Ouppatham Supasyndh
- Nephrology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Surgery
- Co-authors
- Bancha SatirapojPornanong AramwitJack ZhangAmnart ChaiprasertJoel D. KoppleKazuomi KarioNingling SunCharles J. McAllister
- Topics
- Dialysis and Renal Disease Management (30 papers)Chronic Kidney Disease and Diabetes (17 papers)Blood Pressure and Hypertension Studies (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ThailandUnited StatesJapan
In The Last Decade
Ouppatham Supasyndh
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Nephrology 556
- Cardiology and Cardiovascular Medicine 374
- Endocrinology, Diabetes and Metabolism 336
- Physiology 237
- Surgery 199
Countries citing papers authored by Ouppatham Supasyndh
This map shows the geographic impact of Ouppatham Supasyndh'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 Ouppatham Supasyndh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ouppatham Supasyndh more than expected).
Fields of papers citing papers by Ouppatham Supasyndh
This network shows the impact of papers produced by Ouppatham Supasyndh. 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 Ouppatham Supasyndh. The network helps show where Ouppatham Supasyndh may publish in the future.
Co-authorship network of co-authors of Ouppatham Supasyndh
This figure shows the co-authorship network connecting the top 25 collaborators of Ouppatham Supasyndh. A scholar is included among the top collaborators of Ouppatham Supasyndh 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 Ouppatham Supasyndh. Ouppatham Supasyndh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 41 | |
| 12 | Metabolic syndrome and its relation to chronic kidney disease in a Southeast Asian population. | 12 |
| 13 | 14 | |
| 14 | 35 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 51 | |
| 18 | 30 | |
| 19 | Prevalence of the metabolic syndrome, and its association factors between percentage body fat and body mass index in rural Thai population aged 35 years and older. | 9 |
| 20 | 107 |
About Ouppatham Supasyndh
Ouppatham Supasyndh is a scholar working on Nephrology, Complementary and Manual Therapy and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (30 papers), Chronic Kidney Disease and Diabetes (17 papers) and Blood Pressure and Hypertension Studies (8 papers). The work is most often cited by research in Nephrology (556 citations), Endocrinology, Diabetes and Metabolism (336 citations) and Cardiology and Cardiovascular Medicine (374 citations). Ouppatham Supasyndh has collaborated with scholars based in Thailand, United States and Japan. Frequent co-authors include Bancha Satirapoj, Pornanong Aramwit, Jack Zhang, Amnart Chaiprasert, Joel D. Kopple, Kazuomi Kario, Ningling Sun, Charles J. McAllister, Kamyar Kalantar‐Zadeh and Martin Lefkowitz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.