Yun‐A Shin

1.8k total citations
69 papers, 561 citations indexed

About

Yun‐A Shin is a scholar working on Physiology, Orthopedics and Sports Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yun‐A Shin has authored 69 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 16 papers in Orthopedics and Sports Medicine and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yun‐A Shin's work include Sports injuries and prevention (10 papers), Adipose Tissue and Metabolism (8 papers) and Health and Wellbeing Research (8 papers). Yun‐A Shin is often cited by papers focused on Sports injuries and prevention (10 papers), Adipose Tissue and Metabolism (8 papers) and Health and Wellbeing Research (8 papers). Yun‐A Shin collaborates with scholars based in South Korea, United States and Taiwan. Yun‐A Shin's co-authors include Wook Song, Kyoung-Bae Kim, Tae-Won Jun, Changsun Kim, Hyo Jeong Kim, Seok‐Jun Yoon, Il‐Young Kim, Kijin Kim, Scott Schutzler and Robert R. Wolfe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

Yun‐A Shin

51 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yun‐A Shin South Korea 13 279 100 80 74 62 69 561
Chiyoko Usui Japan 14 417 1.5× 115 1.1× 71 0.9× 79 1.1× 46 0.7× 38 644
Shigeharu Numao Japan 14 334 1.2× 96 1.0× 97 1.2× 97 1.3× 79 1.3× 41 562
Giorgio Orlando United Kingdom 16 383 1.4× 101 1.0× 48 0.6× 63 0.9× 84 1.4× 36 779
Yi-Ching Huang Taiwan 14 247 0.9× 98 1.0× 118 1.5× 40 0.5× 38 0.6× 17 653
A. Burke Gurney United States 6 334 1.2× 61 0.6× 66 0.8× 46 0.6× 42 0.7× 8 547
Francisco José Berral de la Rosa Spain 15 259 0.9× 105 1.1× 80 1.0× 76 1.0× 76 1.2× 100 902
Hunter L. Paris United States 13 322 1.2× 73 0.7× 124 1.6× 36 0.5× 62 1.0× 29 662
Chiara Di Loreto Italy 13 499 1.8× 86 0.9× 63 0.8× 117 1.6× 45 0.7× 23 1.0k
Shin-ya Ueda Japan 12 256 0.9× 98 1.0× 70 0.9× 25 0.3× 62 1.0× 29 666
Mihaela Jurdana Slovenia 15 261 0.9× 70 0.7× 52 0.7× 82 1.1× 50 0.8× 27 702

Countries citing papers authored by Yun‐A Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐A Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐A Shin. 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 Yun‐A Shin. The network helps show where Yun‐A Shin may publish in the future.

