Seok Won Chung

4.9k total citations
149 papers, 3.5k citations indexed

About

Seok Won Chung is a scholar working on Surgery, Epidemiology and Orthopedics and Sports Medicine. According to data from OpenAlex, Seok Won Chung has authored 149 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Surgery, 82 papers in Epidemiology and 25 papers in Orthopedics and Sports Medicine. Recurrent topics in Seok Won Chung's work include Shoulder Injury and Treatment (126 papers), Shoulder and Clavicle Injuries (79 papers) and Nerve Injury and Rehabilitation (23 papers). Seok Won Chung is often cited by papers focused on Shoulder Injury and Treatment (126 papers), Shoulder and Clavicle Injuries (79 papers) and Nerve Injury and Rehabilitation (23 papers). Seok Won Chung collaborates with scholars based in South Korea, United States and Ethiopia. Seok Won Chung's co-authors include Joo Han Oh, Sae Hoon Kim, Joon Yub Kim, Jong Pil Yoon, Kyung-Soo Oh, Hyun Sik Gong, Min Hyung Kim, Youngjun Kim, Jieun Kwon and Young-Min Noh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Seok Won Chung

131 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Seok Won Chung South Korea 31 3.0k 2.2k 674 371 297 149 3.5k
Jong Pil Yoon South Korea 24 1.4k 0.5× 891 0.4× 321 0.5× 135 0.4× 207 0.7× 92 1.8k
Joon Yub Kim South Korea 16 1.4k 0.5× 986 0.5× 297 0.4× 190 0.5× 186 0.6× 56 1.7k
Kyung-Soo Oh South Korea 23 1.2k 0.4× 832 0.4× 214 0.3× 145 0.4× 189 0.6× 61 1.5k
Georg Osterhoff Germany 31 2.4k 0.8× 766 0.4× 444 0.7× 154 0.4× 565 1.9× 220 3.5k
Thomas A. DeCoster United States 27 4.1k 1.4× 2.4k 1.1× 609 0.9× 181 0.5× 360 1.2× 76 4.5k
Chlodwig Kirchhoff Germany 31 1.8k 0.6× 1.0k 0.5× 263 0.4× 129 0.3× 164 0.6× 184 2.9k
Andrew D. Pearle United States 52 7.9k 2.7× 750 0.3× 2.3k 3.4× 143 0.4× 1.1k 3.6× 267 8.8k
Jae Chul Yoo South Korea 41 4.9k 1.7× 2.9k 1.3× 1.0k 1.5× 387 1.0× 203 0.7× 213 5.2k
Adam C. Zoga United States 29 1.9k 0.6× 336 0.2× 1.7k 2.5× 120 0.3× 649 2.2× 119 2.8k
Emmanouil Liodakis Germany 25 1.5k 0.5× 1.0k 0.5× 251 0.4× 520 1.4× 322 1.1× 134 2.2k

Countries citing papers authored by Seok Won Chung

Since Specialization
Citations

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

Fields of papers citing papers by Seok Won Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seok Won Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Seok Won Chung. A scholar is included among the top collaborators of Seok Won Chung 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 Seok Won Chung. Seok Won Chung 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.
Yoon, Jong Pil, et al.. (2025). Graft Treatment for Rotator Cuff Tendon–Bone Interface Augmentation: Status and Prospects–A Narrative Review. Clinics in Orthopedic Surgery. 17(4). 557–557.
2.
Yoon, Jong Pil, et al.. (2025). GLP-1RA Reduces Supraspinatus Fatty Infiltration and Promotes Functional Recovery in a Rat Model of Rotator Cuff Repair. The American Journal of Sports Medicine. 53(12). 2973–2983. 1 indexed citations
3.
Yoon, Jong Pil, Dong-Hyun Kim, Hyun‐Joo Lee, et al.. (2025). Ezetimibe/Atorvastatin, a Treatment for Hyperlipidemia, Inhibits Supraspinatus Fatty Infiltration and Improves Bone-Tendon Interface Healing in a Rotator Cuff Tear Rat Model. The American Journal of Sports Medicine. 53(1). 80–89. 4 indexed citations
5.
Yoon, Jong Pil, et al.. (2024). Metformin inhibits muscle atrophy through the PI3K/AKT/mTOR pathway in a rat model of acute rotator cuff tears. Journal of Shoulder and Elbow Surgery. 34(7). 1811–1818. 1 indexed citations
6.
Chung, Seok Won, et al.. (2024). Effect of Gabapentin on Tendon-to-Bone Healing in a Rat Model of Rotator Cuff Repair. Orthopedics. 47(5). e241–e246.
7.
Yoon, Jong Pil, et al.. (2024). Nanofiber Graft Therapy to Prevent Shoulder Stiffness and Adhesions after Rotator Cuff Tendon Repair: A Comprehensive Review. Biomedicines. 12(7). 1613–1613. 2 indexed citations
8.
Yoon, Jong Pil, Sungjin Park, Dong‐Hyun Kim, & Seok Won Chung. (2023). Metformin increases the expression of proinflammatory cytokines and inhibits supraspinatus fatty infiltration. Journal of Orthopaedic Surgery and Research. 18(1). 674–674. 6 indexed citations
9.
Chung, Seok Won, et al.. (2023). Superior capsular reconstruction for irreparable rotator cuff tear: a review of current methods. SHILAP Revista de lepidopterología. 26(4). 438–444. 8 indexed citations
10.
Chung, Seok Won, et al.. (2023). Calcium pyrophosphate crystal deposition with rotator cuff tear-A case report. Journal of Orthopaedic Science. 29(2). 695–702.
12.
Shin, Myung Ho, et al.. (2022). Can a Two Simple Stitches Method Provide Secure Fixation Strength in Biceps Tenodesis?: Biomechanical Evaluation of Various Suture Techniques. Clinics in Orthopedic Surgery. 14(3). 426–426. 3 indexed citations
13.
Kim, Hyojune, Keewon Shin, Hoyeon Kim, et al.. (2022). Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?. PLoS ONE. 17(10). e0274075–e0274075. 16 indexed citations
14.
Park, Jin‐Young, et al.. (2022). Returning to golf after rotator cuff repair. JSES International. 7(3). 399–405.
15.
Shin, Myung Ho, et al.. (2021). Metastasis of renal cell carcinoma around suture anchor implants. SHILAP Revista de lepidopterología. 24(2). 110–113.
16.
Park, Jin-Young, et al.. (2021). Rotator cuff retear after repair surgery: comparison between experienced and inexperienced surgeons. SHILAP Revista de lepidopterología. 24(3). 135–140. 12 indexed citations
18.
Park, Jin‐Young, et al.. (2018). Return to play after arthroscopic treatment for shoulder instability in elite and professional baseball players. Journal of Shoulder and Elbow Surgery. 28(1). 77–81. 27 indexed citations
19.
Kim, Sun‐Hee, Deukhee Lee, Sehyung Park, et al.. (2016). Automatic segmentation of supraspinatus from MRI by internal shape fitting and autocorrection. Computer Methods and Programs in Biomedicine. 140. 165–174. 23 indexed citations
20.
Chung, Seok Won, Jong Pil Yoon, Kyung-Soo Oh, et al.. (2016). Rotator cuff tear and sarcopenia: are these related?. Journal of Shoulder and Elbow Surgery. 25(9). e249–e255. 23 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