Eun Sook Ko

3.5k total citations
99 papers, 2.4k citations indexed

About

Eun Sook Ko is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Eun Sook Ko has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 39 papers in Pathology and Forensic Medicine and 29 papers in Cancer Research. Recurrent topics in Eun Sook Ko's work include MRI in cancer diagnosis (43 papers), Breast Lesions and Carcinomas (39 papers) and Radiomics and Machine Learning in Medical Imaging (36 papers). Eun Sook Ko is often cited by papers focused on MRI in cancer diagnosis (43 papers), Breast Lesions and Carcinomas (39 papers) and Radiomics and Machine Learning in Medical Imaging (36 papers). Eun Sook Ko collaborates with scholars based in South Korea, United States and Ethiopia. Eun Sook Ko's co-authors include Boo‐Kyung Han, Eun Young Ko, Soo Yeon Hahn, Ji Soo Choi, Jung Hee Shin, Seok Jin Nam, Yaeji Lim, Hyunjin Park, Jeong Eon Lee and Byung Hee Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Eun Sook Ko

91 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun Sook Ko South Korea 29 1.7k 664 613 544 388 99 2.4k
Bong Joo Kang South Korea 27 1.3k 0.8× 536 0.8× 614 1.0× 527 1.0× 380 1.0× 116 2.2k
Woo Jung Choi South Korea 22 802 0.5× 423 0.6× 359 0.6× 236 0.4× 202 0.5× 106 1.3k
Başak E. Doğan United States 24 1.3k 0.8× 1.2k 1.8× 1.1k 1.7× 356 0.7× 336 0.9× 115 2.8k
Yajia Gu China 26 1.3k 0.8× 292 0.4× 293 0.5× 303 0.6× 327 0.8× 129 1.9k
Mirinae Seo South Korea 18 671 0.4× 277 0.4× 215 0.4× 265 0.5× 210 0.5× 44 1.1k
Joo Hee South Korea 29 1.5k 0.9× 708 1.1× 899 1.5× 721 1.3× 579 1.5× 138 2.5k
C. Balu–Maestro France 15 927 0.6× 466 0.7× 401 0.7× 116 0.2× 268 0.7× 54 1.8k
Radu A. Manoliu Netherlands 14 784 0.5× 448 0.7× 609 1.0× 122 0.2× 221 0.6× 29 1.9k
Soo Yeon Hahn South Korea 29 918 0.5× 242 0.4× 348 0.6× 272 0.5× 275 0.7× 99 2.5k
Jonathan J. James United Kingdom 23 613 0.4× 532 0.8× 432 0.7× 522 1.0× 636 1.6× 67 1.8k

