Wim Wannet

925 citations
14 papers · 655 indexed · h-index 12

Wim Wannet

14 papers receiving 616 citations

Peers

Wim Wannet
Comparison fields: 5 of 73
  • Clinical Biochemistry 182
  • Endocrinology 128
  • Infectious Diseases 417
  • Molecular Medicine 66
  • Microbiology 47
Replace A. Sabat with:
A. Sabat Netherlands
Ilenia Drigo Italy
Oto Melter Czechia
Bernadete Teixeira Ferreira‐Carvalho Brazil
H. Chardón France
Sarah Byrne United Kingdom
D Nashev Bulgaria
Rodrigo Bacigalupe Spain
Eva Grüner Switzerland
Türkân Sakιnç Germany
Wim Wannet relative to A. Sabat Netherlands A. Sabat's profile →
Citations per field
00.5×1.5×1.9×
A. Sabat · 1×
Citations per year

Countries citing papers authored by Wim Wannet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Wim Wannet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wim Wannet Line = papers co-authored together Wim Wannet links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201640
2 200843
3
Pneumonia and new methicillin-resistant Staphylococcus aureus clone.
20074
4
[Antibiotic resistance in Escherichia coli O157 isolated between 1998 and 2003 in The Netherlands].
200713
5 2006281
6 200650
7 200524
8 20056
9 200545
10 200339
11 200218
12 200221
13 200255
14 200016

About Wim Wannet

Wim Wannet is a scholar working on Endocrinology, Infectious Diseases, Molecular Medicine, Microbiology and Clinical Biochemistry, 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), Mycobacterium research and diagnosis (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Bacterial Identification and Susceptibility Testing (2 papers), Bacterial biofilms and quorum sensing (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Clinical Biochemistry (182 citations), Endocrinology (128 citations), Infectious Diseases (417 citations), Molecular Medicine (66 citations) and Microbiology (47 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 European Journal of Clinical Microbiology & Infectious Diseases, Journal of Clinical Microbiology, International Journal of Food Microbiology, Annals of Clinical Microbiology and Antimicrobials 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.

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