Sung Min Ko

1.9k total citations
92 papers, 1.4k citations indexed

About

Sung Min Ko is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Sung Min Ko has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Cardiology and Cardiovascular Medicine and 26 papers in Biomedical Engineering. Recurrent topics in Sung Min Ko's work include Cardiac Imaging and Diagnostics (43 papers), Advanced X-ray and CT Imaging (24 papers) and Advanced MRI Techniques and Applications (20 papers). Sung Min Ko is often cited by papers focused on Cardiac Imaging and Diagnostics (43 papers), Advanced X-ray and CT Imaging (24 papers) and Advanced MRI Techniques and Applications (20 papers). Sung Min Ko collaborates with scholars based in South Korea, United States and Japan. Sung Min Ko's co-authors include Meong Gun Song, Je Kyoun Shin, Hweung Kon Hwang, Jwa‐Min Nam, Jin Woo Choi, Minho Kim, Hyun Woo Chung, Hyun Keun Chee, Dong Hun Kim and Na Ra Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Sung Min Ko

81 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Min Ko South Korea 20 550 465 335 321 252 92 1.4k
Río Aguilar Spain 19 184 0.3× 313 0.7× 549 1.6× 287 0.9× 189 0.8× 70 1.2k
Song Luo China 21 556 1.0× 511 1.1× 73 0.2× 218 0.7× 91 0.4× 51 1.3k
Ji Won Lee South Korea 22 509 0.9× 309 0.7× 187 0.6× 444 1.4× 147 0.6× 94 1.5k
Aravind Arepally United States 27 353 0.6× 386 0.8× 155 0.5× 356 1.1× 1.1k 4.5× 84 2.2k
Hiroyuki Kawata Japan 31 382 0.7× 238 0.5× 744 2.2× 311 1.0× 602 2.4× 99 2.4k
Stefan Büchner Germany 23 218 0.4× 77 0.2× 780 2.3× 323 1.0× 191 0.8× 77 1.5k
Daisuke Murakami Japan 27 515 0.9× 404 0.9× 428 1.3× 944 2.9× 1.7k 6.6× 106 2.7k
Wei-Jen Shih United States 19 391 0.7× 414 0.9× 209 0.6× 355 1.1× 273 1.1× 171 1.4k
Masanori Okumura Japan 9 776 1.4× 237 0.5× 418 1.2× 278 0.9× 654 2.6× 14 1.3k
Yu Sato United States 21 187 0.3× 94 0.2× 560 1.7× 318 1.0× 507 2.0× 124 1.9k

Countries citing papers authored by Sung Min Ko

Since Specialization
Citations

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

Fields of papers citing papers by Sung Min Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Min Ko. 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 Sung Min Ko. The network helps show where Sung Min Ko may publish in the future.

Co-authorship network of co-authors of Sung Min Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Min Ko. A scholar is included among the top collaborators of Sung Min Ko 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 Sung Min Ko. Sung Min Ko 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.
2.
Kim, Cherry, Chul Hwan Park, Eun‐Ju Kang, et al.. (2024). 2024 Consensus Statement on Coronary Stenosis and Plaque Evaluation in CT Angiography From the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT). Korean Journal of Radiology. 25(4). 331–331. 2 indexed citations
3.
Lim, Jun Hyeok, Hyun‐Tae Shin, Lucia Kim, et al.. (2024). Bronchial washing fluid sequencing is useful in the diagnosis of lung cancer with necrotic tumor. Translational Oncology. 50. 102134–102134.
4.
Kim, Young In, Jung‐Hee Lee, Young Jun Park, et al.. (2024). Failed Thrombus Aspiration and Reduced Myocardial Perfusion in Patients With STEMI and Large Thrombus Burden. JACC: Cardiovascular Interventions. 17(19). 2216–2225. 2 indexed citations
5.
Kim, Hyunjung, et al.. (2024). A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms. British Journal of Radiology. 97(1160). 1492–1500. 2 indexed citations
6.
Ko, Sung Min, et al.. (2023). Computed Tomography and Magnetic Resonance Imaging Findings of Bicuspid Aortic Valve and Related Abnormalities of the Heart and Thoracic Aorta. Korean Journal of Radiology. 24(10). 960–960. 1 indexed citations
7.
Zhang, Yu, Bo Hwa Choi, Hyun Keun Chee, Jun Seok Kim, & Sung Min Ko. (2023). Aortic Valve Dysfunction and Aortopathy Based on the Presence of Raphe in Patients with Bicuspid Aortic Valve Disease. Journal of Cardiovascular Development and Disease. 10(9). 372–372.
8.
Shim, Hackjoon, et al.. (2023). Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies. Diagnostics. 13(11). 1862–1862. 2 indexed citations
9.
Ko, Sung Min, et al.. (2023). Pre-navigation balloon technique: Distal emboli protection during stent retriever thrombectomy. Clinical Neurology and Neurosurgery. 236. 108057–108057.
10.
11.
Choi, Bo Hwa, Sung Min Ko, Je Kyoun Shin, Hyun Keun Chee, & Jun Seok Kim. (2021). The Association between Morphological and Functional Characteristics of the Bicuspid Aortic Valve and Bicuspid Aortopathy. Korean Journal of Radiology. 22(6). 890–890. 2 indexed citations
12.
Ko, Sung Min, Soong June Bae, Su Jung Baik, et al.. (2021). Body mass index and absolute lymphocyte count predict disease-free survival in Korean breast cancer patients. British Journal of Cancer. 125(1). 119–125. 14 indexed citations
13.
Kim, Song Soo, Sung Min Ko, Sang Il Choi, Bo Hwa Choi, & Arthur E. Stillman. (2016). Sudden cardiac death from structural heart diseases in adults: imaging findings with cardiovascular computed tomography and magnetic resonance. International journal of cardiac imaging. 32(S1). 21–43. 5 indexed citations
14.
Song, Inyoung, Jeong Geun Yi, J.H. Park, & Sung Min Ko. (2016). Indirect CT Venography at 80 kVp with Sinogram-Affirmed Iterative Reconstruction Compared to 120 kVp with Filtered Back Projection: Assessment of Image Quality and Radiation Dose. PLoS ONE. 11(9). e0163416–e0163416. 5 indexed citations
15.
Shin, Hong Ju, et al.. (2015). Characteristics of aortic valve dysfunction and ascending aorta dimensions according to bicuspid aortic valve morphology. European Radiology. 25(7). 2103–2114. 18 indexed citations
16.
Kim, Mi Young, Nami Choi, Sung Min Ko, & Hyun Woo Chung. (2014). Background uptake of breast-specific gamma imaging: correlation with mammographic breast density and background enhancement of breast MRI. Clinical Imaging. 38(3). 255–258. 7 indexed citations
17.
Ko, Sung Min, Meong Gun Song, & Hweung Kon Hwang. (2012). Evaluation of the aortic and mitral valves with cardiac computed tomography and cardiac magnetic resonance imaging. International journal of cardiac imaging. 28(S2). 109–127. 6 indexed citations
18.
19.
Ko, Sung Min, Joon Beom Seo, Myeong‐Ki Hong, et al.. (2006). Myocardial enhancement pattern in patients with acute myocardial infarction on two-phase contrast-enhanced ECG-gated multidetector-row computed tomography. Clinical Radiology. 61(5). 417–422. 26 indexed citations
20.
Ko, Sung Min, et al.. (1997). The Role of Mast Cell in Hyperlaxity of Conjunctiva.. Journal of the Korean Ophthalmological Society. 38(6). 949–955. 4 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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