Myong-Won Seo

598 total citations
40 papers, 412 citations indexed

About

Myong-Won Seo is a scholar working on Physiology, Orthopedics and Sports Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Myong-Won Seo has authored 40 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Orthopedics and Sports Medicine and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Myong-Won Seo's work include Sports Performance and Training (8 papers), Obesity, Physical Activity, Diet (7 papers) and Cardiovascular and exercise physiology (7 papers). Myong-Won Seo is often cited by papers focused on Sports Performance and Training (8 papers), Obesity, Physical Activity, Diet (7 papers) and Cardiovascular and exercise physiology (7 papers). Myong-Won Seo collaborates with scholars based in South Korea, United States and Hong Kong. Myong-Won Seo's co-authors include Hyun Chul Jung, Jung Min Lee, Sung-Woo Kim, Sukho Lee, Sung Woo Jung, Jeong-Hui Park, Joon Young Kim, Jung‐Hyun Kim, Wonhee Cho and Hun‐Young Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and Sensors.

In The Last Decade

Myong-Won Seo

35 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myong-Won Seo South Korea 10 148 146 77 70 67 40 412
Mehrzad Moghadasi Iran 9 114 0.8× 118 0.8× 44 0.6× 51 0.7× 26 0.4× 50 334
Nejmeddine Ouerghi Tunisia 14 152 1.0× 201 1.4× 181 2.4× 59 0.8× 24 0.4× 49 480
Luke Connolly United Kingdom 13 154 1.0× 141 1.0× 142 1.8× 47 0.7× 85 1.3× 18 417
Amanda J. Antczak United States 6 184 1.2× 105 0.7× 89 1.2× 27 0.4× 23 0.3× 9 412
Luis Andreu‐Caravaca Spain 11 60 0.4× 91 0.6× 40 0.5× 32 0.5× 97 1.4× 35 332
Anja Carlsohn Germany 15 311 2.1× 203 1.4× 99 1.3× 82 1.2× 30 0.4× 46 744
Elie Moussa Lebanon 14 264 1.8× 203 1.4× 44 0.6× 35 0.5× 36 0.5× 45 440
Ramires Alsamir Tibana Brazil 11 82 0.6× 98 0.7× 83 1.1× 38 0.5× 22 0.3× 25 327
Eva Kohlíková Czechia 8 163 1.1× 214 1.5× 41 0.5× 32 0.5× 10 0.1× 15 431
Fernanda Maria Martins Brazil 11 71 0.5× 216 1.5× 89 1.2× 74 1.1× 13 0.2× 31 371

Countries citing papers authored by Myong-Won Seo

Since Specialization
Citations

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

Fields of papers citing papers by Myong-Won Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myong-Won Seo. 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 Myong-Won Seo. The network helps show where Myong-Won Seo may publish in the future.

Co-authorship network of co-authors of Myong-Won Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Myong-Won Seo. A scholar is included among the top collaborators of Myong-Won Seo 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 Myong-Won Seo. Myong-Won Seo 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.
Cho, Wonhee, et al.. (2024). Single point insulin sensitivity estimator index for identifying metabolic syndrome in US adults: NHANES 2017-march 2020. Obesity Research & Clinical Practice. 18(4). 280–285. 2 indexed citations
3.
Seo, Myong-Won, Jung Min Lee, & Hyun Chul Jung. (2023). Prevalence of combined metabolic health and weight status by various diagnosis criteria and association with cardiometabolic disease in Korean adults. Obesity Research & Clinical Practice. 17(2). 137–143. 2 indexed citations
4.
Seo, Myong-Won, et al.. (2023). Effects of Aerobic vs. Resistance Exercise on Vascular Function and Vascular Endothelial Growth Factor in Older Women. Healthcare. 11(18). 2479–2479. 11 indexed citations
5.
Seo, Myong-Won, Wonhee Cho, & Joon Young Kim. (2023). The single point insulin sensitivity estimator (SPISE) index as a predictor of metabolic syndrome in Korean adults. Obesity Research & Clinical Practice. 17(3). 198–202. 7 indexed citations
6.
Seo, Myong-Won & Joon Young Kim. (2023). Metabolically unhealthy phenotype in adults with normal weight: Is cardiometabolic health worse off when compared to adults with obesity?. Obesity Research & Clinical Practice. 17(2). 116–121. 4 indexed citations
7.
Seo, Myong-Won, et al.. (2023). Leisure time physical activity: a protective factor against metabolic syndrome development. BMC Public Health. 23(1). 2449–2449. 2 indexed citations
8.
Seo, Myong-Won, et al.. (2023). Increased risk of cardiometabolic disease in normal-weight individuals with non-alcoholic fatty liver disease. Obesity Research & Clinical Practice. 17(5). 390–397. 1 indexed citations
10.
Park, Jeong-Hui, et al.. (2021). A New Equation to Estimate Energy Expenditure Using Heart Rate in Children. Sustainability. 13(9). 5092–5092. 4 indexed citations
12.
Seo, Myong-Won, et al.. (2021). Effects of 16 Weeks of Resistance Training on Muscle Quality and Muscle Growth Factors in Older Adult Women with Sarcopenia: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 18(13). 6762–6762. 75 indexed citations
13.
Seo, Myong-Won, et al.. (2020). Comparisons of Muscle Quality and Muscle Growth Factor Between Sarcopenic and Non-Sarcopenic Older Women. International Journal of Environmental Research and Public Health. 17(18). 6581–6581. 14 indexed citations
14.
Seo, Myong-Won, et al.. (2019). The Associations of Vitamin D Status with Athletic Performance and Blood-borne Markers in Adolescent Athletes: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 16(18). 3422–3422. 23 indexed citations
15.
Jung, Hyun Chul, et al.. (2018). Vitamin D3 Supplementation Reduces the Symptoms of Upper Respiratory Tract Infection during Winter Training in Vitamin D-Insufficient Taekwondo Athletes: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 15(9). 2003–2003. 32 indexed citations
16.
Jung, Hyun Chul, et al.. (2017). Effect of 12 weeks of Taekwondo training on body fatness, health-related fitness and isokineticmuscle strength in obese women aged 35-55 years. Korean Journal of Sports Science. 26(5). 879–891. 1 indexed citations
17.
Lee, Sukho, et al.. (2016). Taekwondo training improves CVD risk factors in obese male adolescents. Archives of Budo. 12. 10 indexed citations
18.
Seo, Myong-Won, et al.. (2015). Comparison of nutritional intake, body composition, bone mineral density, and isokinetic strength in collegiate female dancers. Journal of Exercise Rehabilitation. 11(6). 356–362. 5 indexed citations
19.
Kang, Hyo Jung, et al.. (2015). Comparisons of body composition, physical fitness and isokinetic strength between short-track and speed skaters. Korean Journal of Sports Science. 24(6). 1163–1173.
20.
Jung, Hyun Chul, et al.. (2015). Does Pre-season Training Improve Body Composition, Physical Fitness, and Isokinetic Muscle Strength in Female Taekwondo Athletes?. 2(1). 6–15. 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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