Yoon Jung Choi

3.6k total citations
49 papers, 1.1k citations indexed

About

Yoon Jung Choi is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Yoon Jung Choi has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Surgery, 18 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Yoon Jung Choi's work include Thyroid Cancer Diagnosis and Treatment (17 papers), Head and Neck Anomalies (9 papers) and Breast Cancer Treatment Studies (8 papers). Yoon Jung Choi is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (17 papers), Head and Neck Anomalies (9 papers) and Breast Cancer Treatment Studies (8 papers). Yoon Jung Choi collaborates with scholars based in South Korea, United States and Taiwan. Yoon Jung Choi's co-authors include Ji Sup Yun, Yong Lai Park, Shin Ho Kook, Seon Hyeong Choi, Jung Hee Shin, Dong Hoon Kim, Ji‐Sup Yun, Chan Heun Park, Eun Young Ko and Shin Ho Kook and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and BioMed Research International.

In The Last Decade

Yoon Jung Choi

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon Jung Choi South Korea 23 515 451 240 235 188 49 1.1k
Sang Seol Jung South Korea 18 390 0.8× 302 0.7× 149 0.6× 306 1.3× 277 1.5× 75 1.2k
Yong Lai Park South Korea 20 366 0.7× 187 0.4× 143 0.6× 259 1.1× 141 0.8× 47 1.0k
Qinghai Ji China 24 638 1.2× 994 2.2× 150 0.6× 215 0.9× 91 0.5× 66 1.5k
Ning Qu China 22 310 0.6× 623 1.4× 108 0.5× 209 0.9× 97 0.5× 64 1.2k
Renzo Mazzarotto Italy 20 472 0.9× 532 1.2× 353 1.5× 174 0.7× 79 0.4× 63 1.5k
Jeoung Won Bae South Korea 18 359 0.7× 204 0.5× 112 0.5× 291 1.2× 164 0.9× 67 890
Chan Heun Park South Korea 19 398 0.8× 183 0.4× 131 0.5× 238 1.0× 119 0.6× 52 964
Qinghai Ji China 22 542 1.1× 549 1.2× 117 0.5× 256 1.1× 141 0.8× 86 1.6k
Naohito Yamamoto Japan 16 189 0.4× 132 0.3× 106 0.4× 272 1.2× 168 0.9× 75 892
Ja Seong Bae South Korea 30 1.1k 2.1× 1.7k 3.8× 210 0.9× 166 0.7× 273 1.5× 142 2.4k

Countries citing papers authored by Yoon Jung Choi

Since Specialization
Citations

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

Fields of papers citing papers by Yoon Jung Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon Jung Choi. 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 Yoon Jung Choi. The network helps show where Yoon Jung Choi may publish in the future.

