Ming Wai Yeung

4.6k total citations · 1 hit paper
73 papers, 2.5k citations indexed

About

Ming Wai Yeung is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Ming Wai Yeung has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 19 papers in Cardiology and Cardiovascular Medicine and 17 papers in Epidemiology. Recurrent topics in Ming Wai Yeung's work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diabetes Management and Research (8 papers) and Diabetes and associated disorders (8 papers). Ming Wai Yeung is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diabetes Management and Research (8 papers) and Diabetes and associated disorders (8 papers). Ming Wai Yeung collaborates with scholars based in Hong Kong, China and Netherlands. Ming Wai Yeung's 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, Sally She‐Ting Shu, Anthony W.H. Chan, Grace Lai–Hung Wong and Raymond Kwok and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Ming Wai Yeung

72 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Screening diabetic patients for non-alcoholic fatty liver disease with controlled attenuation parameter and liver stiffness measurements: a prospective cohort study

2015 369 citations Andrea O. Y. Luk, Ming Wai Yeung et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ming Wai Yeung Hong Kong	28	1.3k	820	402	393	329	73	2.5k
Sandro Gentile Italy	26	1.2k 0.9×	487 0.6×	305 0.8×	426 1.1×	322 1.0×	102	2.2k
Emanuela Orsi Italy	33	1.7k 1.3×	604 0.7×	452 1.1×	471 1.2×	358 1.1×	94	3.1k
Hilla Knobler Israel	25	815 0.6×	948 1.2×	443 1.1×	367 0.9×	405 1.2×	61	2.7k
Marco Dauriz Italy	21	744 0.6×	567 0.7×	478 1.2×	221 0.6×	256 0.8×	46	1.6k
Chan‐Hee Jung South Korea	31	989 0.8×	562 0.7×	348 0.9×	428 1.1×	414 1.3×	104	2.4k
Scott Isaacs United States	11	2.0k 1.6×	942 1.1×	250 0.6×	374 1.0×	367 1.1×	18	2.7k
Deep Dutta India	27	1.1k 0.9×	476 0.6×	143 0.4×	440 1.1×	388 1.2×	247	2.6k
Eric S. H. Lau Hong Kong	26	1.2k 0.9×	424 0.5×	282 0.7×	323 0.8×	389 1.2×	109	2.2k
Kwang Joon Kim South Korea	28	652 0.5×	560 0.7×	348 0.9×	317 0.8×	237 0.7×	99	2.1k
Elena Succurro Italy	29	1.5k 1.2×	711 0.9×	785 2.0×	371 0.9×	743 2.3×	133	2.9k

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 of co-authors of Ming Wai Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wai Yeung. A scholar is included among the top collaborators of Ming Wai Yeung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Wai Yeung. Ming Wai Yeung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Urbut, Sarah, Ming Wai Yeung, Shaan Khurshid, et al.. (2024). MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease. Nature Communications. 15(1). 4884–4884. 5 indexed citations

Patel, Aman M., et al.. (2023). Disparities in lung cancer short- and long-term outcomes after surgery: Analysis from the national cancer database. Cancer Treatment and Research Communications. 37. 100777–100777.

Lau, Eric S. H., Aimin Yang, Hongjiang Wu, et al.. (2023). Temporal associations of diabetes‐related complications with health‐related quality of life decrements in Chinese patients with type 2 diabetes: A prospective study among 19 322 adults—Joint Asia Diabetes Evaluation (JADE) register (2007–2018). Journal of Diabetes. 16(6). e13503–e13503. 6 indexed citations

Vegte, Yordi J. van de, M. Abdullah Said, Hilde E. Groot, et al.. (2023). Fetuin-A and its genetic association with cardiometabolic disease. Scientific Reports. 13(1). 21469–21469. 6 indexed citations

Leur, Rutger R van de, Karim Taha, Arjan Sammani, et al.. (2022). Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders. European Heart Journal - Digital Health. 3(3). 390–404. 34 indexed citations

Yeung, Ming Wai, Pim van der Harst, & Niek Verweij. (2022). ukbpheno v1.0: An R package for phenotyping health-related outcomes in the UK Biobank. STAR Protocols. 3(3). 101471–101471. 7 indexed citations

