Roy Wong‐McClure
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Infectious Diseases
- General Health Professions
- Public Health, Environmental and Occupational Health
- Co-authors
- Edward W. GreggAlberto BarcelóCésar RodríguezElizabeth BryceMarvin Cervantes–LoaizaElizabeth T. LumanJulia ButtSarah S. Jackson
- Topics
- Clostridium difficile and Clostridium perfringens research (3 papers)Nosocomial Infections in ICU (3 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers)
- Cited by
- Critical Care and Intensive Care MedicineEndocrinology, Diabetes and MetabolismInfectious Diseases
- Partner nations
- Costa RicaUnited StatesCanada
In The Last Decade
Roy Wong‐McClure
7 papers receiving 68 citations
Peers
Comparison fields: 5 of 35
- Epidemiology 24
- Endocrinology, Diabetes and Metabolism 24
- Infectious Diseases 20
- General Health Professions 16
- Public Health, Environmental and Occupational Health 16
Countries citing papers authored by Roy Wong‐McClure
This map shows the geographic impact of Roy Wong‐McClure'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 Roy Wong‐McClure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Wong‐McClure more than expected).
Fields of papers citing papers by Roy Wong‐McClure
This network shows the impact of papers produced by Roy Wong‐McClure. 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 Roy Wong‐McClure. The network helps show where Roy Wong‐McClure may publish in the future.
Co-authorship network of co-authors of Roy Wong‐McClure
This figure shows the co-authorship network connecting the top 25 collaborators of Roy Wong‐McClure. A scholar is included among the top collaborators of Roy Wong‐McClure based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Roy Wong‐McClure. Roy Wong‐McClure is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Prevalence of metabolic syndrome in Central America: a cross-sectional population-based study. | 39 |
| 4 | Total adult cardiovascular risk in Central America. | 2 |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 1 |
About Roy Wong‐McClure
Roy Wong‐McClure is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Modeling and Simulation, having authored 9 papers that have together received 73 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (3 papers), Nosocomial Infections in ICU (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (9 citations), Endocrinology, Diabetes and Metabolism (24 citations) and Infectious Diseases (20 citations). Roy Wong‐McClure has collaborated with scholars based in Costa Rica, United States and Canada. Frequent co-authors include Edward W. Gregg, Alberto Barceló, César Rodríguez, Elizabeth Bryce, Marvin Cervantes–Loaiza, Elizabeth T. Luman, Julia Butt, Sarah S. Jackson, Tim Waterboer and Arturo Abdelnour. Their work appears in journals such as PLoS ONE, Child s Nervous System and Journal of Diabetes.
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.