K. Thai
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
-
- Renin-Angiotensin System Studies
- Cardiovascular Function and Risk Factors
Papers in
-
- Renin-Angiotensin System Studies 4
- Cardiovascular Function and Risk Factors 2
-
- Diabetes Treatment and Management 3
- Hormonal Regulation and Hypertension 2
- Co-authors
- J. W. Scholey (5 shared papers)York Pei (1 shared paper)Masataka Suzuki (1 shared paper)Daniel Cattran (1 shared paper)Hao Ly (3 shared papers)Stuart J. Shankland (2 shared papers)Darren J. Kelly (4 shared papers)Kim A. Connelly (6 shared papers)
- Journals
- Canadian Journal of Cardiology (3 papers)Journal of the American Society of Nephrology (1 paper)Cardiovascular Research (1 paper)Journal of Clinical Investigation (1 paper)Diabetologia (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
K. Thai
16 papers receiving 371 citations
Peers
Comparison fields: 5 of 57
- Nephrology 108
- Cardiology and Cardiovascular Medicine 165
- Endocrinology, Diabetes and Metabolism 90
- Genetics 23
- Clinical Biochemistry 13
Countries citing papers authored by K. Thai
This map shows the geographic impact of K. Thai'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 K. Thai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Thai more than expected).
Fields of papers citing papers by K. Thai
This network shows the impact of papers produced by K. Thai. 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 K. Thai. The network helps show where K. Thai may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Thai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 109 | |
| 2 | 2007 | 69 | |
| 3 | 1994 | 50 | |
| 4 | 2008 | 31 | |
| 5 | 2000 | 30 | |
| 6 | 1996 | 20 | |
| 7 | 2000 | 19 | |
| 8 | 2009 | 15 | |
| 9 | 2011 | 12 | |
| 10 | 2011 | 6 | |
| 11 | 2012 | 6 | |
| 12 | 2011 | 4 | |
| 13 | 2013 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2008 | 1 |
About K. Thai
K. Thai is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Nephrology, Physiology and Pharmacology, having authored 16 papers that have together received 381 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Diabetes Treatment and Management (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Cardiovascular Function and Risk Factors (2 papers), Hormonal Regulation and Hypertension (2 papers), Apelin-related biomedical research (2 papers) and Connective tissue disorders research (1 paper). The work is most often cited by research in Nephrology (108 citations), Cardiology and Cardiovascular Medicine (165 citations), Endocrinology, Diabetes and Metabolism (90 citations), Genetics (23 citations) and Clinical Biochemistry (13 citations). K. Thai has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include J. W. Scholey, York Pei, Masataka Suzuki, Daniel Cattran, Hao Ly, Stuart J. Shankland, Darren J. Kelly, Kim A. Connelly, Jonathan Miller and James N. Tsoporis. Their work appears in journals such as Canadian Journal of Cardiology, Journal of the American Society of Nephrology, Cardiovascular Research, Journal of Clinical Investigation and Diabetologia.
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.