Wonil Chung

5.0k citations
30 papers · 879 · h-index 13

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
  • Physiology top 10%
    • Asthma and respiratory diseases
    • Adipose Tissue and Metabolism

Papers in

    • Genetic Associations and Epidemiology 9
    • Genetic Mapping and Diversity in Plants and Animals 7
    • Genetic and phenotypic traits in livestock 6
    • Diabetes and associated disorders 1
    • Bioinformatics and Genomic Networks 2
    • Gene expression and cancer classification 1

Wonil Chung

26 papers receiving 865 citations

Peers

Wonil Chung
Comparison fields: 5 of 99
  • Genetics 262
  • Physiology 225
  • Immunology 101
  • Ophthalmology 39
  • Immunology and Allergy 24
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Lovisa E. Reinius Sweden
Adrienne H. Williams United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Wonil Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wonil Chung Line = papers co-authored together Wonil Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019220
2 2018147
3 2019123
4 200951
5 201047
6 201946
7 201942
8 199941
9 198830
10 202226
11 202124
12 201923
13 202112
14 202111
15 20148
16 20236
17 20244
18
STREAM: A New Paradigm for STEM Education.
20214
19 20234
20 20153

About Wonil Chung

Wonil Chung is a scholar working on Genetics, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 879 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetic and phenotypic traits in livestock (6 papers), Retinal Diseases and Treatments (2 papers), Bioinformatics and Genomic Networks (2 papers), Asthma and respiratory diseases (2 papers), Gene expression and cancer classification (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Genetics (262 citations), Physiology (225 citations), Immunology (101 citations), Ophthalmology (39 citations) and Immunology and Allergy (24 citations). Wonil Chung has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Liming Liang, Zhaozhong Zhu, Quan Lu, Po‐Ru Loh, Phil H. Lee, David C. Christiani, Mark Chaffin, Yanjun Guo, Frank B. Hu and Miriam F. Moffatt. Their work appears in journals such as Nature Communications, Circulation, Human Genomics, Journal of the American Heart Association and Psychological Medicine.

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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