Jong‐Young Lee
Impact in
- Genetics top 0.1%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
-
- Acute Myocardial Infarction Research
Papers in
- Co-authors
- Seung‐Whan Lee (85 shared papers)Young‐Hak Kim (82 shared papers)Cheol Whan Lee (78 shared papers)Seong‐Wook Park (71 shared papers)Duk‐Woo Park (74 shared papers)Soo‐Jin Kang (63 shared papers)Jung‐Min Ahn (58 shared papers)Won‐Jang Kim (47 shared papers)
- Journals
- The American Journal of Cardiology (25 papers)JACC: Cardiovascular Interventions (16 papers)Journal of the American College of Cardiology (13 papers)Nature Genetics (11 papers)Circulation Cardiovascular Interventions (10 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jong‐Young Lee
349 papers receiving 27.0k citations
Jong‐Young Lee's Hit Papers
Peers
Comparison fields: 5 of 201
- Genetics 9.1k
- Cardiology and Cardiovascular Medicine 4.1k
- Surgery 7.2k
- Endocrinology, Diabetes and Metabolism 2.3k
- Radiology, Nuclear Medicine and Imaging 2.3k
Countries citing papers authored by Jong‐Young Lee
This map shows the geographic impact of Jong‐Young Lee'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 Jong‐Young Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Young Lee more than expected).
Fields of papers citing papers by Jong‐Young Lee
This network shows the impact of papers produced by Jong‐Young Lee. 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 Jong‐Young Lee. The network helps show where Jong‐Young Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong‐Young Lee, 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 368 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic studies of body mass index yield new insights for obesity biology Hit paper breakdown → | 2015 | 3477 |
| 2 | Biological, clinical and population relevance of 95 loci for blood lipids Hit paper breakdown → | 2010 | 2946 |
| 3 | Large-scale association analysis identifies new risk loci for coronary artery disease Hit paper breakdown → | 2012 | 1341 |
| 4 | A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits Hit paper breakdown → | 2009 | 871 |
| 5 | Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility Hit paper breakdown → | 2014 | 868 |
| 6 | The genetic architecture of type 2 diabetes Hit paper breakdown → | 2016 | 839 |
| 7 | The power of genetic diversity in genome-wide association studies of lipids Hit paper breakdown → | 2021 | 583 |
| 8 | Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians Hit paper breakdown → | 2011 | 524 |
| 9 | Mapping Human Genetic Diversity in Asia Hit paper breakdown → | 2009 | 517 |
| 10 | Randomized Trial of Stents versus Bypass Surgery for Left Main Coronary Artery Disease Hit paper breakdown → | 2011 | 494 |
| 11 | Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians Hit paper breakdown → | 2011 | 482 |
| 12 | A saturated map of common genetic variants associated with human height Hit paper breakdown → | 2022 | 456 |
| 13 | Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function Hit paper breakdown → | 2016 | 426 |
| 14 | Loss-of-function mutations in SLC30A8 protect against type 2 diabetes Hit paper breakdown → | 2014 | 402 |
| 15 | 2013 | 395 | |
| 16 | Trial of Everolimus-Eluting Stents or Bypass Surgery for Coronary Disease Hit paper breakdown → | 2015 | 366 |
| 17 | 2012 | 338 | |
| 18 | The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals Hit paper breakdown → | 2016 | 324 |
| 19 | 2015 | 290 | |
| 20 | 2011 | 288 |
About Jong‐Young Lee
Jong‐Young Lee is a scholar working on Surgery, Genetics, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 368 papers that have together received 27.9k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (88 papers), Genetic Associations and Epidemiology (57 papers), Cardiac Imaging and Diagnostics (28 papers), Liver Disease Diagnosis and Treatment (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetic and phenotypic traits in livestock (12 papers), Antiplatelet Therapy and Cardiovascular Diseases (12 papers) and Nutrition, Genetics, and Disease (11 papers). The work is most often cited by research in Genetics (9.1k citations), Cardiology and Cardiovascular Medicine (4.1k citations), Surgery (7.2k citations), Endocrinology, Diabetes and Metabolism (2.3k citations) and Radiology, Nuclear Medicine and Imaging (2.3k citations). Jong‐Young Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung‐Whan Lee, Young‐Hak Kim, Cheol Whan Lee, Seong‐Wook Park, Duk‐Woo Park, Soo‐Jin Kang, Jung‐Min Ahn, Won‐Jang Kim, Seung‐Jung Park and Sung‐Cheol Yun. Their work appears in journals such as The American Journal of Cardiology, JACC: Cardiovascular Interventions, Journal of the American College of Cardiology, Nature Genetics and Circulation Cardiovascular Interventions.
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.