Ming Wai Yeung

4.6k citations
73 papers · 2.5k indexed · 1 hit paper · h-index 28

Ming Wai Yeung

72 papers receiving 2.4k citations

Hit Papers

Screening diabetic patients for non-alcoholic fatty liver...3692015202620182022100200300

Peers

Ming Wai Yeung
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Nephrology 223
  • Hepatology 248
  • Epidemiology 820
  • Cardiology and Cardiovascular Medicine 402
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Sandro Gentile Italy
Emanuela Orsi Italy
Deep Dutta India
Kwang Joon Kim South Korea
Elena Succurro Italy
Hiroshi Noto Japan
Hilla Knobler Israel
Chih‐Cheng Hsu Taiwan
Chan‐Hee Jung South Korea
Claudia R.L. Cardoso Brazil
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Countries citing papers authored by Ming Wai Yeung

Since Specialization
Citations

This map shows the geographic impact of Ming Wai 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 Ming Wai Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wai Yeung more than expected).

Fields of papers citing papers by Ming Wai Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Wai 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 Ming Wai Yeung. The network helps show where Ming Wai Yeung may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ming Wai 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 Ming Wai Yeung Line = papers co-authored together Ming Wai Yeung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20236
3 20230
4 20236
5 202234
6 202127
7 201721
8 201026
9 2008154
10 200813
11 200592
12 200416
13
Effects of protocol-driven care versus usual outpatient clinic care on survival rates in patients with type 2 diabetes.
200332
14 20035
15 200156
16 200027
17 199716
18 199632
19 19955
20
Urinary excretion of albumin and enzymes in non-insulin-dependent Chinese diabetics.
199012

About Ming Wai Yeung

Ming Wai Yeung is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine, Genetics and Epidemiology, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diabetes Management and Research (8 papers), Diabetes and associated disorders (8 papers), Diabetes Treatment and Management (8 papers), Pancreatic function and diabetes (7 papers), Diabetes Management and Education (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Blood Pressure and Hypertension Studies (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Nephrology (223 citations), Hepatology (248 citations), Epidemiology (820 citations) and Cardiology and Cardiovascular Medicine (402 citations). Ming Wai Yeung has collaborated with scholars based in Hong Kong, China and Netherlands. Frequent co-authors include Juliana C.N. Chan, Clive S. Cockram, Chun‐Chung Chow, Gary T.C. Ko, Andrea O. Y. Luk, Alice P.S. Kong, Kai Chow Choi, Sally She‐Ting Shu, Raymond Kwok and Vincent Wai‐Sun Wong. Their work appears in journals such as Diabetes Care, Diabetes Research and Clinical Practice, Cerebrovascular Diseases, Scientific Reports and International Journal of Cardiology.

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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