Co-authorship network of co-authors of Yoon Jung Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon Jung Choi. A scholar is included among the top collaborators of Yoon Jung Choi 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 Yoon Jung Choi. Yoon Jung Choi 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, Ji Na, Hee Jin Park, Myung Sub Kim, et al.. (2022). Sonographic and elastographic findings after arthroscopic rotator cuff repair: a comparison with clinical results. British Journal of Radiology. 96(1143). 20210777–20210777. 1 indexed citations
2.
3.
Hahn, Soo Yeon, Jung Hee Shin, Dong Gyu Na, et al.. (2019). Ethanol Ablation of the Thyroid Nodules: 2018 Consensus Statement by the Korean Society of Thyroid Radiology. Korean Journal of Radiology. 20(4). 609–609. 86 indexed citations
4.
Ahn, Hye Shin, Dong Wook Kim, Yoo Jin Lee, et al.. (2018). Postoperative Neck Ultrasonography Surveillance After Thyroidectomy in Patients With Medullary Thyroid Carcinoma: A Multicenter Study. Frontiers in Endocrinology. 9. 102–102. 1 indexed citations
5.
Choi, Yoon Jung, Jeon‐Hor Chen, Hon J. Yu, Yifan Li, & Min‐Ying Su. (2017). Impact of Different Analytic Approaches on the Analysis of the Breast Fibroglandular Tissue Using Diffusion Weighted Imaging. BioMed Research International. 2017. 1–11. 3 indexed citations
6.
Baek, Hye Jin, Dong Wook Kim, Inseon Ryoo, et al.. (2017). Postoperative ultrasonography surveillance in patients with follicular thyroid carcinoma: a multicenter study. La radiologia medica. 122(7). 530–537. 5 indexed citations
7.
Youn, Inyoung, Seon Hyeong Choi, Shin Ho Kook, & Yoon Jung Choi. (2016). Mammographic Breast Density Evaluation in Korean Women Using Fully Automated Volumetric Assessment. Journal of Korean Medical Science. 31(3). 457–457. 24 indexed citations
8.
Lee, So Yeon, Hee-Jin Park, Heon‐Ju Kwon, et al.. (2014). T2 relaxation times of the glenohumeral joint at 3.0 T MRI in patients with and without primary and secondary osteoarthritis. Acta Radiologica. 56(11). 1388–1395. 12 indexed citations
9.
Lee, So Yeon, Hee-Jin Park, Yoon Jung Choi, et al.. (2013). Value of adding sonoelastography to conventional ultrasound in patients with congenital muscular torticollis. Pediatric Radiology. 43(12). 1566–1572. 23 indexed citations
10.
11.
Kim, Sun Mi, Heon Han, Jeong Mi Park, et al.. (2012). A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability. Journal of Digital Imaging. 25(5). 599–606. 13 indexed citations
12.
Min, Kyueng‐Whan, Dong Hoon Kim, Sung‐Im Do, et al.. (2012). Diagnostic and Prognostic Relevance of MMP-11 Expression in the Stromal Fibroblast-Like Cells Adjacent to Invasive Ductal Carcinoma of the Breast. Annals of Surgical Oncology. 20(S3). 433–442. 26 indexed citations
13.
Choi, Yoon Jung, et al.. (2012). The Treatment Outcomes of Medullary Thyroid Carcinoma. Korean Journal of Otorhinolaryngology - Head and Neck Surgery. 55(3). 166–166. 1 indexed citations
14.
Choi, Yoon Jung, Jung Hee Shin, Ji‐hoon Kim, et al.. (2011). Tall Cell Variant of Papillary Thyroid Carcinoma. Journal of Ultrasound in Medicine. 30(6). 853–858. 22 indexed citations
15.
Choi, Yoon Jung, et al.. (2010). Clinical and Imaging Assessment of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinomas. World Journal of Surgery. 34(7). 1494–1499. 106 indexed citations
16.
Kwon, Jung‐Hee, Jongmin Kim, Sun Mi Hong, et al.. (2010). Overexpression of High-Mobility Group Box 2 Is Associated with Tumor Aggressiveness and Prognosis of Hepatocellular Carcinoma. Clinical Cancer Research. 16(22). 5511–5521. 72 indexed citations
17.
Choi, Yoon Jung, Eun Young Ko, Boo‐Kyung Han, et al.. (2009). High-resolution ultrasonographic features of axillary lymph node metastasis in patients with breast cancer. The Breast. 18(2). 119–122. 78 indexed citations
18.
Choi, Yoon Jung, Ji Sup Yun, & Dong Hoon Kim. (2009). Clinical and Ultrasound Features of Cytology Diagnosed Follicular Neoplasm. Endocrine Journal. 56(3). 383–389. 52 indexed citations
19.
Kim, Yong Bae, Jae Whan Lee, Kyu Chang Lee, & Yoon Jung Choi. (2009). Techniques of reoperation for a giant regrown anterior communicating artery aneurysm harboring long-implanted clips and compacted coil mesh. Acta Neurochirurgica. 151(6). 613–618.
20.
Kim, Myung Hyun, et al.. (2006). Malignant Fibrous Histiocytoma of the Common Hepatic Duct. Journal of Computer Assisted Tomography. 30(6). 903–905. 2 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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