Sukit Yamwong
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Nephrology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Piyamitr SritaraMark WoodwardSayan CheepudomwitWichai AekplakornWipa RatanachaiwongRajata RajatanavinPrin VathesatogkitPongamorn Bunnag
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Blood Pressure and Hypertension Studies (6 papers)Antiplatelet Therapy and Cardiovascular Diseases (5 papers)
- Partner nations
- ThailandAustraliaUnited States
In The Last Decade
Sukit Yamwong
40 papers receiving 936 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 351
- Cardiology and Cardiovascular Medicine 270
- Epidemiology 224
- Nephrology 174
- Public Health, Environmental and Occupational Health 140
Countries citing papers authored by Sukit Yamwong
This map shows the geographic impact of Sukit Yamwong'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 Sukit Yamwong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukit Yamwong more than expected).
Fields of papers citing papers by Sukit Yamwong
This network shows the impact of papers produced by Sukit Yamwong. 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 Sukit Yamwong. The network helps show where Sukit Yamwong may publish in the future.
Co-authorship network of co-authors of Sukit Yamwong
This figure shows the co-authorship network connecting the top 25 collaborators of Sukit Yamwong. A scholar is included among the top collaborators of Sukit Yamwong 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 Sukit Yamwong. Sukit Yamwong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 24 | |
| 5 | 6 | |
| 6 | 36 | |
| 7 | 17 | |
| 8 | 71 | |
| 9 | 21 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | 49 | |
| 15 | 24 | |
| 16 | 41 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 38 | |
| 20 | 1 |
About Sukit Yamwong
Sukit Yamwong is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Nephrology, having authored 40 papers that have together received 967 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Blood Pressure and Hypertension Studies (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). The work is most often cited by research in Nephrology (174 citations), Endocrinology, Diabetes and Metabolism (351 citations) and Cardiology and Cardiovascular Medicine (270 citations). Sukit Yamwong has collaborated with scholars based in Thailand, Australia and United States. Frequent co-authors include Piyamitr Sritara, Mark Woodward, Sayan Cheepudomwit, Wichai Aekplakorn, Wipa Ratanachaiwong, Rajata Rajatanavin, Prin Vathesatogkit, Pongamorn Bunnag, Tada Yipintsoi and Chagriya Kitiyakara. Their work appears in journals such as Journal of the American College of Cardiology, Diabetes Care and Scientific Reports.
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.