Won C. Bae

135 papers receiving 4.5k citations

Peers

Won C. Bae
Comparison fields: 5 of 135
  • Rheumatology 1.9k
  • Orthopedics and Sports Medicine 671
  • Equine 75
  • Urology 249
  • Surgery 1.4k
Replace Miika Tapio Nieminen with:
Miika Tapio Nieminen Finland
Christine B. Chung United States
Michel D. Crema United States
Daichi Hayashi United States
J. Bruce Kneeland United States
Xiaojuan Li United States
Philipp K. Lang United States
Crystal Benjamin United States
Kenneth A. Buckwalter United States
David G. Disler United States
Won C. Bae relative to Miika Tapio Nieminen Finland Miika Tapio Nieminen's profile →
Citations per field
00.5×1.5×2×2.5×
Miika Tapio Nieminen · 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-authors

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

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001215
2 2011143
3 2013128
4 2007118
5 2011114
6 2004112
7 2012106
8 2008103
9 2006103
10 2009100
11 2011100
12 200398
13 201198
14 201797
15 200595
16 200894
17 201091
18 200986
19 201077
20 202377

About Won C. Bae

Won C. Bae is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Pathology and Forensic Medicine and Surgery, having authored 138 papers that have together received 4.6k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (40 papers), Advanced MRI Techniques and Applications (25 papers), Knee injuries and reconstruction techniques (18 papers), Spine and Intervertebral Disc Pathology (15 papers), Total Knee Arthroplasty Outcomes (11 papers), Lower Extremity Biomechanics and Pathologies (9 papers), Medical Imaging and Analysis (8 papers) and Bone and Joint Diseases (6 papers). The work is most often cited by research in Rheumatology (1.9k citations), Orthopedics and Sports Medicine (671 citations), Equine (75 citations), Urology (249 citations) and Surgery (1.4k 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, Sheronda M. Statum, Graeme M. Bydder, David Amiel, Eric Yao Chang, William D. Bugbee and Benjamin L. Wong. Their work appears in journals such as Skeletal Radiology, Osteoarthritis and Cartilage, Radiology, Journal of Magnetic Resonance Imaging and Magnetic Resonance in 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.

Explore authors with similar magnitude of impact