William W. Wong
- Physiology top 0.5%
- Public Health, Environmental and Occupational Health top 0.2%
- Nutrition and Dietetics top 0.2%
- Pediatrics, Perinatology and Child Health top 0.2%
- Epidemiology top 2%
- Co-authors
- Kenneth J. EllisNancy F. ButtePeter KleinJudy M. HopkinsonE. O’Brian SmithSteven A. AbramsDavid L. HacheyRoman J. Shypailo
- Topics
- Body Composition Measurement Techniques (53 papers)Obesity, Physical Activity, Diet (45 papers)Diet and metabolism studies (36 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
William W. Wong
215 papers receiving 9.3k citations
Peers
Comparison fields: 5 of 181
- Physiology 3.4k
- Public Health, Environmental and Occupational Health 2.9k
- Nutrition and Dietetics 2.2k
- Pediatrics, Perinatology and Child Health 2.1k
- Epidemiology 1.1k
Countries citing papers authored by William W. Wong
This map shows the geographic impact of William W. Wong'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 William W. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Wong more than expected).
Fields of papers citing papers by William W. Wong
This network shows the impact of papers produced by William W. Wong. 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 William W. Wong. The network helps show where William W. Wong may publish in the future.
Co-authorship network of co-authors of William W. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of William W. Wong. A scholar is included among the top collaborators of William W. Wong 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 William W. Wong. William W. Wong 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 | 37 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 87 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 48 | |
| 9 | 25 | |
| 10 | 210 | |
| 11 | 12 | |
| 12 | 37 | |
| 13 | 24 | |
| 14 | 136 | |
| 15 | 15 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 140 | |
| 19 | 70 | |
| 20 | 5 |
About William W. Wong
William W. Wong is a scholar working on Physiology, Nutrition and Dietetics and Public Health, Environmental and Occupational Health, having authored 221 papers that have together received 9.7k indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (53 papers), Obesity, Physical Activity, Diet (45 papers) and Diet and metabolism studies (36 papers). The work is most often cited by research in Nutrition and Dietetics (2.2k citations), Physiology (3.4k citations) and Pediatrics, Perinatology and Child Health (2.1k citations). William W. Wong has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Kenneth J. Ellis, Nancy F. Butte, Peter Klein, Judy M. Hopkinson, E. O’Brian Smith, Steven A. Abrams, E. O’Brian Smith, David L. Hachey, Roman J. Shypailo and Cutberto Garza. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Clinical Investigation.
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.