Hak Chul Jang

26.5k total citations · 2 hit papers
356 papers, 12.9k citations indexed

About

Hak Chul Jang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Hak Chul Jang has authored 356 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Endocrinology, Diabetes and Metabolism, 81 papers in Surgery and 81 papers in Physiology. Recurrent topics in Hak Chul Jang's work include Diabetes Treatment and Management (48 papers), Nutrition and Health in Aging (45 papers) and Gestational Diabetes Research and Management (44 papers). Hak Chul Jang is often cited by papers focused on Diabetes Treatment and Management (48 papers), Nutrition and Health in Aging (45 papers) and Gestational Diabetes Research and Management (44 papers). Hak Chul Jang collaborates with scholars based in South Korea, United States and Ethiopia. Hak Chul Jang's co-authors include Soo Lim, Kyong Soo Park, Sung Hee Choi, Young Joo Park, Kyoung Min Kim, Ki Woong Kim, Soo Heon Kwak, Ji Won Yoon, Seon Mee Kang and Tae Jung Oh and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Hak Chul Jang

349 papers receiving 12.6k citations

Hit Papers

Increasing Prevalence of Metabolic Syndrome in Korea 2011 2026 2016 2021 2011 2022 100 200 300 400 500

Peers

Hak Chul Jang
Sung Hee Choi South Korea
Soo Lim South Korea
Ronald C.W. Hong Kong
Ruth Peters United Kingdom
Hak Chul Jang
Citations per year, relative to Hak Chul Jang Hak Chul Jang (= 1×) peers Kåre I. Birkeland

Countries citing papers authored by Hak Chul Jang

Since Specialization
Citations

This map shows the geographic impact of Hak Chul Jang'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 Hak Chul Jang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hak Chul Jang more than expected).

Fields of papers citing papers by Hak Chul Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hak Chul Jang. 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 Hak Chul Jang. The network helps show where Hak Chul Jang may publish in the future.

