Wil Ng
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Emergency Medical Services top 10%
- Disaster Response and Management
Papers in
-
- Antimicrobial Resistance in Staphylococcus 3
- Clostridium difficile and Clostridium perfringens research 2
-
- Advanced Chemical Physics Studies 2
- Co-authors
- Elizabeth Rea (1 shared paper)Richard H. Glazier (1 shared paper)Tamara Wallington (1 shared paper)Barbara Yaffe (1 shared paper)Bonnie Henry (1 shared paper)Tomislav Svoboda (1 shared paper)Effie Gournis (1 shared paper)Erin Kennedy (1 shared paper)
- Journals
- Physics Letters B (3 papers)Infection Control and Hospital Epidemiology (2 papers)American Journal of Infection Control (2 papers)Canadian Medical Association Journal (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Wil Ng
16 papers receiving 283 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 54
- Emergency Medical Services 39
- Infectious Diseases 100
- Applied Microbiology and Biotechnology 4
- Health 13
Countries citing papers authored by Wil Ng
This map shows the geographic impact of Wil Ng'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 Wil Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wil Ng more than expected).
Fields of papers citing papers by Wil Ng
This network shows the impact of papers produced by Wil Ng. 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 Wil Ng. The network helps show where Wil Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Wil Ng, 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 | 2004 | 200 | |
| 2 | 2020 | 25 | |
| 3 | 2013 | 19 | |
| 4 | 2015 | 16 | |
| 5 | 2016 | 12 | |
| 6 | 1974 | 8 | |
| 7 | 2017 | 6 | |
| 8 | 2009 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 1976 | 5 | |
| 11 | 1970 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 1970 | 3 | |
| 14 | 1975 | 3 | |
| 15 | 1974 | 3 | |
| 16 | 2019 | 1 |
About Wil Ng
Wil Ng is a scholar working on Infectious Diseases, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics and Epidemiology, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Nuclear physics research studies (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Scientific Research and Discoveries (3 papers), Advanced Chemical Physics Studies (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Vibrio bacteria research studies (1 paper), Gastrointestinal motility and disorders (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (54 citations), Emergency Medical Services (39 citations), Infectious Diseases (100 citations), Applied Microbiology and Biotechnology (4 citations) and Health (13 citations). Wil Ng has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Elizabeth Rea, Richard H. Glazier, Tamara Wallington, Barbara Yaffe, Bonnie Henry, Tomislav Svoboda, Effie Gournis, Erin Kennedy, Kevin Katz and L. E. H. Trainor. Their work appears in journals such as Physics Letters B, Infection Control and Hospital Epidemiology, American Journal of Infection Control, Canadian Medical Association Journal and New England Journal of Medicine.
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.