Countries citing papers authored by Eun Sook Ko

Since Specialization
Citations

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

Fields of papers citing papers by Eun Sook Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Sook Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Sook Ko. A scholar is included among the top collaborators of Eun Sook 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 Eun Sook Ko. Eun Sook 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.
Park, Minsu, Jeong Eon Lee, Jonghan Yu, et al.. (2025). Surveillance Outcomes by Imaging Methods in the First 5 Years After Breast Cancer Surgery. Korean Journal of Radiology. 26(6). 532–532.
2.
Kataoka, Masako, Maya Honda, Mami Iima, et al.. (2025). Quantitative MR Imaging of the Breast. Magnetic Resonance in Medical Sciences. 24(3). n/a–n/a. 1 indexed citations
3.
4.
Ko, Eun Young, Boo‐Kyung Han, Eun Sook Ko, et al.. (2023). Feasibility of Ultrasound-Guided Localization for Clipped Metastatic Axillary Lymph Nodes After Neoadjuvant Chemotherapy in Breast Cancer Patients: A Pilot Study. Journal of Breast Cancer. 26(1). 77–77. 1 indexed citations
5.
Kwon, Mi-ri, Ji Soo Choi, Mi Yeon Lee, et al.. (2023). Screening Outcomes of Supplemental Automated Breast US in Asian Women with Dense and Nondense Breasts. Radiology. 307(4). e222435–e222435. 9 indexed citations
6.
Woo, Ok Hee, Eun Young Ko, Boo‐Kyung Han, et al.. (2023). Analysis of Prognoses according to Breast MRI Results in Patients with Axillary Lymph Node Metastases from an Unknown Primary Origin. Yonsei Medical Journal. 64(10). 633–633. 1 indexed citations
7.
Kwon, Mi-ri, Eun Sook Ko, Woo Kyoung Jeong, et al.. (2022). Impact of Skeletal Muscle Loss and Visceral Obesity Measured Using Serial CT on the Prognosis of Operable Breast Cancers in Asian Patients. Korean Journal of Radiology. 23(2). 159–159. 10 indexed citations
8.
Choi, Ji Soo, Eun Young Ko, Min‐Ji Kim, Eun Sook Ko, & Boo‐Kyung Han. (2022). Combined use of shear-wave elastography and Doppler ultrasonography in equivocal fibroepithelial lesions of the breast diagnosed by core needle biopsy. ULTRASONOGRAPHY. 42(1). 31–40. 3 indexed citations
9.
Ko, Min Jung, Dong Ah Park, Eun Sook Ko, et al.. (2021). Accuracy of Digital Breast Tomosynthesis for Detecting Breast Cancer in the Diagnostic Setting: A Systematic Review and Meta-Analysis. Korean Journal of Radiology. 22(8). 1240–1240. 13 indexed citations
10.
Park, Hyunjin, Yaeji Lim, Eun Sook Ko, et al.. (2018). Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer. Clinical Cancer Research. 24(19). 4705–4714. 189 indexed citations
11.
12.
Hahn, Soo Yeon, Eun Sook Ko, Boo‐Kyung Han, et al.. (2016). Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer. Medicine. 95(27). e4086–e4086. 21 indexed citations
13.
Ko, Eun Sook, Rock Bum Kim, Boo‐Kyung Han, et al.. (2015). Effect of menstrual cycle and menopausal status on apparent diffusion coefficient values and detectability of invasive ductal carcinoma on diffusion-weighted MRI. Breast Cancer Research and Treatment. 149(3). 751–759. 14 indexed citations
14.
Choi, Ji Soo, Boo‐Kyung Han, Eun Young Ko, et al.. (2015). Comparison between two-dimensional synthetic mammography reconstructed from digital breast tomosynthesis and full-field digital mammography for the detection of T1 breast cancer. European Radiology. 26(8). 2538–2546. 59 indexed citations
15.
Seo, Jeong-Meen, Eun Sook Ko, Boo‐Kyung Han, et al.. (2013). Automated volumetric breast density estimation: A comparison with visual assessment. Clinical Radiology. 68(7). 690–695. 45 indexed citations
16.
Lee, Mi Hee, Eun Young Ko, Boo‐Kyung Han, et al.. (2013). Sonographic findings of pure ductal carcinoma in situ. Journal of Clinical Ultrasound. 41(8). 465–471. 14 indexed citations
17.
Nam, Sang Yu, Eun Sook Ko, Boo‐Kyung Han, et al.. (2013). Ultrasonographic hyperechoic lesions of the breast: are they always benign?. Acta Radiologica. 56(1). 18–24. 6 indexed citations
18.
Ko, Eun Sook, Hye Young Choi, Rock Bum Kim, & Woo-Chul Noh. (2011). Application of sonoelastography: Comparison of performance between mass and non-mass lesion. European Journal of Radiology. 81(4). 731–736. 6 indexed citations
19.
Ko, Eun Sook, et al.. (2009). Noncalcified Ductal Carcinoma In Situ. Journal of Ultrasound in Medicine. 28(7). 903–910. 23 indexed citations
20.
Lee, Jee‐Young, Jin‐Suck Suh, Jae Boem Na, et al.. (2006). MR Imaging Findings of Acute Gouty Arthritis. Journal of the Korean Radiological Society. 55(2). 165–165. 1 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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