S Yeung
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
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- Hormonal Regulation and Hypertension
- Adrenal Hormones and Disorders
Papers in
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- Renal Diseases and Glomerulopathies 2
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- Bone health and osteoporosis research 2
- Co-authors
- J. A. WhitworthTim D. HewitsonJ.L. TaftChristopher J. NolanGarry JenningsKrishnankutty SudhirMarinis PirpirisPeter R. Ebeling
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Clinical and Experimental Pharmacology and Physiology (1 paper)Diabetes (1 paper)Hypertension (1 paper)Pathology (1 paper)
- Partner nations
- AustraliaSouth Korea
In The Last Decade
S Yeung
8 papers receiving 353 citations
Peers
Comparison fields: 5 of 64
- Nephrology 99
- Endocrinology, Diabetes and Metabolism 136
- Clinical Biochemistry 40
- Orthopedics and Sports Medicine 47
- Behavioral Neuroscience 16
Countries citing papers authored by S Yeung
This map shows the geographic impact of S Yeung'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 S Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Yeung more than expected).
Fields of papers citing papers by S Yeung
This network shows the impact of papers produced by S Yeung. 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 S Yeung. The network helps show where S Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S Yeung, 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 | 2006 | 7 | |
| 2 | 2001 | 49 | |
| 3 | 1994 | 132 | |
| 4 | 1992 | 127 | |
| 5 | 1990 | 14 | |
| 6 | 1989 | 1 | |
| 7 | 1989 | 15 | |
| 8 | Salivary and serum antibody responses to Haemophilus influenzae infection in Papua New Guinea. | 1987 | 12 |
| 9 | Quantitation of isotype specific Haemophilus influenzae antibody in serum and saliva of normal subjects and chronic bronchitics. | 1986 | 8 |
About S Yeung
S Yeung is a scholar working on Nephrology, Orthopedics and Sports Medicine, Microbiology, Biochemistry and Obstetrics and Gynecology, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Respiratory viral infections research (2 papers), Vitamin D Research Studies (2 papers), Bone health and osteoporosis research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Hormonal Regulation and Hypertension (2 papers), Pregnancy and preeclampsia studies (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Nephrology (99 citations), Endocrinology, Diabetes and Metabolism (136 citations), Clinical Biochemistry (40 citations), Orthopedics and Sports Medicine (47 citations) and Behavioral Neuroscience (16 citations). S Yeung has collaborated with scholars based in Australia and South Korea. Frequent co-authors include J. A. Whitworth, Tim D. Hewitson, J.L. Taft, Christopher J. Nolan, Garry Jennings, Krishnankutty Sudhir, Marinis Pirpiris, Peter R. Ebeling, Geoffrey C. Nicholson and John D. Wark. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical and Experimental Pharmacology and Physiology, Diabetes, Hypertension and Pathology.
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.