Wim Ang
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
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- Viral Infections and Vectors 3
- Viral gastroenteritis research and epidemiology 3
- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Alex van Belkum (1 shared paper)Michel Gilbert (1 shared paper)Hubert P. Endtz (1 shared paper)Mathijs P. Bergman (1 shared paper)Edward E. S. Nieuwenhuis (1 shared paper)Rogier Louwen (1 shared paper)Astrid P. Heikema (1 shared paper)Alewijn Ott (1 shared paper)
- Journals
- Clinical Microbiology and Infection (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Infection and Immunity (1 paper)Journal of Infection (1 paper)Revista Brasileira de Farmacognosia (1 paper)
- Partner nations
- NetherlandsRussiaSweden
In The Last Decade
Wim Ang
12 papers receiving 212 citations
Peers
Comparison fields: 5 of 51
- Parasitology 54
- Infectious Diseases 112
- Food Science 80
- Small Animals 22
- Endocrinology 15
Countries citing papers authored by Wim Ang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 97 | |
| 2 | 2018 | 29 | |
| 3 | 2011 | 29 | |
| 4 | 2019 | 21 | |
| 5 | 2017 | 14 | |
| 6 | 2018 | 9 | |
| 7 | 2011 | 7 | |
| 8 | 2018 | 7 | |
| 9 | Molecular mimicry in the Guillain-Barre syndrome | 2001 | 2 |
| 10 | 2018 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2015 | 1 |
About Wim Ang
Wim Ang is a scholar working on Infectious Diseases, Epidemiology, Physiology, Parasitology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 218 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (3 papers), Viral Infections and Vectors (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Salmonella and Campylobacter epidemiology (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Escherichia coli research studies (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Parasitology (54 citations), Infectious Diseases (112 citations), Food Science (80 citations), Small Animals (22 citations) and Endocrinology (15 citations). Wim Ang has collaborated with scholars based in Netherlands, Russia and Sweden. Frequent co-authors include Alex van Belkum, Michel Gilbert, Hubert P. Endtz, Mathijs P. Bergman, Edward E. S. Nieuwenhuis, Rogier Louwen, Astrid P. Heikema, Alewijn Ott, Abdul Rashid Aziz and Dieuwertje Hoornstra. Their work appears in journals such as Clinical Microbiology and Infection, Diagnostic Microbiology and Infectious Disease, Infection and Immunity, Journal of Infection and Revista Brasileira de Farmacognosia.
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.