Rhee, Sang Youl

The power of genetic diversity in genome-wide association studies of lipids

Graham, S. E., Clarke, S. L., Wu, K.-H. H., Kanoni, S., Zajac, G. J. M., Ramdas, S., Surakka, I., Ntalla, I., Vedantam, S., Winkler, T. W., et al. (2021) · Nature

Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health

Cited by 972

A saturated map of common genetic variants associated with human height

Yengo, L., Vedantam, S., Marouli, E., Sidorenko, J., Bartell, E., Sakaue, S., Graff, M., Eliasen, A. U., Jiang, Y., Raghavan, S., et al. (2022) · Nature

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 825

The Role of Advanced Glycation End Products in Diabetic Vascular Complications

Rhee, S. Y., & Kim, Y. S. (2018) · Diabetes & Metabolism Journal

Advanced Glycation End Products researchChronic Kidney Disease and Diabetes

Cited by 274

Sarcopenia is independently associated with cardiovascular disease in older Korean adults: the Korea National health and nutrition examination survey (KNHANES) from (2009)

Chin, S. O., Rhee, S. Y., Chon, S., Hwang, Y.-C., Jeong, I.-K., Oh, S., Ahn, K. J., Chung, H. Y., Woo, J.-T., Kim, S.-W., et al. (2013) · PLoS ONE

Nutrition and Health in AgingFrailty in Older Adults

Cited by 252

Association Between Glycemic Status and the Risk of Parkinson Disease: A Nationwide Population-Based Study

Rhee, S. Y., Han, K.-D., Kwon, H., Park, S.-E., Park, Y.-G., Kim, Y.-H., Yoo, S.-J., Rhee, E.-J., & Lee, W.-Y. (2020) · Diabetes Care

Parkinson's Disease Mechanisms and TreatmentsDementia and Cognitive Impairment Research

Cited by 109

A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction

Kim, Y. J., Rhee, S. Y., Byun, J. K., Park, S. Y., Hong, S. M., Chin, S. O., Chon, S., Oh, S., Woo, J.-T., Kim, S. W., et al. (2015) · Diabetes & Metabolism Journal

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 63

Present and Future of Digital Health in Diabetes and Metabolic Disease

Rhee, S. Y., Kim, C., Shin, D. W., & Steinhubl, S. R. (2020) · Diabetes & Metabolism Journal

Mobile Health and mHealth ApplicationsDiabetes Management and Research

Cited by 47

Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts

Sang, H., Lee, H., Lee, M., Park, J., Kim, S., Woo, H. G., Rahmati, M., Koyanagi, A., Smith, L., Lee, S., et al. (2024) · Scientific Reports

Artificial Intelligence in HealthcareDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 36