Jee Won Chai

2.3k total citations · 1 hit paper
43 papers, 1.7k citations indexed

About

Jee Won Chai is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Jee Won Chai has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 11 papers in Epidemiology and 11 papers in Orthopedics and Sports Medicine. Recurrent topics in Jee Won Chai's work include Shoulder Injury and Treatment (13 papers), Shoulder and Clavicle Injuries (10 papers) and Spine and Intervertebral Disc Pathology (7 papers). Jee Won Chai is often cited by papers focused on Shoulder Injury and Treatment (13 papers), Shoulder and Clavicle Injuries (10 papers) and Spine and Intervertebral Disc Pathology (7 papers). Jee Won Chai collaborates with scholars based in South Korea, United States and Ethiopia. Jee Won Chai's co-authors include Sohee Oh, Chris Hyunchul Jo, Eui Cheol Jeong, Kang Sup Yoon, Ji Sun Shin, Hackjoon Shim, Heung Sik Kang, Joon Woo Lee, Ji Eun Kim and Won Hyoung Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Sports Medicine and Stem Cells.

In The Last Decade

Jee Won Chai

40 papers receiving 1.6k citations

Hit Papers

Intra‐Articular Injection... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jee Won Chai 805 780 569 356 204 43 1.7k
Wook Jin 842 1.0× 509 0.7× 247 0.4× 148 0.4× 293 1.4× 90 1.6k
C. Cyteval 1.2k 1.5× 705 0.9× 281 0.5× 141 0.4× 162 0.8× 94 2.1k
Christopher J. Centeno 870 1.1× 621 0.8× 752 1.3× 513 1.4× 477 2.3× 59 2.0k
Mercedes Alberca 493 0.6× 592 0.8× 778 1.4× 345 1.0× 164 0.8× 16 1.8k
Jérémy Magalon 983 1.2× 375 0.5× 432 0.8× 1.0k 2.9× 350 1.7× 76 2.1k
Marina Huguet 376 0.5× 695 0.9× 630 1.1× 373 1.0× 129 0.6× 52 1.7k
Mislav Jelić 1.3k 1.6× 1.2k 1.5× 280 0.5× 476 1.3× 270 1.3× 39 2.2k
Dominik Parsch 1.2k 1.5× 312 0.4× 320 0.6× 146 0.4× 111 0.5× 45 1.8k
J. Pringle 1.1k 1.4× 1.5k 1.9× 104 0.2× 284 0.8× 178 0.9× 43 2.3k

Countries citing papers authored by Jee Won Chai

Since Specialization
Citations

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

Fields of papers citing papers by Jee Won Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jee Won Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Jee Won Chai. A scholar is included among the top collaborators of Jee Won Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jee Won Chai. Jee Won Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Dong Hyun, Hee‐Dong Chae, Eugene Lee, et al.. (2024). Assessing visibility and bone changes of spinal metastases in CT scans: a comprehensive analysis across diverse cancer types. Skeletal Radiology. 53(8). 1553–1561. 1 indexed citations
2.
Kim, Dong Hyun, et al.. (2024). Imaging Evaluation of Early and Long-Term Complications Associated with the Postoperative Spine. SHILAP Revista de lepidopterología. 85(1). 36–36. 2 indexed citations
3.
Kim, Dong Hyun, Hee‐Dong Chae, Eugene Lee, et al.. (2024). Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study. Korean Journal of Radiology. 25(4). 363–363. 9 indexed citations
4.
Kim, Sae Hoon, Hye Jin Yoo, Soon Ho Yoon, et al.. (2024). Development of a deep learning-based fully automated segmentation of rotator cuff muscles from clinical MR scans. Acta Radiologica. 65(9). 1126–1132. 3 indexed citations
5.
Oh, Chang‐Myung, et al.. (2024). An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data. Diabetes & Metabolism Journal. 49(1). 92–104. 1 indexed citations
6.
Chai, Jee Won, et al.. (2023). Effect of Patient’s Positioning on the Grade of Tendinosis and Visible Range of Infraspinatus Tendon on Ultrasound. Journal of the Korean Society of Radiology. 84(3). 627–627.
7.
Kim, Ue-Hwan, et al.. (2023). Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI. Skeletal Radiology. 53(5). 957–965. 1 indexed citations
8.
Koo, Bo Kyung, Sae Kyung Joo, Dong Hyeon Lee, et al.. (2023). Low‐quality muscle mass rather than normal‐quality muscle mass determines fibrosis progression in biopsy‐proven NAFLD. Alimentary Pharmacology & Therapeutics. 58(3). 322–333. 4 indexed citations
9.
Park, Hye Eun, Jee Won Chai, Chris Hyunchul Jo, et al.. (2022). Florid Reactive Periostitis of the Clavicle: A Case Report. Journal of the Korean Society of Radiology. 83(2). 414–414. 2 indexed citations
10.
Kim, Dong Hyun, Jee Won Chai, Ji Hee Kang, et al.. (2022). Ensemble deep learning model for predicting anterior cruciate ligament tear from lateral knee radiograph. Skeletal Radiology. 51(12). 2269–2279. 4 indexed citations
11.
Kim, Yong Hee, et al.. (2021). A problem-based approach in musculoskeletal ultrasonography: heel pain in adults. ULTRASONOGRAPHY. 41(1). 34–52. 5 indexed citations
12.
Chai, Jee Won, et al.. (2021). A problem-based approach in musculoskeletal ultrasonography: central metatarsalgia. ULTRASONOGRAPHY. 41(2). 225–242. 6 indexed citations
13.
Park, Jina, Yoon‐Hee Choi, Jee Won Chai, et al.. (2018). Anterior capsular abnormality: another important MRI finding for the diagnosis of adhesive capsulitis of the shoulder. Skeletal Radiology. 48(4). 543–552. 20 indexed citations
14.
Chai, Jee Won, et al.. (2018). Reliable measurements of physiologic ankle syndesmosis widening using dynamic 3D ultrasonography: a preliminary study. ULTRASONOGRAPHY. 38(3). 236–245. 6 indexed citations
15.
Shin, Su-Mi & Jee Won Chai. (2016). Brain ultrasonographic findings of late-onset circulatory dysfunction due to adrenal insufficiency in preterm infants. ULTRASONOGRAPHY. 35(3). 258–264. 3 indexed citations
16.
Chai, Jee Won, et al.. (2016). Radial head button holing: a cause of irreducible anterior radial head dislocation. Skeletal Radiology. 45(10). 1449–1452. 3 indexed citations
17.
Kim, Sujin, Joon Woo Lee, Jee Won Chai, et al.. (2015). A New MRI Grading System for Cervical Foraminal Stenosis Based on Axial T2-Weighted Images. Korean Journal of Radiology. 16(6). 1294–1294. 57 indexed citations
18.
Chai, Jee Won, et al.. (2014). Ultrasonographic diagnosis of snapping annular ligament in the elbow. ULTRASONOGRAPHY. 34(1). 71–73. 6 indexed citations
19.
20.
Chai, Jee Won, Sung Hwan Hong, Ja‐Young Choi, et al.. (2010). Radiologic Diagnosis of Osteoid Osteoma: From Simple to Challenging Findings. Radiographics. 30(3). 737–749. 158 indexed citations

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

Rankless by CCL
2026