Sun Jae Won

27 papers receiving 481 citations

Peers

Sun Jae Won
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 352
  • Neurology 96
  • Orthopedics and Sports Medicine 47
  • Surgery 170
  • Health Informatics 5
Replace Gregor Omejec with:
Gregor Omejec Slovenia
Malin Zimmerman Sweden
Yu‐Ping Shen Taiwan
Thomas Schelle Germany
Roy Beekman Netherlands
G. Liotta Italy
Michael J. Vennix United States
Tsung-Yen Ho Taiwan
Alessandro Aretini Italy
Kiril Kiprovski United States
Sun Jae Won relative to Gregor Omejec Slovenia Gregor Omejec's profile →
Citations per field
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Gregor Omejec · 1×
Citations per year

Countries citing papers authored by Sun Jae Won

Since Specialization
Citations

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

Fields of papers citing papers by Sun Jae Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun Jae Won. 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 Sun Jae Won. The network helps show where Sun Jae Won may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012108
2 201186
3 201248
4 201442
5 201540
6 201139
7 201617
8 202114
9 202013
10 201112
11 201112
12 201112
13 20159
14 20189
15 20148
16 20156
17 20165
18 20194
19 20104
20 20134

About Sun Jae Won

Sun Jae Won is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology, Neurology and Rehabilitation, having authored 29 papers that have together received 507 indexed citations. Recurring topics across this work include Peripheral Nerve Disorders (14 papers), Orthopedic Surgery and Rehabilitation (3 papers), Neurological disorders and treatments (2 papers), Myofascial pain diagnosis and treatment (2 papers), Stroke Rehabilitation and Recovery (2 papers), Restless Legs Syndrome Research (1 paper), Artificial Intelligence in Healthcare (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (352 citations), Neurology (96 citations), Orthopedics and Sports Medicine (47 citations), Surgery (170 citations) and Health Informatics (5 citations). Sun Jae Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Joon Shik Yoon, Byung‐Jo Kim, Kyung Seok Park, Sung‐Hyuk Choi, Se Hwa Kim, Francis O. Walker, Michael S. Cartwright, Ethan R. Wiesler, George D. Chloros and Anthony J. DeFranzo. Their work appears in journals such as Muscle & Nerve, Journal of Ultrasound in Medicine, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Clinical Neurophysiology and Journal of the Neurological 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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