Yang‐Guk Chung

1.1k total citations
70 papers, 796 citations indexed

About

Yang‐Guk Chung is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Rheumatology. According to data from OpenAlex, Yang‐Guk Chung has authored 70 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 28 papers in Pulmonary and Respiratory Medicine and 24 papers in Rheumatology. Recurrent topics in Yang‐Guk Chung's work include Sarcoma Diagnosis and Treatment (28 papers), Bone Tumor Diagnosis and Treatments (15 papers) and Orthopedic Surgery and Rehabilitation (12 papers). Yang‐Guk Chung is often cited by papers focused on Sarcoma Diagnosis and Treatment (28 papers), Bone Tumor Diagnosis and Treatments (15 papers) and Orthopedic Surgery and Rehabilitation (12 papers). Yang‐Guk Chung collaborates with scholars based in South Korea, United States and United Kingdom. Yang‐Guk Chung's co-authors include Kee-Yong Ha, Chan Kwon Jung, Won-Hee Jee, Joon‐Yong Jung, Min Wook Joo, So Yeon Lee, Seung Han Shin, Sun‐Ki Kim, Joo‐Yup Lee and Seul Ki Lee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Yang‐Guk Chung

64 papers receiving 778 citations

Peers

Yang‐Guk Chung

SURGE

PRM

RHEUM

RNMI

EPIDE

Christoph Rehnitz Germany

Hyun Guy Kang South Korea

M. H. Seegenschmiedt Germany

June Hyuk Kim South Korea

R. Campagna France

Sung Moon Kim South Korea

D Uyttendaele Belgium

Hsuan-Ying Huang Taiwan

Gregory Scott Stacy United States

Ferdinando Draghi Italy

Christoph Rehnitz Germany

Yang‐Guk Chung

394 ×1.1

SURGE

268 ×1.2

PRM

420 ×2.0

RHEUM

83 ×0.5

RNMI

74 ×0.8

EPIDE

Citations per year, relative to Yang‐Guk Chung Yang‐Guk Chung (= 1×) peers Christoph Rehnitz

Countries citing papers authored by Yang‐Guk Chung

Since Specialization

Citations

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

Fields of papers citing papers by Yang‐Guk Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Guk 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 Yang‐Guk Chung. The network helps show where Yang‐Guk Chung may publish in the future.

Co-authorship network of co-authors of Yang‐Guk Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Yang‐Guk Chung. A scholar is included among the top collaborators of Yang‐Guk 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 Yang‐Guk Chung. Yang‐Guk Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Joo, Min Wook, et al.. (2024). Feasibility of a Novel In-situ Local Tumor Ablation and Recycling Machine Based on Radiofrequency Dielectric Heating: In-depth Review on Research Background and Preliminary Report of an Experimental Study. Clinics in Orthopedic Surgery. 16(1). 157–157. 2 indexed citations

Lee, Se‐Won, et al.. (2023). Automatic segmentation of inconstant fractured fragments for tibia/fibula from CT images using deep learning. Scientific Reports. 13(1). 7 indexed citations

Lee, Hyemi, et al.. (2023). Mesencephalic astrocyte-derived neurotrophic factor promotes axonal regeneration and the motor function recovery after sciatic nerve injury. Biochemical and Biophysical Research Communications. 674. 36–43.

Kuh, Sung Uk, et al.. (2023). Deep Learning Model Based on You Only Look Once Algorithm for Detection and Visualization of Fracture Areas in Three-Dimensional Skeletal Images. Diagnostics. 14(1). 11–11. 15 indexed citations

Lee, Yong-Suk, et al.. (2023). Minimally Invasive Carpal Tunnel Release Using a Hook Knife through a Small Transverse Carpal Incision: Technique and Outcome. Clinics in Orthopedic Surgery. 15(2). 318–318. 3 indexed citations

Joo, Min Wook, et al.. (2023). Development and Validation of a Convolutional Neural Network Model to Predict a Pathologic Fracture in the Proximal Femur Using Abdomen and Pelvis CT Images of Patients With Advanced Cancer. Clinical Orthopaedics and Related Research. 481(11). 2247–2256.

Jo, Woo-Lam, et al.. (2023). Structural analysis of customized 3D printed plate for pelvic bone by comparison with conventional plate based on bending process. Scientific Reports. 13(1). 3 indexed citations

Lee, Seungeun, So Yeon Lee, Joon‐Yong Jung, et al.. (2023). Ensemble learning-based radiomics with multi-sequence magnetic resonance imaging for benign and malignant soft tissue tumor differentiation. PLoS ONE. 18(5). e0286417–e0286417. 6 indexed citations

Kwak, Dai‐Soon, et al.. (2022). Stabilization of the Distal Radioulnar Joint with or without Triangular Fibrocartilage Complex Tear by an External Wrist Band Brace: A Cadaveric Study. Healthcare. 10(5). 828–828. 2 indexed citations

10.

Chung, Yang‐Guk, et al.. (2022). Does a Customized 3D Printing Plate Based on Virtual Reduction Facilitate the Restoration of Original Anatomy in Fractures?. Journal of Personalized Medicine. 12(6). 927–927. 4 indexed citations

11.

Kwak, Dai‐Soon, et al.. (2022). Is the Fovea Ulnaris Truly Isometric during Forearm Rotation?—An In Vivo Retrospective Analysis Using Superimpositions of Three-Dimensional Reconstructions. Applied Sciences. 12(6). 3108–3108. 1 indexed citations

12.

Choe, Bo‐Young, et al.. (2022). Quantitative Assessment of the Restoration of Original Anatomy after 3D Virtual Reduction of Long Bone Fractures. Diagnostics. 12(6). 1372–1372. 5 indexed citations

13.

Joo, Min Wook, et al.. (2022). Secondary Malignancy in Giant Cell Tumor: A Single-Center Study. Current Oncology. 29(6). 4068–4080. 2 indexed citations

14.

Joo, Min Wook, et al.. (2022). Sarcomas in Teachers Using Three-Dimensional Printers: A Report of Three Patients and Literature Review. Clinics in Orthopedic Surgery. 14(2). 310–310. 8 indexed citations

15.

Kim, Jae Kwang, et al.. (2021). Effectiveness and Biocompatibility of Decellularized Nerve Graft Using an In Vivo Rat Sciatic Nerve Model. Tissue Engineering and Regenerative Medicine. 18(5). 797–805. 5 indexed citations

16.

Lee, Joo‐Yup, et al.. (2020). The anatomy of the saphenous and sural nerves as a source of processed nerve allografts. Cell and Tissue Banking. 21(3). 547–555. 4 indexed citations

17.

Joo, Min Wook, Yong Koo Kang, Koichi Ogura, et al.. (2018). Post-radiation sarcoma: A study by the Eastern Asian Musculoskeletal Oncology Group. PLoS ONE. 13(10). e0204927–e0204927. 18 indexed citations

18.

Chung, Yang‐Guk, et al.. (2013). Does size difference in allogeneic cancellous bone granules loaded with differentiated autologous cultured osteoblasts affect osteogenic potential?. Cell and Tissue Research. 355(2). 337–344. 3 indexed citations

19.

Oh, Il‐Hoan, et al.. (2010). Bone Regeneration Using Mesenchymal Stem Cells Loaded onto Allogeneic Cancellous Bone Granules. Tissue Engineering and Regenerative Medicine. 7(4). 401–409. 4 indexed citations

20.

Kang, Yong-Koo, et al.. (2005). Gastric cancer acrometastases to all digits of one hand following closed intramedullary nailing. Skeletal Radiology. 35(7). 529–532. 7 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.

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