Won C. Bae

5.4k citations
137 papers · 4.1k indexed · h-index 37

Won C. Bae

132 papers receiving 4.1k citations

Peers

Won C. Bae
Comparison fields: 5 of 134
  • Rheumatology 1.9k
  • Orthopedics and Sports Medicine 812
  • Equine 95
  • Surgery 1.8k
  • Urology 254
Replace Carl S. Winalski with:
Carl S. Winalski United States
Miika T. Nieminen Finland
Andrea Klauser Austria
Andrew J. Grainger United Kingdom
Daichi Hayashi United States
M.D. Crema United States
Edward F. DiCarlo United States
Christine B. Chung United States
J. Bruce Kneeland United States
Nicola L. Fazzalari Australia
Won C. Bae relative to Carl S. Winalski United States Carl S. Winalski's profile →
Citations per field
00.5×1.5×1.9×
Carl S. Winalski · 1×
Citations per year

Countries citing papers authored by Won C. Bae

Since Specialization
Citations

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

Fields of papers citing papers by Won C. Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20242
4 20240
5 20242
6 20243
7 20232
8 20222
9 202134
10 201841
11 201820
12
Semi-automatic segmentation algorithm for vertebral body in MR spine image
20171
13 201316
14 20139
15 201338
16 201082
17 200931
18
Inhibitory Studies of Hwangryunhaedok-tang on Development of Atopic Dermatitis in NC/Nga Mice
200812
19
Continuous passive motion applied to whole joints stimulates chondrocyte blosynthesis of PRG4
200732
20
Articular cartilage repair, regeneration, and replacement
20045

About Won C. Bae

Won C. Bae is a scholar working on Rheumatology, Equine and Orthopedics and Sports Medicine, having authored 137 papers that have together received 4.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (45 papers), Advanced MRI Techniques and Applications (35 papers), Knee injuries and reconstruction techniques (33 papers), Lower Extremity Biomechanics and Pathologies (21 papers), Spine and Intervertebral Disc Pathology (19 papers), Total Knee Arthroplasty Outcomes (17 papers), Shoulder Injury and Treatment (12 papers) and Medical Imaging and Analysis (12 papers). The work is most often cited by research in Rheumatology (1.9k citations), Orthopedics and Sports Medicine (812 citations) and Equine (95 citations). Won C. Bae has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Robert L. Sah, Christine B. Chung, Jiang Du, Koichi Masuda, Graeme M. Bydder, Sheronda Statum, David Amiel, Eric Y. Chang, William D. Bugbee and Darryl D. DʼLima. Their work appears in journals such as Skeletal Radiology, Osteoarthritis and Cartilage, Radiology, Magnetic Resonance in Medicine and Journal of Biomechanics.

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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