William Y.S. Wang

3.6k citations
57 papers · 2.3k indexed · 1 hit paper · h-index 23
Topics
Hormonal Regulation and Hypertension (10 papers)Genetic Associations and Epidemiology (9 papers)Nutritional Studies and Diet (7 papers)

In The Last Decade

William Y.S. Wang

55 papers receiving 2.3k citations

Hit Papers

Genome-wide association studies: theoretical and practica...20052026201220192005250500750

Peers

William Y.S. Wang
Comparison fields: 5 of 129
  • Genetics 806
  • Molecular Biology 778
  • Cardiology and Cardiovascular Medicine 696
  • Endocrinology, Diabetes and Metabolism 497
  • Physiology 233
Replace Norihiro Kato with:
Norihiro Kato Japan
Ingrid B. Borecki United States
Georg Ehret Switzerland
Chiara Lanzani Italy
Chana Yagil Israel
Jewell A. Jessup United States
Lloyd Axelrod United States
Nobuhiro Shojima Japan
Leslie A. Lange United States
Ayo P. Doumatey United States
William Y.S. Wang relative to Norihiro Kato Japan Norihiro Kato's profile →
Citations per field
00.5×1.5×
Norihiro Kato · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 3
4 1
5 2
6 14
7 9
8 3
9 17
10 25
11 6
12 7
13 37
14 6
15 80
16 16
17 17
18 17
19 35
20 145

About William Y.S. Wang

William Y.S. Wang is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Genetic Associations and Epidemiology (9 papers) and Nutritional Studies and Diet (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (696 citations), Endocrinology, Diabetes and Metabolism (497 citations) and Genetics (806 citations). William Y.S. Wang has collaborated with scholars based in Australia, United Kingdom and United States. Frequent 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. Their work appears in journals such as Circulation, PLoS ONE and Nature Reviews Genetics.

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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