J.M. Schouten
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
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- Fatty Acid Research and Health
Papers in
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- Escherichia coli research studies 5
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- Salmonella and Campylobacter epidemiology 5
- Co-authors
- A.W. van de Giessen (6 shared papers)K. Frankena (6 shared papers)E.A.M. Graat (6 shared papers)M.C.M. de Jong (5 shared papers)Jacoba M.S. Renkema (1 shared paper)E.J. Bakker (1 shared paper)P. van’t Veer (1 shared paper)Anouk Geelen (1 shared paper)
- Journals
- Preventive Veterinary Medicine (2 papers)Epidemiology and Infection (1 paper)American Journal of Epidemiology (1 paper)Veterinary Microbiology (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
J.M. Schouten
9 papers receiving 306 citations
Peers
Comparison fields: 5 of 72
- Endocrinology 91
- Nutrition and Dietetics 80
- Small Animals 37
- Food Science 87
- Infectious Diseases 77
Countries citing papers authored by J.M. Schouten
This map shows the geographic impact of J.M. Schouten'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 J.M. Schouten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Schouten more than expected).
Fields of papers citing papers by J.M. Schouten
This network shows the impact of papers produced by J.M. Schouten. 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 J.M. Schouten. The network helps show where J.M. Schouten may publish in the future.
Co-authors
The 22 scholars most cited alongside J.M. Schouten, 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 | 2007 | 138 | |
| 2 | 1997 | 47 | |
| 3 | 2004 | 45 | |
| 4 | 2005 | 34 | |
| 5 | 2005 | 22 | |
| 6 | Surveillance of zoonotic bacteria in farm animals in The Netherlands. Results from January 1998 until December 2000 | 2003 | 21 |
| 7 | 2008 | 9 | |
| 8 | Monitoring STEC O157 in dairy cows and veal calves: Prevalences, trends and risk factors | 2003 | 1 |
| 9 | Risk factor analysis of Escherichia coli O157 on Dutch dairy farms | 2001 | 1 |
About J.M. Schouten
J.M. Schouten is a scholar working on Endocrinology, Food Science, Infectious Diseases, Agronomy and Crop Science and Small Animals, having authored 9 papers that have together received 318 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Escherichia coli research studies (5 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Animal Nutrition and Physiology (1 paper), Animal Disease Management and Epidemiology (1 paper), Nutritional Studies and Diet (1 paper), Animal Behavior and Welfare Studies (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology (91 citations), Nutrition and Dietetics (80 citations), Small Animals (37 citations), Food Science (87 citations) and Infectious Diseases (77 citations). J.M. Schouten has collaborated with scholars based in Netherlands and United States. Frequent co-authors include A.W. van de Giessen, K. Frankena, E.A.M. Graat, M.C.M. de Jong, Jacoba M.S. Renkema, E.J. Bakker, P. van’t Veer, Anouk Geelen, Carlijn B. M. Kamphuis and B. Stam. Their work appears in journals such as Preventive Veterinary Medicine, Epidemiology and Infection, American Journal of Epidemiology, Veterinary Microbiology and Journal of Animal Science.
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.