Nathan D. Wong
- Cardiology and Cardiovascular Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Nutrition and Dietetics top 2%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Co-authors
- Stanley S. FranklinWilliam B. KannelMartin G. LarsonDaniel LevyWilliam GustinMichael A. WeberEric LeipShehzad Akbar Khan
- Topics
- Blood Pressure and Hypertension Studies (4 papers)Heart Rate Variability and Autonomic Control (3 papers)Cardiovascular Health and Disease Prevention (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineNutrition and DieteticsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Nathan D. Wong
7 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cardiology and Cardiovascular Medicine 2.6k
- Endocrinology, Diabetes and Metabolism 527
- Nutrition and Dietetics 508
- Public Health, Environmental and Occupational Health 381
- Surgery 359
Countries citing papers authored by Nathan D. Wong
This map shows the geographic impact of Nathan D. 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 Nathan D. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan D. Wong more than expected).
Fields of papers citing papers by Nathan D. Wong
This network shows the impact of papers produced by Nathan D. 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 Nathan D. Wong. The network helps show where Nathan D. Wong may publish in the future.
Co-authorship network of co-authors of Nathan D. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan D. Wong. A scholar is included among the top collaborators of Nathan D. 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 Nathan D. Wong. Nathan D. 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 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 44 | |
| 6 | 2 | |
| 7 | Does the Relation of Blood Pressure to Coronary Heart Disease Risk Change With Aging?breakdown → | 981 |
| 8 | Predominance of Isolated Systolic Hypertension Among Middle-Aged and Elderly US Hypertensivesbreakdown → | 511 |
| 9 | Hemodynamic Patterns of Age-Related Changes in Blood Pressurebreakdown → | 1674 |
| 10 | 64 |
About Nathan D. Wong
Nathan D. Wong is a scholar working on Family Practice, Nephrology and Geriatrics and Gerontology, having authored 10 papers that have together received 3.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.6k citations), Nutrition and Dietetics (508 citations) and Endocrinology, Diabetes and Metabolism (527 citations). Nathan D. Wong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stanley S. Franklin, William B. Kannel, Martin G. Larson, Daniel Levy, William Gustin, Michael A. Weber, Eric Leip, Shehzad Akbar Khan, Gilbert L’Italien and Pablo Lapuerta. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Diabetes Care.
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.