Piet Maes
Impact in
- Infectious Diseases top 0.1%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies
Papers in
-
- Viral Infections and Vectors 52
- SARS-CoV-2 and COVID-19 Research 43
- Viral gastroenteritis research and epidemiology 36
- Viral Infections and Outbreaks Research 27
- COVID-19 Clinical Research Studies 18
- Co-authors
- Marc Van RanstEls KeyaertsJelle MatthijnssensLeen VijgenJohan NeytsMustafizur RahmanJan ClémentPhilippe Lemey
- Journals
- Viruses (10 papers)Journal of General Virology (8 papers)Scientific Reports (7 papers)Virus Evolution (6 papers)Antiviral Research (6 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Piet Maes
179 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Infectious Diseases 5.1k
- Animal Science and Zoology 1.4k
- Hepatology 673
- Epidemiology 1.7k
- Cardiology and Cardiovascular Medicine 1.0k
Countries citing papers authored by Piet Maes
This map shows the geographic impact of Piet Maes'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 Piet Maes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piet Maes more than expected).
Fields of papers citing papers by Piet Maes
This network shows the impact of papers produced by Piet Maes. 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 Piet Maes. The network helps show where Piet Maes may publish in the future.
Co-authors
The 25 scholars most cited alongside Piet Maes, 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 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 13 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 19 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 134 | |
| 16 | 2020 | 51 | |
| 17 | Symptomatic SARS-CoV-2 reinfection by a phylogenetically distinct strain. | 2020 | 85 |
| 18 | 2019 | 57 | |
| 19 | 2015 | 134 | |
| 20 | Model-based prediction of nephropathia epidemica outbreaks in Belgium based on climatological and vegetation data | 2012 | 1 |
About Piet Maes
Piet Maes is a scholar working on Infectious Diseases, Modeling and Simulation, Animal Science and Zoology, Hepatology and Endocrinology, having authored 190 papers that have together received 7.5k indexed citations. Recurring topics across this work include Viral Infections and Vectors (52 papers), SARS-CoV-2 and COVID-19 Research (43 papers), Viral gastroenteritis research and epidemiology (36 papers), Viral Infections and Outbreaks Research (27 papers), Animal Virus Infections Studies (25 papers), Fire effects on ecosystems (24 papers), Hepatitis C virus research (18 papers) and COVID-19 Clinical Research Studies (18 papers). The work is most often cited by research in Infectious Diseases (5.1k citations), Animal Science and Zoology (1.4k citations), Hepatology (673 citations), Epidemiology (1.7k citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Piet Maes has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Marc Van Ranst, Els Keyaerts, Jelle Matthijnssens, Leen Vijgen, Johan Neyts, Mustafizur Rahman, Jan Clément, Philippe Lemey, Bert Vanmechelen and Lies Laenen. Their work appears in journals such as Viruses, Journal of General Virology, Scientific Reports, Virus Evolution and Antiviral Research.
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.