Ben Wit
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 9
-
- Viral gastroenteritis research and epidemiology 5
- Clostridium difficile and Clostridium perfringens research 3
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Dik Mevius (6 shared papers)Wilfrid van Pelt (2 shared papers)Miriam Koene (1 shared paper)N. Bondt (1 shared paper)Xander W. Huijsdens (1 shared paper)J.T.M. Zwartkruis-Nahuis (1 shared paper)E de Boer (1 shared paper)Albert J. de Neeling (1 shared paper)
- Journals
- PLoS ONE (3 papers)International Journal of Food Microbiology (2 papers)One Health (1 paper)Journal of Antimicrobial Chemotherapy (1 paper)Clinical Microbiology and Infection (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Ben Wit
16 papers receiving 860 citations
Peers
Comparison fields: 5 of 65
- Molecular Medicine 307
- Endocrinology 146
- Infectious Diseases 355
- Food Science 331
- Clinical Biochemistry 124
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 | 332 | |
| 2 | MARAN 2003 : monitoring of antimicrobial resistance and antibiotic usage in animals in the Netherlands in 2003 | 2005 | 198 |
| 3 | 2019 | 50 | |
| 4 | 2014 | 44 | |
| 5 | 2016 | 42 | |
| 6 | 2019 | 39 | |
| 7 | 2013 | 38 | |
| 8 | 2021 | 33 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 25 | |
| 11 | 2019 | 21 | |
| 12 | 2021 | 20 | |
| 13 | [Salmonella in eggs]. | 2000 | 11 |
| 14 | 2023 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Ben Wit
Ben Wit is a scholar working on Molecular Medicine, Infectious Diseases, Food Science, Endocrinology and Ecology, having authored 18 papers that have together received 896 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Salmonella and Campylobacter epidemiology (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Bacteriophages and microbial interactions (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Mycobacterium research and diagnosis (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Pharmaceutical and Antibiotic Environmental Impacts (2 papers). The work is most often cited by research in Molecular Medicine (307 citations), Endocrinology (146 citations), Infectious Diseases (355 citations), Food Science (331 citations) and Clinical Biochemistry (124 citations). Ben Wit has collaborated with scholars based in Netherlands. Frequent co-authors include Dik Mevius, Wilfrid van Pelt, Miriam Koene, N. Bondt, Xander W. Huijsdens, J.T.M. Zwartkruis-Nahuis, E de Boer, Albert J. de Neeling, Thijs Bosch and Antonia Vila. Their work appears in journals such as PLoS ONE, International Journal of Food Microbiology, One Health, Journal of Antimicrobial Chemotherapy and Clinical Microbiology 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.