 papers), COVID-19 epidemiological studies (12 papers), Listeria monocytogenes in Food Safety (11 papers), Vector-borne infectious diseases (11 papers) and Respiratory viral infections research (10 papers). The work is most often cited by research in Infectious Diseases (3.3k citations), Modeling and Simulation (676 citations), Parasitology (809 citations), Microbiology (695 citations) and Endocrinology (481 citations). Peter Teunis has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Mirjam Kretzschmar, Arie H. Havelaar, Jacco Wallinga, Christine L. Moe, Jacques Le Pendu, Pengbo Liu, Gertjan Medema, Charles N. Haas, Rebecca L. Calderon and Marianne A. B. van der Sande. Their work appears in journals such as Epidemiology and Infection, Risk Analysis, Epidemics, Water Research and PLoS ONE.
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.