Young Jun Cho

1.1k total citations
69 papers, 808 citations indexed

About

Young Jun Cho is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Young Jun Cho has authored 69 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 18 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Young Jun Cho's work include Thyroid Cancer Diagnosis and Treatment (9 papers), Antenna Design and Analysis (9 papers) and Head and Neck Anomalies (8 papers). Young Jun Cho is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (9 papers), Antenna Design and Analysis (9 papers) and Head and Neck Anomalies (8 papers). Young Jun Cho collaborates with scholars based in South Korea, United States and Germany. Young Jun Cho's co-authors include Won Ho Kim, Jeong Youp Park, Jin Kyung Kang, Pil‐Ki Min, In Suh Park, U. Joseph Schoepf, Seong‐Ook Park, Ullrich Ebersberger, Rozemarijn Vliegenthart and Eun Young Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Young Jun Cho

65 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Jun Cho South Korea 15 285 275 211 205 177 69 808
Mou Li China 21 374 1.3× 144 0.5× 120 0.6× 250 1.2× 135 0.8× 80 1.1k
Philipp Peloschek Austria 19 140 0.5× 165 0.6× 450 2.1× 107 0.5× 86 0.5× 53 1.0k
Lucian Gheorghe Gruionu Romania 12 157 0.6× 115 0.4× 161 0.8× 117 0.6× 174 1.0× 53 531
Geir Arne Tangen Norway 24 190 0.7× 231 0.8× 708 3.4× 44 0.2× 515 2.9× 59 1.3k
Changjun Wu China 15 465 1.6× 105 0.4× 108 0.5× 65 0.3× 368 2.1× 28 1.1k
Lorenzo Leonardi Canada 15 226 0.8× 56 0.2× 100 0.5× 79 0.4× 154 0.9× 40 687
Ole Vegard Solberg Norway 8 157 0.6× 52 0.2× 141 0.7× 31 0.2× 167 0.9× 16 417
Pedro Augusto Gondim Teixeira France 21 498 1.7× 183 0.7× 682 3.2× 43 0.2× 395 2.2× 114 1.3k
R.A. Brasacchio United States 14 133 0.5× 351 1.3× 235 1.1× 116 0.6× 297 1.7× 28 754
Jianying Li China 22 1.1k 4.0× 256 0.9× 123 0.6× 74 0.4× 845 4.8× 77 1.4k

Countries citing papers authored by Young Jun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Young Jun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Jun Cho. 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 Young Jun Cho. The network helps show where Young Jun Cho may publish in the future.

Co-authorship network of co-authors of Young Jun Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Young Jun Cho. A scholar is included among the top collaborators of Young Jun Cho 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 Young Jun Cho. Young Jun Cho 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.
Yang, Jin Seo, et al.. (2022). Outcome Analysis of External Neurolysis in Posture-Induced Compressive Peroneal Neuropathy and the Utility of Magnetic Resonance Imaging in the Treatment Process. Journal of Korean Neurosurgical Society. 66(3). 324–331. 2 indexed citations
2.
Lee, Hyun Woo, Kwang Nam Jin, Sohee Oh, et al.. (2022). Artificial Intelligence Solution for Chest Radiographs in Respiratory Outpatient Clinics: Multicenter Prospective Randomized Clinical Trial. Annals of the American Thoracic Society. 20(5). 660–667. 6 indexed citations
3.
Kim, Eun Young, Young Jae Kim, Won-Jun Choi, et al.. (2022). Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort. PLoS ONE. 17(2). e0264383–e0264383. 21 indexed citations
4.
Jin, Kwang Nam, Eun Young Kim, Young Jae Kim, et al.. (2022). Diagnostic effect of artificial intelligence solution for referable thoracic abnormalities on chest radiography: a multicenter respiratory outpatient diagnostic cohort study. European Radiology. 32(5). 3469–3479. 22 indexed citations
5.
Cho, Young Jun, et al.. (2021). Cervical epidural hematoma with Brown-Sequard syndrome caused by an epidural injection: a case report. Clinical and Experimental Emergency Medicine. 8(4). 336–339. 1 indexed citations
8.
Lee, Yoo Jin, Dong Wook Kim, Young Jin Heo, et al.. (2019). Unexpected Lung and Brain Metastases 9 Years After Thyroid Lobectomy for Follicular Adenoma: A Case Report. Frontiers in Endocrinology. 10. 783–783. 5 indexed citations
9.
Lee, Sang Yub, et al.. (2019). Efficacy and Safety of Transvenous Embolization of Type II Renal Arteriovenous Malformations with Coils. Journal of Vascular and Interventional Radiology. 30(6). 807–812. 11 indexed citations
10.
Kang, Taewoo, Dong Wook Kim, Yoo Jin Lee, et al.. (2018). Magnetic Resonance Imaging Features of Normal Thyroid Parenchyma and Incidental Diffuse Thyroid Disease: A Single-Center Study. Frontiers in Endocrinology. 9. 746–746. 6 indexed citations
11.
Lee, Sang‐Hwa, Min Uk Jang, Jihoon Kang, et al.. (2018). Impact of Reducing the Procedure Time on Thromboembolism After Coil Embolization of Cerebral Aneurysms. Frontiers in Neurology. 9. 1125–1125. 13 indexed citations
12.
Kim, Na Young, et al.. (2017). Modeling Dynamic Behavior and Injection Characteristic of a GDI Injector. 22(4). 210–217. 1 indexed citations
13.
Heo, Young Jin, Hyun Suk Jung, Hye Jung Choo, et al.. (2017). Persistent trigeminal artery variant terminating in the posterior inferior cerebellar artery: a case report. Surgical and Radiologic Anatomy. 40(2). 237–240. 5 indexed citations
14.
Cho, Young Jun, et al.. (2015). SHC1 sensitizes cancer cells to the 8-Cl-cAMP treatment. Biochemical and Biophysical Research Communications. 463(4). 673–678. 8 indexed citations
15.
Cho, Young Jun, U. Joseph Schoepf, Justin R. Silverman, et al.. (2014). Iterative Image Reconstruction Techniques. Journal of Thoracic Imaging. 29(4). 198–208. 19 indexed citations
16.
Morris, Pamela B., U. Joseph Schoepf, James V. Spearman, et al.. (2014). Transient Ischemic Dilation of the Left Ventricle on SPECT: Correlation with Findings at Coronary CT Angiography. Journal of Nuclear Medicine. 55(6). 917–922. 18 indexed citations
17.
Schindler, Andreas, Rozemarijn Vliegenthart, U. Joseph Schoepf, et al.. (2013). Iterative Image Reconstruction Techniques for CT Coronary Artery Calcium Quantification: Comparison with Traditional Filtered Back Projection in Vitro and in Vivo. Radiology. 270(2). 387–393. 55 indexed citations
18.
Ebersberger, Ullrich, Roy Marcus, U. Joseph Schoepf, et al.. (2013). Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software. European Radiology. 24(1). 191–199. 32 indexed citations
19.
Hu, Hongtao, Ji Hoon Shin, Jae‐Yeon Hwang, et al.. (2009). Thoracic Aortic Stent-Graft Placement for Safe Removal of a Malpositioned Pedicle Screw. CardioVascular and Interventional Radiology. 33(5). 1040–1043. 13 indexed citations
20.
Kim, Won Ho, Young Jun Cho, Jeong Youp Park, et al.. (2000). Factors affecting insertion time and patient discomfort during colonoscopy. Gastrointestinal Endoscopy. 52(5). 600–605. 181 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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