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Journal of Diabetes and Its Complications|February 6, 2020
A novel non-PPARgamma insulin sensitizer: MLR-1023 clinicalproof-of-concept in type 2 diabetes mellitusMoon-Kyu Lee, Sin Gon Kim, Elaine Watkins, et al.Reviews in Medical Virology|April 14, 2023
Clinical manifestations of human Mpox infection: A systematic review and meta-analysisHyunju Yon, Hyoin Shin, Jae Il Shin, et al.Heliyon|November 6, 2024
National trends in thyroid disease and COVID-19 pandemic-related factors, 1998-2021: A nationwide representative study in South KoreaKyeongmin Lee, Jaeyu Park, Myeongcheol Lee, et al.International Archives of Allergy and Immunology|January 7, 2024
National Trends in Allergic Rhinitis and Chronic Rhinosinusitis and COVID-19 Pandemic-Related Factors in South Korea, from 1998 to 2021Hojae Lee, Jaeyu Park, Myeongcheol Lee, et al.Plos One|March 28, 2013
Sarcopenia is independently associated with cardiovascular disease in older Korean adults: the Korea National Health and Nutrition Examination Survey (KNHANES) from 2009Sang Ouk Chin, Sang Youl Rhee, Suk Chon, et al.Diabetes & Metabolism Journal|November 8, 2013
Risk factors for the progression of intima-media thickness of carotid arteries: a 2-year follow-up study in patients with newly diagnosed type 2 diabetesSang Ouk Chin, Jin Kyung Hwang, Sang Youl Rhee, et al.Scientific Reports|January 31, 2024
National prevalence and trends in food labeling awareness, comprehension, usage, and COVID-19 pandemic-related factors in South Korea, 2014-2022Yujin Choi, Hyeon Jin Kim, Jaeyu Park, et al.Genetic Epidemiology|April 28, 2022
Gene-environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levelsJi Eun Lim, Ji-One Kang, Tae-Woong Ha, et al.Journal of Medical Virology|June 14, 2024
Risks of cutaneous immune-related adverse events in long COVID: Multinational cohort studies in South Korea, Japan, and the UKHyejun Kim, Seoyeon Kyung, Jaeyu Park, et al.Plos One|July 9, 2026
Machine learning for predicting emergency department visits in patients with type 2 diabetes: A real-world, multi-institutional studySunyoung Kim, Hyunji Sang, Jaeyu Park, et al.Pageof 23