Wim van Vianen

954 citations
26 papers · 763 indexed · h-index 18

Wim van Vianen

26 papers receiving 745 citations

Peers

Wim van Vianen
Comparison fields: 5 of 92
  • Microbiology 56
  • Molecular Medicine 82
  • Infectious Diseases 276
  • Small Animals 103
  • Pharmaceutical Science 54
Replace Marian T. ten Kate with:
Marian T. ten Kate Netherlands
Süleyha Hilmioğlu Polat Türkiye
Audrey Bernut France
Rachel Chandy Kuwait
Masao Okumoto United States
Mehri Tavakol Netherlands
Mary Petrofsky United States
Chiyoji Abe Japan
Rosie Bocanegra United States
Marı́a de la Paz Santangelo Argentina
Wim van Vianen relative to Marian T. ten Kate Netherlands Marian T. ten Kate's profile →
Citations per field
00.5×1.5×2.2×
Marian T. ten Kate · 1×
Citations per year

Countries citing papers authored by Wim van Vianen

Since Specialization
Citations

This map shows the geographic impact of Wim van Vianen'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 van Vianen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim van Vianen more than expected).

Fields of papers citing papers by Wim van Vianen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim van Vianen. 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 van Vianen. The network helps show where Wim van Vianen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wim van Vianen, 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 van Vianen Line = papers co-authored together Wim van Vianen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201924
2 201029
3 200815
4 200724
5 200644
6 200032
7 199811
8 199840
9 199819
10 199824
11 19988
12 199640
13 199575
14 199516
15 199410
16 199338
17 19934
18 199317
19 199166
20 198746

About Wim van Vianen

Wim van Vianen is a scholar working on Infectious Diseases, Endocrinology, Small Animals, Microbiology and Molecular Medicine, having authored 26 papers that have together received 763 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (9 papers), RNA Interference and Gene Delivery (7 papers), Fungal Infections and Studies (6 papers), Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers), Infant Nutrition and Health (3 papers), Helminth infection and control (3 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Microbiology (56 citations), Molecular Medicine (82 citations), Infectious Diseases (276 citations), Small Animals (103 citations) and Pharmaceutical Science (54 citations). Wim van Vianen has collaborated with scholars based in Netherlands, Belgium and Sudan. Frequent co-authors include Irma A. J. M. Bakker‐Woudenberg, Els W. M. van Etten, Marian T. ten Kate, Timo L.M. ten Hagen, Wendy W. J. van de Sande, Marc Michel, Henri A. Verbrugh, Ron A. A. Mathôt, Mehri Tavakol and J. E. Degener. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection and Immunity, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Immunological Methods.

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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