Ben Wit
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 8
-
- Salmonella and Campylobacter epidemiology 7
- Co-authors
- Dik Mevius (6 shared papers)Wilfrid van Pelt (2 shared papers)Miriam Koene (1 shared paper)N. Bondt (1 shared paper)Thijs Bosch (1 shared paper)Albert J. de Neeling (1 shared paper)J.T.M. Zwartkruis-Nahuis (1 shared paper)E de Boer (1 shared paper)
- Journals
- PLoS ONE (3 papers)International Journal of Food Microbiology (2 papers)Eurosurveillance (1 paper)One Health (1 paper)Epidemiology and Infection (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Ben Wit
17 papers receiving 905 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 289
- Endocrinology 123
- Infectious Diseases 363
- Food Science 339
- Clinical Biochemistry 114
Countries citing papers authored by Ben Wit
This map shows the geographic impact of Ben Wit'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 Ben Wit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Wit more than expected).
Fields of papers citing papers by Ben Wit
This network shows the impact of papers produced by Ben Wit. 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 Ben Wit. The network helps show where Ben Wit may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Wit, 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 | 2008 | 353 | |
| 2 | MARAN 2003 : monitoring of antimicrobial resistance and antibiotic usage in animals in the Netherlands in 2003 | 2005 | 205 |
| 3 | 2019 | 51 | |
| 4 | 2014 | 46 | |
| 5 | 2016 | 44 | |
| 6 | 2021 | 40 | |
| 7 | 2019 | 40 | |
| 8 | 2013 | 39 | |
| 9 | 2019 | 34 | |
| 10 | 2018 | 28 | |
| 11 | 2021 | 23 | |
| 12 | 2019 | 21 | |
| 13 | [Salmonella in eggs]. | 2000 | 11 |
| 14 | 2023 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 0 |
About Ben Wit
Ben Wit is a scholar working on Molecular Medicine, Food Science, Infectious Diseases, Endocrinology and Pollution, having authored 18 papers that have together received 949 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers), Escherichia coli research studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Molecular Medicine (289 citations), Endocrinology (123 citations), Infectious Diseases (363 citations), Food Science (339 citations) and Clinical Biochemistry (114 citations). Ben Wit has collaborated with scholars based in Netherlands. Frequent co-authors include Dik Mevius, Wilfrid van Pelt, Miriam Koene, N. Bondt, Thijs Bosch, Albert J. de Neeling, J.T.M. Zwartkruis-Nahuis, E de Boer, Xander W. Huijsdens and Antonia Vila. Their work appears in journals such as PLoS ONE, International Journal of Food Microbiology, Eurosurveillance, One Health and Epidemiology and Infection.
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.