Wim Ang

692 citations
11 papers · 218 · h-index 8

Impact in

  • Parasitology top 10%
    • Vector-borne infectious diseases
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Viral gastroenteritis research and epidemiology 2
    • Clostridium difficile and Clostridium perfringens research 2
    • Dermatological diseases and infestations 1
    • Mycobacterium research and diagnosis 1

Wim Ang

11 papers receiving 212 citations

Peers

Wim Ang
Comparison fields: 5 of 47
  • Parasitology 53
  • Infectious Diseases 99
  • Food Science 80
  • Endocrinology 15
  • Small Animals 18
Replace Lindsay Burns with:
Lindsay Burns United States
Takahiro Aoki Japan
Márton Papp Hungary
Sarah E. Woodward Canada
R M Powar India
Ellen L. Ziemer United States
Steffen Wohlgemuth Germany
Xiaoyu Wei China
Ênio Cardillo Vieira Brazil
Samantha M. Steelman United States
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Citations per field
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Citations per year

Countries citing papers authored by Wim Ang

Since Specialization
Citations

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

Fields of papers citing papers by Wim Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200897
2 201829
3 201129
4 201921
5 201714
6 201810
7 20187
8 20117
9
Molecular mimicry in the Guillain-Barre syndrome
20012
10 20181
11 20151

About Wim Ang

Wim Ang is a scholar working on Infectious Diseases, Epidemiology, Physiology, Parasitology and Food Science, having authored 11 papers that have together received 218 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Muscle metabolism and nutrition (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Dermatological diseases and infestations (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Parasitology (53 citations), Infectious Diseases (99 citations), Food Science (80 citations), Endocrinology (15 citations) and Small Animals (18 citations). Wim Ang has collaborated with scholars based in Netherlands, Russia and United States. Frequent co-authors include Hubert P. Endtz, Alewijn Ott, Mathijs P. Bergman, Michel Gilbert, Astrid P. Heikema, Rogier Louwen, Alex van Belkum, Edward E. S. Nieuwenhuis, Alex Wagemakers and Chin Leong Lim. Their work appears in journals such as Clinical Microbiology and Infection, Diagnostic Microbiology and Infectious Disease, Journal of Infection, International Journal of Sports Medicine and Infection and Immunity.

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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