Hong‐Hee Won
Impact in
- Genetics top 0.2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 59
- Genetic Associations and Epidemiology 53
- Genomics and Rare Diseases 10
- Genomic variations and chromosomal abnormalities 8
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- Bioinformatics and Genomic Networks 17
- Gene expression and cancer classification 7
- Co-authors
- Sung‐Bae Cho (5 shared papers)Jong‐Won Kim (24 shared papers)Woojae Myung (28 shared papers)Min Seo Kim (11 shared papers)Amit V. Khera (7 shared papers)Ron Do (13 shared papers)Doh Kwan Kim (14 shared papers)Jong Yeob Kim (5 shared papers)
- Journals
- Nature Communications (8 papers)Alzheimer s & Dementia (7 papers)PLoS ONE (7 papers)Journal of the American College of Cardiology (5 papers)Scientific Reports (5 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hong‐Hee Won
168 papers receiving 18.2k citations
Hong‐Hee Won's Hit Papers
Peers
Comparison fields: 5 of 179
- Genetics 6.7k
- Cancer Research 1.4k
- Molecular Biology 5.9k
- Cardiology and Cardiovascular Medicine 1.6k
- Biological Psychiatry 160
Countries citing papers authored by Hong‐Hee Won
This map shows the geographic impact of Hong‐Hee Won'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 Hong‐Hee Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong‐Hee Won more than expected).
Fields of papers citing papers by Hong‐Hee Won
This network shows the impact of papers produced by Hong‐Hee Won. 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 Hong‐Hee Won. The network helps show where Hong‐Hee Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong‐Hee Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of protein-coding genetic variation in 60,706 humans Hit paper breakdown → | 2016 | 7751 |
| 2 | A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease Hit paper breakdown → | 2015 | 1873 |
| 3 | Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology Hit paper breakdown → | 2021 | 938 |
| 4 | Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores Hit paper breakdown → | 2015 | 923 |
| 5 | Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia Hit paper breakdown → | 2016 | 716 |
| 6 | A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease Hit paper breakdown → | 2015 | 538 |
| 7 | Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction Hit paper breakdown → | 2014 | 521 |
| 8 | Improving polygenic prediction in ancestrally diverse populations Hit paper breakdown → | 2022 | 366 |
| 9 | Association between adiposity and cardiovascular outcomes: an umbrella review and meta-analysis of observational and Mendelian randomization studies Hit paper breakdown → | 2021 | 263 |
| 10 | 2017 | 262 | |
| 11 | 2017 | 203 | |
| 12 | 2016 | 201 | |
| 13 | Machine learning in DNA microarray analysis for cancer classification | 2003 | 195 |
| 14 | 2021 | 165 | |
| 15 | 2017 | 158 | |
| 16 | 2013 | 157 | |
| 17 | 2019 | 152 | |
| 18 | 2021 | 135 | |
| 19 | 2007 | 109 | |
| 20 | 2019 | 108 |
About Hong‐Hee Won
Hong‐Hee Won is a scholar working on Genetics, Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine and Nephrology, having authored 178 papers that have together received 18.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (53 papers), Bioinformatics and Genomic Networks (17 papers), Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (8 papers), Alzheimer's disease research and treatments (8 papers), Gene expression and cancer classification (7 papers), Lipoproteins and Cardiovascular Health (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Genetics (6.7k citations), Cancer Research (1.4k citations), Molecular Biology (5.9k citations), Cardiology and Cardiovascular Medicine (1.6k citations) and Biological Psychiatry (160 citations). Hong‐Hee Won has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sung‐Bae Cho, Jong‐Won Kim, Woojae Myung, Min Seo Kim, Amit V. Khera, Ron Do, Doh Kwan Kim, Jong Yeob Kim, Jae Il Shin and Won Jun Kim. Their work appears in journals such as Nature Communications, Alzheimer s & Dementia, PLoS ONE, Journal of the American College of Cardiology and Scientific Reports.
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.