Co-authorship network of co-authors of Hak Chul Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Hak Chul Jang. A scholar is included among the top collaborators of Hak Chul Jang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hak Chul Jang. Hak Chul Jang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahn, Soyeon, Jung Hun Ohn, Eun Sun Kim, et al.. (2025). Effect of SMS Ward Round Notifications on Inpatient Experience in Acute Medical Settings: Retrospective Cohort Study. JMIR Human Factors. 12. e57470–e57470. 1 indexed citations
2.
Kim, Hyeon Ji, Jee Yoon Park, Kyung Joon Oh, et al.. (2024). Quality of Life in Women With Gestational Diabetes Mellitus and Treatment Satisfaction Upon Intermittently Scanned Continuous Glucose Monitoring. Journal of Korean Medical Science. 40(15). e46–e46. 1 indexed citations
3.
Moon, Joon Ho, et al.. (2024). Improvement of heart rate variability after metabolic bariatric surgery in Korean subjects with obesity. Journal of Diabetes Investigation. 15(12). 1773–1780.
4.
Kuang, Alan, Alicia Huerta‐Chagoya, Denise Scholtens, et al.. (2024). Genome-Wide Polygenic Risk Score Predicts Incident Type 2 Diabetes in Women With History of Gestational Diabetes. Diabetes Care. 47(9). 1622–1629. 5 indexed citations
5.
Beom, Jaewon, Sang Yoon Lee, Hak Chul Jang, et al.. (2024). Comparison of bioelectrical impedance analysis and dual-energy X-ray absorptiometry for the diagnosis of sarcopenia in the older adults with metabolic syndrome: equipment-specific equation development. Aging Clinical and Experimental Research. 37(1). 12–12. 3 indexed citations
6.
Kim, Eun Sun, Jung Hun Ohn, Yejee Lim, et al.. (2023). Effect of Active Surgical Co-Management by Medical Hospitalists in Urology Inpatient Care: A Retrospective Cohort Study. Yonsei Medical Journal. 64(9). 558–558.
7.
Lee, Dong‐Hwa, Jung‐Ah Lim, Jung Hee Kim, et al.. (2021). Longitudinal Changes of High Molecular Weight Adiponectin are Associated with Postpartum Development of Type 2 Diabetes Mellitus in Patients with Gestational Diabetes Mellitus. Endocrinology and Metabolism. 36(1). 114–122. 7 indexed citations
9.
Oh, Tae Jung, Belong Cho, Yong Soon Park, et al.. (2020). Sex differences in sarcopenia and frailty among community‐dwelling Korean older adults with diabetes: The Korean Frailty and Aging Cohort Study. Journal of Diabetes Investigation. 12(2). 155–164. 22 indexed citations
10.
Moon, Joon Ho, Hyeongseok Kim, Hyunki Kim, et al.. (2020). Lactation improves pancreatic β cell mass and function through serotonin production. Science Translational Medicine. 12(541). 52 indexed citations
11.
Chae, Sehyun, Su‐jin Kim, Young Do Koo, et al.. (2018). A mitochondrial proteome profile indicative of type 2 diabetes mellitus in skeletal muscles. Experimental & Molecular Medicine. 50(9). 1–14. 31 indexed citations
12.
Oh, Tae Jung, Joon Ho Moon, Soo Heon Kwak, et al.. (2018). Oral Glucose Tolerance Testing Allows Better Prediction of Diabetes in Women with a History of Gestational Diabetes Mellitus. Diabetes & Metabolism Journal. 43(3). 342–342. 12 indexed citations
13.
Kim, Kyoung Min, Hak Chul Jang, & Soo Lim. (2016). Differences among skeletal muscle mass indices derived from height-, weight-, and body mass index-adjusted models in assessing sarcopenia. The Korean Journal of Internal Medicine. 31(4). 643–650. 272 indexed citations
14.
Hwang, You‐Cheol, Chul Woo Ahn, Jong Suk Park, et al.. (2013). Efficacy and safety of glimepiride/metformin sustained release once daily vs. glimepiride/metformin twice daily in patients with type 2 diabetes. International Journal of Clinical Practice. 67(3). 236–243. 10 indexed citations
15.
Lim, Soo, Ji Won Yoon, Sung Hee Choi, et al.. (2009). Combined Impact of Adiponectin and Retinol‐binding Protein 4 on Metabolic Syndrome in Elderly People: The Korean Longitudinal Study on Health and Aging. Obesity. 18(4). 826–832. 44 indexed citations
16.
Cho, Bong Jun, Jun Tae Kim, You Jin Lee, et al.. (2008). Alteration of Antioxidant Enzyme Gene Expression with Aging and Exercise in Fisher Rats. Journal of the Korean Geriatrics Society. 12(3). 146–152. 2 indexed citations
17.
Yu, Sung Hoon, Hye Jin Kim, Jung Jae Lee, et al.. (2008). Effects of Eating Behaviors on Health-related Parameters in the Elderly Living in Seongnam City(Korean Longitudinal Study on Health and Aging study). Journal of the Korean Geriatrics Society. 12(3). 138–145. 2 indexed citations
18.
Jang, Hak Chul. (2002). Diagnostic Criteria for Gestational Diabetes in Korean Women: Is New ADA Criteria Appropriate?.. Korean Diabetes Journal. 26(4). 221–228. 1 indexed citations
19.
Yim, Chang Hoon, Han Jin Oh, Ho Yeon Chung, et al.. (2002). Prevalence of Thyroid Nodules detected by Ultrasonography in Womens Attending Health Check-Ups. Journal of Korean Endocrine Society. 17(2). 183–188. 9 indexed citations
20.
Jang, Hak Chul, et al.. (1997). The Perinatal Complications in Infants of Mothers with Gestational Diabetes Mellitus. 40(6). 809–917. 1 indexed citations

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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