Quenna Wong

12.0k total citations
12 papers, 456 citations indexed

About

Quenna Wong is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Quenna Wong has authored 12 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Molecular Biology. Recurrent topics in Quenna Wong's work include Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Quenna Wong is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). Quenna Wong collaborates with scholars based in United States, Italy and Paraguay. Quenna Wong's co-authors include Joseph F. Polak, N. David Yanez, Anita Harrington, Daniel H. O’Leary, Kathleen F. Kerr, Caitlin McHugh, Stephen S. Rich, Craig Johnson, Cathy C. Laurie and Gregory L. Burke and has published in prestigious journals such as Nucleic Acids Research, Blood and Journal of the American College of Cardiology.

In The Last Decade

Quenna Wong

10 papers receiving 445 citations

Peers

Quenna Wong
Michèle M. Sale United States
Matthias Munz Germany
Suchismita Panda India
Reiko Furugen Japan
Ruichen Gao China
A Pachı̀ Italy
Maren Pflueger Germany
Marie L. Feser United States
Millán Perez‐Ayala Spain
Valentina Del Monaco Italy
Michèle M. Sale United States
Quenna Wong
Citations per year, relative to Quenna Wong Quenna Wong (= 1×) peers Michèle M. Sale

Countries citing papers authored by Quenna Wong

Since Specialization
Citations

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

Fields of papers citing papers by Quenna Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quenna Wong. 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 Quenna Wong. The network helps show where Quenna Wong may publish in the future.

Co-authorship network of co-authors of Quenna Wong

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

All Works

12 of 12 papers shown
1.
Smith, Johanna L., Quenna Wong, Whitney Hornsby, et al.. (2025). Data sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking. The American Journal of Human Genetics. 112(8). 1754–1768.
2.
Khan, Alyna, Stephanie M. Gogarten, Caitlin McHugh, et al.. (2022). Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research: Experiences from the NHLBI TOPMed program. Cell Genomics. 2(8). 100155–100155. 49 indexed citations
3.
Niu, Xiaomei, Songping Wang, Xu Zhang, et al.. (2020). Genome Wide Association Analysis of Iron Overload in the Trans-Omics for Precision Medicine (TOPMed) Sickle Cell Disease Cohorts. Blood. 136(Supplement 1). 52–52.
4.
Afshar, Mehdi, Kevin Luk, Ron Do, et al.. (2017). Association of Triglyceride-Related Genetic Variants With Mitral Annular Calcification. Journal of the American College of Cardiology. 69(24). 2941–2948. 25 indexed citations
5.
Taylor, Kimberly E., Quenna Wong, David Levine, et al.. (2017). Genome‐Wide Association Analysis Reveals Genetic Heterogeneity of Sjögren's Syndrome According to Ancestry. Arthritis & Rheumatology. 69(6). 1294–1305. 83 indexed citations
6.
Sanders, Anne E., Tamar Sofer, Quenna Wong, et al.. (2016). Chronic Periodontitis Genome-wide Association Study in the Hispanic Community Health Study / Study of Latinos. Journal of Dental Research. 96(1). 64–72. 46 indexed citations
7.
Mitchell, Braxton D., Myriam Fornage, Patrick F. McArdle, et al.. (2014). Using previously genotyped controls in genome-wide association studies (GWAS): application to the Stroke Genetics Network (SiGN). Frontiers in Genetics. 5. 95–95. 20 indexed citations
8.
Manichaikul, Ani, Walter Palmas, Carlos J. Rodríguez, et al.. (2012). Population Structure of Hispanics in the United States: The Multi-Ethnic Study of Atherosclerosis. PLoS Genetics. 8(4). e1002640–e1002640. 60 indexed citations
9.
Polak, Joseph F., Craig Johnson, Anita Harrington, et al.. (2012). Changes in Carotid Intima‐Media Thickness During the Cardiac Cycle: The Multi‐Ethnic Study of Atherosclerosis. Journal of the American Heart Association. 1(4). e001420–e001420. 41 indexed citations
10.
11.
Manichaikul, Ani, Wei‐Min Chen, Kayleen Williams, et al.. (2011). Analysis of family- and population-based samples in cohort genome-wide association studies. Human Genetics. 131(2). 275–287. 9 indexed citations
12.
Wong, Quenna. (2005). Efficient and seamless DNA recombineering using a thymidylate synthase A selection system in Escherichia coli. Nucleic Acids Research. 33(6). e59–e59. 87 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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2026