Nathan D Wong
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Surgery
- Public Health, Environmental and Occupational Health
- Co-authors
- H S KlopfensteinJulius M. GardinVivienne-Elizabeth SmithHoda Anton‐CulverBernard TabatznikWilliam J. BommerDavid S. SiscovickTeri A. Manolio
- Topics
- Lipoproteins and Cardiovascular Health (5 papers)Cardiac Imaging and Diagnostics (4 papers)Cardiovascular Health and Risk Factors (4 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaHypertension
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Nathan D Wong
16 papers receiving 430 citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 319
- Radiology, Nuclear Medicine and Imaging 76
- Endocrinology, Diabetes and Metabolism 51
- Surgery 50
- Public Health, Environmental and Occupational Health 47
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 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression. | 68 |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 198 | |
| 20 | Ultrafast computed tomography: imaging of coronary calcium in atherosclerosis. | 3 |
About Nathan D Wong
Nathan D Wong is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Transplantation, having authored 21 papers that have together received 438 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Health and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (319 citations), Nephrology (26 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Nathan D Wong has collaborated with scholars based in United States, Australia and India. Frequent co-authors include H S Klopfenstein, Julius M. Gardin, Vivienne-Elizabeth Smith, Hoda Anton‐Culver, Bernard Tabatznik, William J. Bommer, David S. Siscovick, Teri A. Manolio, Alice M. Arnold and Linda P. Fried. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Hypertension.
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.