Wim Wannet
- Infectious Diseases top 5%
- Molecular Biology
- Clinical Biochemistry top 2%
- Food Science top 10%
- Endocrinology top 5%
- Co-authors
- Max HeckAlbert J. de NeelingEmile SpalburgAndreas VoßGerlinde PluisterXander W. HuijsdensMarga G. van Santen-VerheuvelArnt Schellekens
- Topics
- Antimicrobial Resistance in Staphylococcus (6 papers)Salmonella and Campylobacter epidemiology (3 papers)Mycobacterium research and diagnosis (3 papers)
- Journals
- Journal of Clinical MicrobiologyEmerging infectious diseasesInternational Journal of Food Microbiology
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Wim Wannet
14 papers receiving 616 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 417
- Molecular Biology 260
- Clinical Biochemistry 182
- Food Science 136
- Endocrinology 128
Countries citing papers authored by Wim Wannet
This map shows the geographic impact of Wim Wannet'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 Wim Wannet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim Wannet more than expected).
Fields of papers citing papers by Wim Wannet
This network shows the impact of papers produced by Wim Wannet. 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 Wim Wannet. The network helps show where Wim Wannet may publish in the future.
Co-authorship network of co-authors of Wim Wannet
This figure shows the co-authorship network connecting the top 25 collaborators of Wim Wannet. A scholar is included among the top collaborators of Wim Wannet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wim Wannet. Wim Wannet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 43 | |
| 3 | Pneumonia and new methicillin-resistant Staphylococcus aureus clone. | 4 |
| 4 | [Antibiotic resistance in Escherichia coli O157 isolated between 1998 and 2003 in The Netherlands]. | 13 |
| 5 | 281 | |
| 6 | 50 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 45 | |
| 10 | 39 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 55 | |
| 14 | 16 |
About Wim Wannet
Wim Wannet is a scholar working on Endocrinology, Infectious Diseases and Molecular Medicine, having authored 14 papers that have together received 655 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Salmonella and Campylobacter epidemiology (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Clinical Biochemistry (182 citations), Endocrinology (128 citations) and Infectious Diseases (417 citations). Wim Wannet has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Max Heck, Albert J. de Neeling, Emile Spalburg, Andreas Voß, Gerlinde Pluister, Xander W. Huijsdens, Marga G. van Santen-Verheuvel, Arnt Schellekens, H.M.E. Maas and Rama Kamal. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases and International Journal of Food Microbiology.
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.