Tae Yang Yu

1.1k total citations
27 papers, 279 citations indexed

About

Tae Yang Yu is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Tae Yang Yu has authored 27 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Tae Yang Yu's work include Bone health and osteoporosis research (4 papers), MicroRNA in disease regulation (3 papers) and Nutritional Studies and Diet (3 papers). Tae Yang Yu is often cited by papers focused on Bone health and osteoporosis research (4 papers), MicroRNA in disease regulation (3 papers) and Nutritional Studies and Diet (3 papers). Tae Yang Yu collaborates with scholars based in South Korea, United States and Australia. Tae Yang Yu's co-authors include Ji Cheol Bae, Jae Hwan Jee, Jae Hyeon Kim, Sang‐Man Jin, Moon‐Kyu Lee, Woori Na, Woojae Myung, Hong‐Hee Won, Soyeon Kim and Yeong Chan Lee and has published in prestigious journals such as International Journal of Molecular Sciences, Medicine and Atherosclerosis.

In The Last Decade

Tae Yang Yu

23 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tae Yang Yu South Korea 10 88 64 60 49 48 27 279
Young Jun Won South Korea 12 46 0.5× 32 0.5× 38 0.6× 75 1.5× 99 2.1× 25 400
Mehmet Gürbîlek Türkiye 11 43 0.5× 29 0.5× 67 1.1× 40 0.8× 13 0.3× 34 299
Min Cui China 10 25 0.3× 95 1.5× 17 0.3× 33 0.7× 78 1.6× 24 308
Henrik Vase Denmark 14 118 1.3× 27 0.4× 52 0.9× 129 2.6× 66 1.4× 31 499
Alan Sacerdote United States 10 25 0.3× 31 0.5× 68 1.1× 74 1.5× 190 4.0× 24 423
Hassan Rezvanian Iran 12 40 0.5× 63 1.0× 27 0.5× 53 1.1× 228 4.8× 28 422
Dennis M.J. Muris Netherlands 9 35 0.4× 79 1.2× 27 0.5× 40 0.8× 77 1.6× 16 452
Monika H. E. Christensen Norway 11 51 0.6× 22 0.3× 135 2.3× 92 1.9× 146 3.0× 13 477
Chih‐Chien Sung Taiwan 8 21 0.2× 57 0.9× 184 3.1× 64 1.3× 52 1.1× 24 395
F. Saleh Norway 7 192 2.2× 19 0.3× 246 4.1× 35 0.7× 35 0.7× 8 442

Countries citing papers authored by Tae Yang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tae Yang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Yang Yu. 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 Tae Yang Yu. The network helps show where Tae Yang Yu may publish in the future.

