Wonil Chung

5.0k total citations
31 papers, 959 citations indexed

About

Wonil Chung is a scholar working on Genetics, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Wonil Chung has authored 31 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Wonil Chung's work include Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Wonil Chung is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Wonil Chung collaborates with scholars based in United States, South Korea and China. Wonil Chung's co-authors include Liming Liang, Zhaozhong Zhu, Quan Lu, Po‐Ru Loh, Phil H. Lee, David C. Christiani, Mark Chaffin, Yanjun Guo, Joshua Breslau and Ronald C. Kessler and has published in prestigious journals such as Circulation, Nature Communications and Nature Genetics.

In The Last Decade

Wonil Chung

27 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wonil Chung United States 13 304 292 287 159 134 31 959
Soohee Lee United States 23 215 0.7× 252 0.9× 784 2.7× 129 0.8× 140 1.0× 43 1.4k
Carmencita D. Padilla Philippines 22 596 2.0× 449 1.5× 165 0.6× 311 2.0× 70 0.5× 115 2.2k
Heather Lau United States 21 129 0.4× 265 0.9× 492 1.7× 77 0.5× 18 0.1× 62 1.1k
Gregorio Serra Italy 21 211 0.7× 232 0.8× 55 0.2× 153 1.0× 42 0.3× 53 931
Maureen McCarthy United States 15 67 0.2× 209 0.7× 406 1.4× 129 0.8× 28 0.2× 30 1.2k
D.A. Aitken United Kingdom 24 283 0.9× 323 1.1× 218 0.8× 113 0.7× 46 0.3× 65 1.7k
Lovisa E. Reinius Sweden 12 492 1.6× 1.4k 4.7× 265 0.9× 207 1.3× 278 2.1× 20 1.8k
Ee Ming Wong Australia 22 412 1.4× 1.1k 3.6× 124 0.4× 87 0.5× 24 0.2× 56 1.4k
Van Dinh Tran Australia 18 93 0.3× 151 0.5× 92 0.3× 110 0.7× 151 1.1× 54 918
Kayleen Williams United States 10 185 0.6× 85 0.3× 136 0.5× 81 0.5× 126 0.9× 16 618

Countries citing papers authored by Wonil Chung

Since Specialization
Citations

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

Fields of papers citing papers by Wonil Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonil Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Wonil Chung. A scholar is included among the top collaborators of Wonil Chung 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 Wonil Chung. Wonil Chung 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
1.
2.
Seo, Hyojeong & Wonil Chung. (2025). Statistical learning methods for improving predictive performance in time-dependent survival models. Genomics & Informatics. 23(1). 19–19.
3.
Park, Seunghwan, Gaeun Kim, Jun Li, et al.. (2024). Type 2 diabetes and its genetic susceptibility are associated with increased severity and mortality of COVID-19 in UK Biobank. Communications Biology. 7(1). 122–122. 4 indexed citations
4.
Guo, Yanjun, Wonil Chung, Zhilei Shan, et al.. (2023). Genome‐Wide Assessment of Shared Genetic Architecture Between Rheumatoid Arthritis and Cardiovascular Diseases. Journal of the American Heart Association. 12(22). e030211–e030211. 4 indexed citations
5.
6.
Chung, Wonil, et al.. (2022). Bayesian analysis of longitudinal traits in the Korea Association Resource (KARE) cohort. Genomics & Informatics. 20(2). e16–e16.
7.
Chung, Wonil, et al.. (2022). Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studies. Genomics & Informatics. 20(1). e8–e8. 1 indexed citations
8.
Merino, Jordi, Marta Guasch‐Ferré, Jun Li, et al.. (2022). Polygenic scores, diet quality, and type 2 diabetes risk: An observational study among 35,759 adults from 3 US cohorts. PLoS Medicine. 19(4). e1003972–e1003972. 26 indexed citations
9.
Salas, Lucas A., Lauren C. Peres, Zaneta M. Thayer, et al.. (2021). A Transdisciplinary Approach to Understand the Epigenetic Basis of Race/Ethnicity Health Disparities. Epigenomics. 13(21). 1761–1770. 24 indexed citations
10.
Kim, Jun, et al.. (2021). STREAM: A New Paradigm for STEM Education.. Journal of STEM education. 22(1). 46–51. 4 indexed citations
11.
Chung, Wonil. (2021). Statistical models and computational tools for predicting complex traits and diseases. Genomics & Informatics. 19(4). e36–e36. 11 indexed citations
12.
13.
Guo, Yanjun, Wonil Chung, Zhaozhong Zhu, et al.. (2019). Genome-Wide Assessment for Resting Heart Rate and Shared Genetics With Cardiometabolic Traits and Type 2 Diabetes. Journal of the American College of Cardiology. 74(17). 2162–2174. 23 indexed citations
14.
Chung, Wonil, Jun Chen, Constance Turman, et al.. (2019). Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes. Nature Communications. 10(1). 569–569. 46 indexed citations
15.
Cárdenas, Andrés, Joanne E. Sordillo, Sheryl L. Rifas‐Shiman, et al.. (2019). The nasal methylome as a biomarker of asthma and airway inflammation in children. Nature Communications. 10(1). 3095–3095. 121 indexed citations
16.
Zhu, Zhaozhong, Yanjun Guo, Huwenbo Shi, et al.. (2019). Shared genetic and experimental links between obesity-related traits and asthma subtypes in UK Biobank. Journal of Allergy and Clinical Immunology. 145(2). 537–549. 214 indexed citations
17.
Chung, Wonil & Fei Zou. (2014). Mixed-effects models for GAW18 longitudinal blood pressure data. BMC Proceedings. 8(S1). S87–S87. 8 indexed citations
18.
Miller, Elizabeth, Joshua Breslau, Wonil Chung, et al.. (2011). Adverse childhood experiences and risk of physical violence in adolescent dating relationships. Journal of Epidemiology & Community Health. 65(11). 1006–1013. 93 indexed citations
19.
Saynak, Mert, Nirmal K. Veeramachaneni, Jessica L. Hubbs, et al.. (2010). Local failure after complete resection of N0–1 non-small cell lung cancer. Lung Cancer. 71(2). 156–165. 47 indexed citations
20.
Tsong, Y.Y., et al.. (1988). Active Immunization Against Gonadotropin‐Releasing Hormone Combined With Androgen Supplementation Is a Promising Antifertility Vaccine for Males. American Journal Of Reproductive Immunology. 17(4). 121–127. 30 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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