Ben Wit
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Antibiotic Resistance in Bacteria 10
-
- Enterobacteriaceae and Cronobacter Research 3
- Escherichia coli research studies 2
- Co-authors
- Kees T. Veldman (10 shared papers)Dik J. Mevius (7 shared papers)Xander W. Huijsdens (1 shared paper)Albert J. de Neeling (1 shared paper)Thijs Bosch (1 shared paper)Antonia Vila (1 shared paper)Annet Heuvelink (1 shared paper)J.T.M. Zwartkruis-Nahuis (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Antimicrobial Chemotherapy (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)International Journal of Food Microbiology (2 papers)Eurosurveillance (1 paper)
- Partner nations
- Netherlands
In The Last Decade
Ben Wit
20 papers receiving 853 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 323
- Endocrinology 164
- Infectious Diseases 355
- Food Science 327
- Clinical Biochemistry 116
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 357 | |
| 2 | 2016 | 82 | |
| 3 | 2019 | 51 | |
| 4 | 2016 | 50 | |
| 5 | 2014 | 47 | |
| 6 | 2021 | 43 | |
| 7 | 2013 | 40 | |
| 8 | 2019 | 40 | |
| 9 | 2019 | 37 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 28 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2022 | 19 | |
| 15 | [Salmonella in eggs]. | 2000 | 10 |
| 16 | 2023 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Ben Wit
Ben Wit is a scholar working on Molecular Medicine, Endocrinology, Food Science, Infectious Diseases and Clinical Biochemistry, having authored 21 papers that have together received 903 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Salmonella and Campylobacter epidemiology (8 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Escherichia coli research studies (2 papers), Bacteriophages and microbial interactions (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Molecular Medicine (323 citations), Endocrinology (164 citations), Infectious Diseases (355 citations), Food Science (327 citations) and Clinical Biochemistry (116 citations). Ben Wit has collaborated with scholars based in Netherlands. Frequent co-authors include Kees T. Veldman, Dik J. Mevius, Xander W. Huijsdens, Albert J. de Neeling, Thijs Bosch, Antonia Vila, Annet Heuvelink, J.T.M. Zwartkruis-Nahuis, Enne De Boer and Alieda van Essen-Zandbergen. Their work appears in journals such as PLoS ONE, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy, International Journal of Food Microbiology and Eurosurveillance.
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.