Youngwon Kim

3.1k total citations
87 papers, 2.2k citations indexed

About

Youngwon Kim is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Developmental and Educational Psychology. According to data from OpenAlex, Youngwon Kim has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Physiology, 57 papers in Public Health, Environmental and Occupational Health and 19 papers in Developmental and Educational Psychology. Recurrent topics in Youngwon Kim's work include Obesity, Physical Activity, Diet (55 papers), Physical Activity and Health (49 papers) and Children's Physical and Motor Development (18 papers). Youngwon Kim is often cited by papers focused on Obesity, Physical Activity, Diet (55 papers), Physical Activity and Health (49 papers) and Children's Physical and Motor Development (18 papers). Youngwon Kim collaborates with scholars based in United States, United Kingdom and Hong Kong. Youngwon Kim's co-authors include Gregory J. Welk, Jung Min Lee, Pedro F. Saint‐Maurice, Yang Bai, Paul R. Hibbing, Michael W. Beets, Senlin Chen, Stephen J. Sharp, Philip M. Dixon and Wonwoo Byun and has published in prestigious journals such as Circulation, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Youngwon Kim

79 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngwon Kim United States 25 1.3k 1.1k 438 414 281 87 2.2k
Kate Westgate United Kingdom 27 1.3k 1.0× 1.2k 1.1× 306 0.7× 423 1.0× 317 1.1× 78 2.4k
John M. Schuna United States 25 1.5k 1.1× 1.2k 1.1× 287 0.7× 446 1.1× 290 1.0× 77 2.8k
Lorraine Lanningham‐Foster United States 26 1.2k 0.9× 1.2k 1.1× 458 1.0× 453 1.1× 215 0.8× 52 2.7k
James J. McClain United States 24 2.0k 1.5× 1.6k 1.5× 446 1.0× 608 1.5× 332 1.2× 49 3.0k
Elaine Murtagh Ireland 27 1.2k 0.9× 1.1k 1.0× 607 1.4× 441 1.1× 314 1.1× 81 2.6k
Kate Lyden United States 23 1.9k 1.4× 1.3k 1.2× 213 0.5× 523 1.3× 422 1.5× 67 2.6k
Sjaan R. Gomersall Australia 26 1.1k 0.8× 841 0.8× 266 0.6× 406 1.0× 407 1.4× 114 2.3k
Kelly A. Mackintosh United Kingdom 25 937 0.7× 954 0.9× 628 1.4× 492 1.2× 270 1.0× 154 2.6k
Pedro F. Saint‐Maurice United States 29 1.8k 1.3× 1.7k 1.5× 714 1.6× 563 1.4× 316 1.1× 111 3.1k
Katrina D. DuBose United States 24 1.2k 0.9× 1.3k 1.2× 662 1.5× 474 1.1× 315 1.1× 81 2.8k

Countries citing papers authored by Youngwon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngwon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Youngwon Kim. 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 Youngwon Kim. The network helps show where Youngwon Kim may publish in the future.