Said, M. Abdullah, Ming Wai Yeung, Yordi J. van de Vegte, et al.. (2021). Genome-Wide Association Study and Identification of a Protective Missense Variant on Lipoprotein(a) Concentration. Arteriosclerosis Thrombosis and Vascular Biology. 41(5). 1792–1800. 27 indexed citations

Juárez‐Orozco, Luis Eduardo, Ming Wai Yeung, Remco J.J. Knol, et al.. (2020). Predicting cardiovascular risk traits from pet myocardial perfusion imaging with deep learning. European Heart Journal. 41(Supplement_2). 1 indexed citations

Lau, Ip Tim, et al.. (2017). Insulin glargine 300 U/mL for basal insulin therapy in type 1 and type 2 diabetes mellitus. Diabetes Metabolic Syndrome and Obesity. Volume 10. 273–284. 21 indexed citations

10.

Chan, Juliana C.N., Wing‐Yee So, Chun‐Yip Yeung, et al.. (2009). Effects of Structured Versus Usual Care on Renal Endpoint in Type 2 Diabetes: The SURE Study. Diabetes Care. 32(6). 977–982. 89 indexed citations

11.

Tang, Ying, et al.. (2008). Health literacy, complication awareness, and diabetic control in patients with type 2 diabetes mellitus. Journal of Advanced Nursing. 62(1). 74–83. 154 indexed citations

12.

Thomas, G. Neil, Brian Tomlinson, Abu S. Abdullah, et al.. (2005). Association of Erectile Dysfunction With Cardiovascular Risk Factors and Increasing Existing Vascular Disease in Male Chinese Type 2 Diabetic Patients. Diabetes Care. 28(8). 2051–2053. 15 indexed citations

13.

Tong, Peter C.Y., Chung Shun Ho, Ming Wai Yeung, et al.. (2005). Association of Testosterone, Insulin-Like Growth Factor-I, and C-Reactive Protein with Metabolic Syndrome in Chinese Middle-Aged Men with a Family History of Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 90(12). 6418–6423. 42 indexed citations

14.

So, Wing Yee, Peter C.Y. Tong, Gary T.C. Ko, et al.. (2003). Effects of protocol-driven care versus usual outpatient clinic care on survival rates in patients with type 2 diabetes.. PubMed. 9(9). 606–15. 32 indexed citations

15.

Ko, G. T. C., Juliana C.N. Chan, C. C. Chow, et al.. (2003). Triglyceride, albuminuria and blood pressure are the major associations of non-fatal cardiovascular disease in Chinese type 2 diabetes. Acta Diabetologica. 40(2). 80–84. 5 indexed citations

16.

Ko, Gary T.C., Juliana C.N. Chan, Ming Wai Yeung, et al.. (2001). A low socio-economic status is an additional risk factor for glucose intolerance in high risk Hong Kong Chinese. European Journal of Epidemiology. 17(3). 289–295. 56 indexed citations

17.

Chan, Juliana C.N., Ming Wai Yeung, C. C. Chow, et al.. (1996). Pancreatic β cell function and antibodies to glutamic acid decarboxylase (anti-GAD) in Chinese patients with clinical diagnosis of insulin-dependent diabetes mellitus. Diabetes Research and Clinical Practice. 32(1-2). 27–34. 32 indexed citations

18.

Ko, Gary T.C., Chun‐Chung Chow, John E. Sanderson, Ming Wai Yeung, & Clive S. Cockram. (1995). Should ß‐blocking agents be used in thyrotoxic heart disease?. The Medical Journal of Australia. 162(8). 426–427. 2 indexed citations

19.

Ko, Gary T.C., et al.. (1995). Insulin‐Dependent Diabetes Mellitus Presenting as Diabetic Ketoacidosis in Pregnancy. Australian and New Zealand Journal of Obstetrics and Gynaecology. 35(3). 321–322. 5 indexed citations

20.

Cheung, C K, Ming Wai Yeung, Clive S. Cockram, & R. Swaminathan. (1990). Urinary excretion of albumin and enzymes in non-insulin-dependent Chinese diabetics.. PubMed. 34(3). 125–30. 12 indexed citations

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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