K. Thai
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
-
- 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 4
- Hormonal Regulation and Hypertension 2
- Co-authors
- J. W. Scholey (5 shared papers)Daniel Cattran (1 shared paper)York Pei (1 shared paper)Masataka Suzuki (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)Diabetes (1 paper)Circulation Research (1 paper)Cardiovascular Research (1 paper)Nephrology Dialysis Transplantation (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
K. Thai
16 papers receiving 363 citations
Peers
Comparison fields: 5 of 62
- Nephrology 122
- Cardiology and Cardiovascular Medicine 207
- Endocrinology, Diabetes and Metabolism 133
- Genetics 31
- Clinical Biochemistry 16
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 | 108 | |
| 2 | 2007 | 68 | |
| 3 | 1994 | 47 | |
| 4 | 2008 | 30 | |
| 5 | 2000 | 30 | |
| 6 | 1996 | 19 | |
| 7 | 2000 | 19 | |
| 8 | 2009 | 14 | |
| 9 | 2011 | 12 | |
| 10 | 2011 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2011 | 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 Surgery, having authored 16 papers that have together received 371 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Diabetes Treatment and Management (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Pancreatic function and diabetes (2 papers), Apelin-related biomedical research (2 papers), Biomedical Research and Pathophysiology (2 papers), Hormonal Regulation and Hypertension (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Nephrology (122 citations), Cardiology and Cardiovascular Medicine (207 citations), Endocrinology, Diabetes and Metabolism (133 citations), Genetics (31 citations) and Clinical Biochemistry (16 citations). K. Thai has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include J. W. Scholey, Daniel Cattran, York Pei, Masataka Suzuki, Hao Ly, Stuart J. Shankland, Darren J. Kelly, Kim A. Connelly, Jonathan Miller and Adrienne D. Cox. Their work appears in journals such as Canadian Journal of Cardiology, Diabetes, Circulation Research, Cardiovascular Research and Nephrology Dialysis Transplantation.
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.