S Yeung

458 citations
9 papers · 365 · h-index 8

Impact in

Papers in

S Yeung

8 papers receiving 353 citations

Peers

S Yeung
Comparison fields: 5 of 58
  • Nephrology 85
  • Endocrinology, Diabetes and Metabolism 112
  • Clinical Biochemistry 34
  • Orthopedics and Sports Medicine 33
  • Behavioral Neuroscience 13
Replace R. R. McSwiney with:
R. R. McSwiney United Kingdom
Federica Ermetici Italy
Anna Bohdanowicz-Pawlak Poland
JS Christiansen Denmark
Barbara Idzior−Waluś Poland
Dorota Szumilak France
Marcia J. Gallaher United States
Derek D. Sandeman United Kingdom
J.L. Funck‐Brentano France
Yaopeng Li United States
S Yeung relative to R. R. McSwiney United Kingdom R. R. McSwiney's profile →
Citations per field
00.5×
R. R. McSwiney · 1×
Citations per year

Countries citing papers authored by S Yeung

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with S Yeung Line = papers co-authored together S Yeung links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1994132
2 1992127
3 200149
4 198915
5 199014
6
Salivary and serum antibody responses to Haemophilus influenzae infection in Papua New Guinea.
198712
7
Quantitation of isotype specific Haemophilus influenzae antibody in serum and saliva of normal subjects and chronic bronchitics.
19868
8 20067
9 19891

About S Yeung

S Yeung is a scholar working on Nephrology, Pulmonary and Respiratory Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (2 papers), Respiratory viral infections research (2 papers), Bone health and osteoporosis research (2 papers), Hormonal Regulation and Hypertension (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Nephrology (85 citations), Endocrinology, Diabetes and Metabolism (112 citations), Clinical Biochemistry (34 citations), Orthopedics and Sports Medicine (33 citations) and Behavioral Neuroscience (13 citations). S Yeung has collaborated with scholars based in Australia and South Korea. Frequent co-authors include J. A. Whitworth, Tim D. Hewitson, Christopher J. Nolan, Krishnankutty Sudhir, Marinis Pirpiris, Garry Jennings, Peter R. Ebeling, John D. Wark, Geoffrey C. Nicholson and Mark A. Kotowicz. Their work appears in journals such as Hypertension, Diabetes, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology and Clinical and Experimental Pharmacology and Physiology.

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.

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