Co-authorship network of co-authors of Tae Yang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Yang Yu. A scholar is included among the top collaborators of Tae Yang Yu 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 Tae Yang Yu. Tae Yang Yu 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.
Singh, Rajan, Se Eun Ha, Tae Yang Yu, & Seungil Ro. (2025). Dual Roles of miR-10a-5p and miR-10b-5p as Tumor Suppressors and Oncogenes in Diverse Cancers. International Journal of Molecular Sciences. 26(1). 415–415. 9 indexed citations
2.
Yu, Tae Yang, et al.. (2025). Student Learning Outcomes and Program Evaluation in Medical Humanities Education in Korea: A Systematic Review. Korean Medical Education Review. 27(Suppl1). S18–S30.
3.
4.
Kim, Gyuri, Tae Yang Yu, Jae Hwan Jee, et al.. (2024). Association between nonalcoholic fatty liver disease and left ventricular diastolic dysfunction: A 7-year retrospective cohort study of 3,380 adults using serial echocardiography. Diabetes & Metabolism. 50(3). 101534–101534. 2 indexed citations
5.
Ha, Se Eun, Rajan Singh, Byungchang Jin, et al.. (2024). miR-10a/b-5p-NCOR2 Regulates Insulin-Resistant Diabetes in Female Mice. International Journal of Molecular Sciences. 25(18). 10147–10147. 5 indexed citations
6.
Singh, Rajan, Se Eun Ha, Han Sung Park, et al.. (2024). Sustained Effectiveness and Safety of Therapeutic miR-10a/b in Alleviating Diabetes and Gastrointestinal Dysmotility without Inducing Cancer or Inflammation in Murine Liver and Colon. International Journal of Molecular Sciences. 25(4). 2266–2266. 3 indexed citations
7.
Yu, Tae Yang, et al.. (2024). Fasting GLP-1 Levels and Albuminuria Are Negatively Associated in Patients with Type 2 Diabetes Mellitus. Journal of Personalized Medicine. 14(3). 280–280.
8.
Lee, Yeong Chan, Jae Myeong Kang, Hyewon Lee, et al.. (2020). Subjective cognitive decline and subsequent dementia: a nationwide cohort study of 579,710 people aged 66 years in South Korea. Alzheimer s Research & Therapy. 12(1). 52–52. 34 indexed citations
9.
Na, Woori, Tae Yang Yu, & Cheongmin Sohn. (2019). Development of a food-based index of dietary inflammatory potential for Koreans and its relationship with metabolic syndrome. Nutrition Research and Practice. 13(2). 150–150. 12 indexed citations
10.
Yu, Tae Yang, Sang‐Man Jin, Jae Hwan Jee, et al.. (2019). The Protective Effects of Increasing Serum Uric Acid Level on Development of Metabolic Syndrome. Diabetes & Metabolism Journal. 43(4). 504–504. 14 indexed citations
12.
Yu, Tae Yang, et al.. (2018). Scrub typhus initially manifested as diabetic ketoacidosis: A case report. IDCases. 12. 165–166. 1 indexed citations
13.
Baek, Jong Ha, Sang‐Man Jin, Ji Cheol Bae, et al.. (2017). Serum Calcium and the Risk of Incident Metabolic Syndrome: A 4.3-Year Retrospective Longitudinal Study. Diabetes & Metabolism Journal. 41(1). 60–60. 10 indexed citations
14.
Yu, Tae Yang, et al.. (2017). Utilization of Osteoporosis-Related Health Services: Use of Data from the Korean National Health Insurance Database 2008–2012. Journal of Korean Medical Science. 33(3). e20–e20. 15 indexed citations
15.
Lee, Da Young, Jieun Jang, Tae Yang Yu, et al.. (2017). Serum 25-hydroxyvitamin D cutoffs for functional bone measures in postmenopausal osteoporosis. Osteoporosis International. 28(4). 1377–1384. 11 indexed citations
16.
Bae, Ji Cheol, Ji Min Han, Sam Hyun Kwon, et al.. (2016). LDL-C/apoB and HDL-C/apoA-1 ratios predict incident chronic kidney disease in a large apparently healthy cohort. Atherosclerosis. 251. 170–176. 30 indexed citations
17.
Yu, Tae Yang, Jae Hwan Jee, Ji Cheol Bae, et al.. (2016). Delayed heart rate recovery after exercise as a risk factor of incident type 2 diabetes mellitus after adjusting for glycometabolic parameters in men. International Journal of Cardiology. 221. 17–22. 12 indexed citations
18.
Yu, Tae Yang, Jae Hwan Jee, Ji Cheol Bae, et al.. (2015). Serum uric acid: A strong and independent predictor of metabolic syndrome after adjusting for body composition. Metabolism. 65(4). 432–440. 72 indexed citations
19.
Kim, Yongcheol, et al.. (2009). A Case of Adult-Onset Adrenoleukodystrophy Combined with Moyamoya Disease. Journal of Korean Endocrine Society. 24(1). 58–58. 2 indexed citations
20.
Park, Jong Bin, et al.. (2009). A case of adipsic hypothalamic diabetes insipidus after clipping of an anterior communicating artery aneurysm. The Korean Journal of Internal Medicine. 77. 1217–1221. 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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