Co-authorship network of co-authors of Youngwon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youngwon Kim. A scholar is included among the top collaborators of Youngwon Kim 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 Youngwon Kim. Youngwon Kim 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.
Wang, Mengyao, Paul J. Collings, Ziyuan Chen, et al.. (2025). Prospective associations between muscle strength and genetic susceptibility to type 2 diabetes with incident type 2 diabetes: a UK Biobank study. BMC Medicine. 23(1). 93–93. 1 indexed citations
3.
Wang, Mengyao, Shiu Lun Au Yeung, Shan Luo, et al.. (2023). Adherence to a healthy lifestyle, genetic susceptibility to abdominal obesity, cardiometabolic risk markers, and risk of coronary heart disease. American Journal of Clinical Nutrition. 118(5). 911–920. 10 indexed citations
4.
Bai, Yang, et al.. (2023). Concurrent Validity Of Wearable Activity Monitors Designed For Children In Estimating Moderate-to-vigorous Physical Activity. Medicine & Science in Sports & Exercise. 55(9S). 248–248. 1 indexed citations
5.
Kim, Youngwon, Tessa Strain, Stephen J. Sharp, et al.. (2023). Replacing device‐measured sedentary time with physical activity is associated with lower risk of coronary heart disease regardless of genetic risk. Journal of Internal Medicine. 295(1). 38–50. 6 indexed citations
6.
Panter, Jenna, Mengyao Wang, Shiu Lun Au Yeung, et al.. (2023). Mode of transport, genetic susceptibility, and incidence of coronary heart disease. International Journal of Behavioral Nutrition and Physical Activity. 20(1). 79–79. 2 indexed citations
7.
Wan, Neng, Ryan D. Burns, Timothy A. Brusseau, et al.. (2021). The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings. Sensors. 21(4). 1411–1411. 6 indexed citations
9.
Burns, Ryan D., et al.. (2021). Inter-Device Agreement between Fitbit Flex 1 and 2 for Assessing Sedentary Behavior and Physical Activity. International Journal of Environmental Research and Public Health. 18(5). 2716–2716.
10.
Kim, Youngwon, et al.. (2019). Concurrent validity of the Fitbit for assessing sedentary behavior and moderate-to-vigorous physical activity. BMC Medical Research Methodology. 19(1). 29–29. 54 indexed citations
11.
Byun, Wonwoo, Jung Min Lee, Youngwon Kim, & Timothy A. Brusseau. (2018). Classification Accuracy of a Wearable Activity Tracker for Assessing Sedentary Behavior and Physical Activity in 3–5-Year-Old Children. International Journal of Environmental Research and Public Health. 15(4). 594–594. 20 indexed citations
12.
Byun, Wonwoo, Youngwon Kim, & Timothy A. Brusseau. (2018). The Use of a Fitbit Device for Assessing Physical Activity and Sedentary Behavior in Preschoolers. The Journal of Pediatrics. 199. 35–40. 22 indexed citations
13.
Chen, Senlin, Xihe Zhu, Gregory J. Welk, & Youngwon Kim. (2015). Tracking energy balance in adolescents: Levels of compliance, energy flux, and learning. Journal of Exercise Science & Fitness. 13(1). 35–41. 4 indexed citations
14.
Chen, Senlin, Youngwon Kim, & Zan Gao. (2014). The contributing role of physical education in youth’s daily physical activity and sedentary behavior. BMC Public Health. 14(1). 110–110. 89 indexed citations
15.
Kim, Youngwon, Jung-Min Lee, Kelly R. Laurson, et al.. (2014). Accuracy of Neck Circumference in Classifying Overweight and Obese US Children. PubMed. 2014. 1–6. 14 indexed citations
16.
Welk, Gregory J., Youngwon Kim, Bryan Stanfill, et al.. (2014). Validity of 24-h Physical Activity Recall. Medicine & Science in Sports & Exercise. 46(10). 2014–2024. 51 indexed citations
17.
Kim, Youngwon, Scott E. Crouter, Jung Min Lee, et al.. (2014). Comparisons of prediction equations for estimating energy expenditure in youth. Journal of science and medicine in sport. 19(1). 35–40. 22 indexed citations
18.
Kim, Ji Yeon, et al.. (2013). Analysis of Forecasting Error of the Exit Poll for the General Election of 2012 in Korea. 14(3). 1–17.
19.
Kim, Youngwon, Michael W. Beets, & Gregory J. Welk. (2012). Everything you wanted to know about selecting the “right” Actigraph accelerometer cut-points for youth, but…: A systematic review. Journal of science and medicine in sport. 15(4). 311–321. 142 indexed citations
20.
Kim, Youngwon, et al.. (2007). Changes of HRV according to Emotional Stimulus in Sasang Constitutional Groups. Journal of Oriental Neuropsychiatry. 18(2). 25–34. 3 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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