William Y.S. Wang

3.6k total citations · 1 hit paper
57 papers, 2.3k citations indexed

About

William Y.S. Wang is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology. According to data from OpenAlex, William Y.S. Wang has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 13 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in William Y.S. Wang's work include Hormonal Regulation and Hypertension (10 papers), Genetic Associations and Epidemiology (9 papers) and Nutritional Studies and Diet (7 papers). William Y.S. Wang is often cited by papers focused on Hormonal Regulation and Hypertension (10 papers), Genetic Associations and Epidemiology (9 papers) and Nutritional Studies and Diet (7 papers). William Y.S. Wang collaborates with scholars based in Australia, United Kingdom and United States. William Y.S. Wang's co-authors include John A. Todd, David Clayton, Bryan J. Barratt, Brian J. Morris, Arnold C.T. Ng, Ruby C.Y. Lin, Adam Benjafield, Brian Morris, H. J. L. Speirs and Peter Mollee and has published in prestigious journals such as Circulation, PLoS ONE and Nature Reviews Genetics.

In The Last Decade

William Y.S. Wang

55 papers receiving 2.3k citations

Hit Papers

Genome-wide association studies: theoretical and practica... 2005 2026 2012 2019 2005 250 500 750
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.

  1. Genome-wide association studies: theoretical and practical concerns
    2005 797 citations William Y.S. Wang, John A. Todd et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Y.S. Wang Australia 23 806 778 696 497 233 57 2.3k
Georg Ehret Switzerland 25 530 0.7× 723 0.9× 595 0.9× 393 0.8× 201 0.9× 77 2.5k
Chiara Lanzani Italy 29 274 0.3× 818 1.1× 858 1.2× 875 1.8× 299 1.3× 91 3.0k
C. Charles Gu United States 28 1.1k 1.4× 935 1.2× 393 0.6× 329 0.7× 408 1.8× 121 2.7k
Leslie A. Lange United States 24 355 0.4× 538 0.7× 300 0.4× 228 0.5× 421 1.8× 65 2.0k
Jewell A. Jessup United States 18 246 0.3× 514 0.7× 1.4k 2.0× 867 1.7× 131 0.6× 25 2.7k
Chana Yagil Israel 23 224 0.3× 707 0.9× 1.1k 1.6× 790 1.6× 358 1.5× 67 2.7k
Ayo P. Doumatey United States 27 759 0.9× 646 0.8× 204 0.3× 357 0.7× 290 1.2× 64 2.0k
Věra Adámková Czechia 23 276 0.3× 375 0.5× 734 1.1× 350 0.7× 149 0.6× 125 2.0k
Amy S. Shah United States 31 430 0.5× 441 0.6× 906 1.3× 1.4k 2.8× 338 1.5× 131 3.0k
Hervé Duplain Switzerland 20 766 1.0× 469 0.6× 449 0.6× 156 0.3× 506 2.2× 41 2.3k

Countries citing papers authored by William Y.S. Wang

Since Specialization
Citations

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

Fields of papers citing papers by William Y.S. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Y.S. Wang. 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 William Y.S. Wang. The network helps show where William Y.S. Wang may publish in the future.

Co-authorship network of co-authors of William Y.S. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of William Y.S. Wang. A scholar is included among the top collaborators of William Y.S. Wang 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 William Y.S. Wang. William Y.S. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Chong, Adrian, Jonathan Sen, S. Wahi, et al.. (2024). Prognostication and Interventional Guidance Using Acceleration-Ejection Time Ratio in Undifferentiated Paradoxical Low-Flow Low-Gradient Aortic Stenosis. JACC. Cardiovascular imaging. 17(11). 1290–1301. 1 indexed citations
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Mamun, Abdullah Al, Darsy Darssan, William Y.S. Wang, et al.. (2023). Dietary patterns explaining variations in blood biomarkers in young adults are associated with the 30-year predicted cardiovascular disease risks in midlife: A follow-up study. Nutrition Metabolism and Cardiovascular Diseases. 33(5). 1007–1018. 2 indexed citations
6.
Lahmann, Petra H., et al.. (2021). Lifestyle correlates of dietary patterns among young adults: evidence from an Australian birth cohort. Public Health Nutrition. 25(8). 2167–2178. 14 indexed citations
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Najman, Jake M., William Y.S. Wang, Abdullah Al Mamun, et al.. (2020). Poverty over the early life course and young adult cardio-metabolic risk. International Journal of Public Health. 65(6). 759–768. 9 indexed citations
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Zhao, Lei, William Y.S. Wang, & Xinchun Yang. (2018). Anticoagulation in atrial fibrillation with heart failure. Heart Failure Reviews. 23(4). 563–571. 17 indexed citations
10.
Ng, Arnold C.T., et al.. (2016). Epicardial Adipose Tissue Volume and Left Ventricular Myocardial Function Using 3-Dimensional Speckle Tracking Echocardiography. Canadian Journal of Cardiology. 32(12). 1485–1492. 25 indexed citations
11.
Wang, William Y.S., Christopher P. Nelson, Carla Lluís-Ganella, et al.. (2015). Analysis of Gene-Gene Interactions among Common Variants in Candidate Cardiovascular Genes in Coronary Artery Disease. PLoS ONE. 10(2). e0117684–e0117684. 6 indexed citations
12.
Chow, Vincent, William Y.S. Wang, Michael K. Wilson, & John Yiannikas. (2011). Thrombus in transit within a patent foramen ovale: An argument for consideration of prophylactic closure?. Journal of Clinical Ultrasound. 40(2). 115–118. 7 indexed citations
13.
Speirs, H. J. L., William Y.S. Wang, Adam Benjafield, & Brian J. Morris. (2005). No association with hypertension of CLCNKB and TNFRSF1B polymorphisms at a hypertension locus on chromosome 1p36. Journal of Hypertension. 23(8). 1491–1496. 37 indexed citations
14.
Wang, William Y.S. & Nathan Pike. (2004). The allelic spectra of common diseases may resemble the allelic spectrum of the full genome. Medical Hypotheses. 63(4). 748–751. 6 indexed citations
15.
Speirs, H. J. L., et al.. (2004). Association of G-protein-coupled receptor kinase 4 haplotypes, but not HSD3B1 or PTP1B polymorphisms, with essential hypertension. Journal of Hypertension. 22(5). 931–936. 80 indexed citations
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Benjafield, Adam, Naoharu Iwai, Kazuhiko Ishikawa, William Y.S. Wang, & Brian J. Morris. (2003). Overweight, But Not Hypertension, Is Associated with SAH Polymorphisms in Caucasians with Essential Hypertension. Hypertension Research. 26(8). 591–595. 17 indexed citations
18.
Wang, William Y.S., Heather J. Cordell, & John A. Todd. (2002). Association mapping of complex diseases in linked regions: estimation of genetic effects and feasibility of testing rare variants. Genetic Epidemiology. 24(1). 36–43. 17 indexed citations
19.
Wang, William Y.S., et al.. (1999). Exclusion of angiotensinogen gene in molecular basis of human hypertension: Sibpair linkage and association analyses in Australian Anglo-Caucasians. American Journal of Medical Genetics. 87(1). 53–60. 35 indexed citations
20.
Wang, William Y.S., et al.. (1997). Association of angiotensin II type 1 receptor gene polymorphism with essential hypertension. Clinical Genetics. 51(1). 31–34. 145 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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