Youngwon Kim

94 papers receiving 2.7k citations

Peers

Youngwon Kim
Comparison fields: 5 of 128
  • Physiology 1.6k
  • Physical Therapy, Sports Therapy and Rehabilitation 93
  • Astronomy and Astrophysics 286
  • Life-span and Life-course Studies 14
  • Complementary and alternative medicine 91
Replace Paolo Mazzola with:
Paolo Mazzola Italy
Summer B. Cook United States
Kate L. Westgate United Kingdom
James J. McClain United States
Tessa Strain United Kingdom
Vegar Rangul Norway
Amanda E. Paluch United States
Ing‐Mari Dohrn Sweden
Travis J. Saunders Canada
Tom White United Kingdom
Youngwon Kim relative to Paolo Mazzola Italy Paolo Mazzola's profile →
Citations per field
00.5×2×4×6.5×
Paolo Mazzola · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Youngwon Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Youngwon Kim Line = papers co-authored together Youngwon Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014358
2 2017190
3 2012151
4 2015126
5 201796
6 201490
7 201684
8 201881
9 200380
10 201769
11 201564
12 201764
13 201457
14 201955
15 201654
16 201649
17 201447
18 201541
19 200438
20 201737

About Youngwon Kim

Youngwon Kim is a scholar working on Physiology, Astronomy and Astrophysics, Statistics and Probability, Genetics and Complementary and alternative medicine, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include Physical Activity and Health (66 papers), Genetic Associations and Epidemiology (9 papers), Stellar, planetary, and galactic studies (9 papers), Obesity, Physical Activity, Diet (5 papers), Survey Sampling and Estimation Techniques (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular and exercise physiology (3 papers) and Solar and Space Plasma Dynamics (3 papers). The work is most often cited by research in Physiology (1.6k citations), Physical Therapy, Sports Therapy and Rehabilitation (93 citations), Astronomy and Astrophysics (286 citations), Life-span and Life-course Studies (14 citations) and Complementary and alternative medicine (91 citations). Youngwon Kim has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Gregory J. Welk, Jung Min Lee, Pedro F. Saint‐Maurice, Yang Bai, Paul R. Hibbing, Stephen J. Sharp, Michael W. Beets, P. Demarque, Senlin Chen and Philip M. Dixon. Their work appears in journals such as Medicine & Science in Sports & Exercise, BMC Public Health, International Journal of Environmental Research and Public Health, Journal of science and medicine in sport and American Journal of Preventive Medicine.

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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