Soon-Chan Kwon

38 papers receiving 272 citations

Peers

Soon-Chan Kwon
Comparison fields: 5 of 101
  • Complementary and Manual Therapy 9
  • Occupational Therapy 17
  • Medical Laboratory Technology 6
  • Health, Toxicology and Mutagenesis 46
  • Leadership and Management 4
Replace Guilin Yi with:
Guilin Yi China
Maher Maoua Tunisia
Inchul Jeong South Korea
Chang Ho Chae South Korea
J.-P. Michaely France
Tomoo Hidaka Japan
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Fereshteh Baygi Denmark
Lutgart Braeckman Belgium
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Citations per year

Countries citing papers authored by Soon-Chan Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soon-Chan Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Chan Kwon. 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 Soon-Chan Kwon. The network helps show where Soon-Chan Kwon may publish in the future.

Co-authors

The 25 scholars most cited alongside Soon-Chan Kwon, 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 Soon-Chan Kwon Line = papers co-authored together Soon-Chan Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201650
2 201427
3 201822
4 200821
5 201820
6 202313
7 201213
8 201413
9 201812
10 202211
11 20198
12 20237
13 20147
14 20056
15 20215
16 20155
17 20205
18 20214
19 20174
20 20234

About Soon-Chan Kwon

Soon-Chan Kwon is a scholar working on Radiological and Ultrasound Technology, Experimental and Cognitive Psychology, Pharmacology, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering, having authored 44 papers that have together received 298 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (6 papers), Sleep and Work-Related Fatigue (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Ergonomics and Musculoskeletal Disorders (3 papers), Video Coding and Compression Technologies (2 papers), Thermoregulation and physiological responses (2 papers), Per- and polyfluoroalkyl substances research (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Complementary and Manual Therapy (9 citations), Occupational Therapy (17 citations), Medical Laboratory Technology (6 citations), Health, Toxicology and Mutagenesis (46 citations) and Leadership and Management (4 citations). Soon-Chan Kwon has collaborated with scholars based in South Korea, Canada and Ethiopia. Frequent co-authors include Yong-Jin Lee, Jaechul Song, Inah Kim, Min-Sung Kang, Geoffrey M. Calvert, Seong‐Woo Kim, Jungsun Park, Mi-Hye Jeong, Soo‐Jin Lee and Jung‐Wan Koo. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Korean Medical Science, Annals of Occupational and Environmental Medicine, Animals and Applied Sciences.

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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