Co-authorship network of co-authors of Yun‐A Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐A Shin. A scholar is included among the top collaborators of Yun‐A Shin 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 Yun‐A Shin. Yun‐A Shin 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.
Yasaka, Tyler M., Yun‐A Shin, Yibing Guo, et al.. (2025). Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models. Cancer Research Communications. 5(4). 706–718.
2.
Kim, Yang‐Hyun, et al.. (2024). MLPH is a novel adipogenic factor controlling redox homeostasis to inhibit lipid peroxidation in adipocytes. Biochemical and Biophysical Research Communications. 734. 150459–150459.
3.
Cha, EunSeok, Nak‐Hoon Son, Kyong Hye Joung, et al.. (2024). Differences in patient‐reported and clinical characteristics by age group in adults with type 2 diabetes. Worldviews on Evidence-Based Nursing. 21(4). 467–476.
4.
Shin, Yun‐A & Jae‐Hyun Kim. (2023). Effects of Cardiorespiratory Fitness on Cardiovascular Disease Risk Factors and Telomere Length by Age and Obesity. Journal of Obesity & Metabolic Syndrome. 32(3). 259–268. 3 indexed citations
5.
Cha, EunSeok, Kyong Hye Joung, Yun‐A Shin, et al.. (2023). Comparisons of Psycho-Behavioral Factors, Body Composition, and Clinical Outcomes in Adults With Type 2 Diabetes by Perceived Hypoglycemia. PubMed. 49(5). 351–361. 2 indexed citations
6.
Shin, Yun‐A, et al.. (2023). Effects of Physical Activity on Sleep Quality and Clinical Outcomes in persons with Type 2 Diabetes. Journal of Coaching Development. 25(1). 213–222.
7.
Shin, Yun‐A, et al.. (2022). Grip Strength Measurement in the Right Hand Better Predicts Mortality Regardless of Dominant Hand. SHILAP Revista de lepidopterología. 31(1). 110–118. 1 indexed citations
8.
Son, Jang Won, Sukho Lee, Minsoo Kang, Yun‐A Shin, & Jae‐Hyun Kim. (2022). Optimal Frequency Intensity of Physical Activity to Reduce the Risk of Hypertension in the Korean Population. SHILAP Revista de lepidopterología. 31(1). 129–140.
9.
Shin, Yun‐A, Changsun Kim, & Dong‐Ho Park. (2018). Effects of Physical Activity, Exercise Training and Physical Fitness on Telomere Length as Biomarker of Cell Aging. Exercise Science. 27(2). 96–108. 1 indexed citations
10.
Kim, Hyo‐Jin, et al.. (2017). The effect of wear of functional clothing included germanium fabrics on the anaerobic exercise capacity and fatigue, oxygen carrying capacity. Biomedical Research-tokyo. 563–567. 1 indexed citations
11.
Shin, Yun‐A, et al.. (2016). Comparison of tests for measuring maximal exercise ability in elite swimmers. Journal of Exercise Rehabilitation. 12(3). 209–215. 5 indexed citations
12.
Shin, Yun‐A, et al.. (2015). The Effect on Muscle Activation in Trunk and Low-limbs during Squat Exercise on Various Instability Surface. The Korean Journal of Physical Education. 54(1). 505–514. 2 indexed citations
13.
Shin, Yun‐A, et al.. (2015). Effect of high-intensity exercise and high-fat diet on lipid metabolism in the liver of rats. Physical Activity and Nutrition. 19(4). 289–295. 18 indexed citations
14.
Shin, Yun‐A, et al.. (2014). Effects of combined linear and nonlinear periodic training on physical fitness and competition times in finswimmers. Journal of Exercise Rehabilitation. 10(5). 306–312. 7 indexed citations
15.
Shin, Yun‐A, et al.. (2012). The Comparative Analysis of Energy Expenditure, Muscle Activity and Fatigue on Gait Speed and Shoes Type.. Korean Journal of Sports Science. 21(1). 747–759. 1 indexed citations
16.
Shin, Yun‐A, et al.. (2012). Relationships between Age, Physical Activity and Obesity Index in Men. 7(3). 199–208. 2 indexed citations
17.
Shin, Yun‐A, et al.. (2012). The Study on Isometric Muscular Strength in Upper Limb among National Male Disabled Athletes. Korean Journal of Sports Science. 21(5). 1159–1168. 1 indexed citations
18.
Shin, Yun‐A, et al.. (2012). Changes of Muscular Strength and Balance Ability After Rehabilitation Programme Related with Graft Choice in ACL Reconstruction. The Korean Journal of Physical Education. 51(1). 429–440.
19.
Shin, Yun‐A, et al.. (2012). Effects of Acute Aerobic Exercise on Circulating Adiponectin and Inflammatory Makers in Obese Middle-Aged Women. 12(4). 203–210. 1 indexed citations
20.
Shin, Yun‐A & Sung‐Jin Kim. (2010). Effects of Muscle Strength, Muscle Power, and Muscle Endurance following Resistance Training according to ACTN3 Genotype. The Korean Journal of Physical Education. 49(3). 329–341.

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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