Min Sun Bae

2.3k total citations
56 papers, 1.8k citations indexed

About

Min Sun Bae is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Min Sun Bae has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Cancer Research and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Min Sun Bae's work include Breast Cancer Treatment Studies (22 papers), AI in cancer detection (17 papers) and Breast Lesions and Carcinomas (17 papers). Min Sun Bae is often cited by papers focused on Breast Cancer Treatment Studies (22 papers), AI in cancer detection (17 papers) and Breast Lesions and Carcinomas (17 papers). Min Sun Bae collaborates with scholars based in South Korea, United States and Taiwan. Min Sun Bae's co-authors include Woo Kyung Moon, Nariya Cho, Jung Min Chang, Won Hwa Kim, Su Hyun Lee, Hye Ryoung Koo, Mirinae Seo, Ann Yi, Ruey‐Feng Chang and Wonshik Han and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Min Sun Bae

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Sun Bae South Korea 22 1.2k 562 503 391 384 56 1.8k
Won Hwa Kim South Korea 23 1.2k 1.0× 457 0.8× 492 1.0× 441 1.1× 405 1.1× 90 1.8k
Bong Joo Kang South Korea 27 1.3k 1.1× 527 0.9× 536 1.1× 614 1.6× 246 0.6× 116 2.2k
Joo Hee South Korea 29 1.5k 1.3× 721 1.3× 708 1.4× 899 2.3× 310 0.8× 138 2.5k
Hye Ryoung Koo South Korea 24 1.4k 1.2× 389 0.7× 372 0.7× 431 1.1× 749 2.0× 55 2.1k
Dana H. Whaley United States 18 703 0.6× 444 0.8× 171 0.3× 144 0.4× 262 0.7× 43 1.2k
Seung Ja Kim South Korea 20 1.0k 0.9× 272 0.5× 240 0.5× 410 1.0× 644 1.7× 39 1.5k
Hye Mi Gweon South Korea 23 1.1k 0.9× 339 0.6× 261 0.5× 266 0.7× 559 1.5× 55 1.6k
Bhavika Patel United States 21 945 0.8× 561 1.0× 534 1.1× 311 0.8× 200 0.5× 93 1.8k
Woo Kyung Moon South Korea 22 974 0.8× 677 1.2× 169 0.3× 227 0.6× 458 1.2× 33 1.7k
Fabienne Thibault France 22 982 0.8× 283 0.5× 386 0.8× 464 1.2× 237 0.6× 51 1.5k

Countries citing papers authored by Min Sun Bae

Since Specialization
Citations

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

Fields of papers citing papers by Min Sun Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Sun Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Min Sun Bae. A scholar is included among the top collaborators of Min Sun Bae 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 Min Sun Bae. Min Sun Bae 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.
Song, Sung Eun, Kyu Ran Cho, Min Sun Bae, et al.. (2025). Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis. Korean Journal of Radiology. 26(3). 217–217. 2 indexed citations
2.
3.
Kim, Hyug‐Gi, et al.. (2023). Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women. Diagnostics. 13(13). 2247–2247. 9 indexed citations
4.
Bae, Min Sun, et al.. (2023). Clinical applications of shear wave dispersion imaging for breast lesions: a pictorial essay. ULTRASONOGRAPHY. 42(4). 589–599. 2 indexed citations
5.
Zhang, Michelle, Meredith Sadinski, Dana Haddad, et al.. (2021). Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score. Frontiers in Oncology. 10. 595820–595820. 12 indexed citations
6.
Bae, Min Sun, Blanca Bernard‐Davila, Janice S. Sung, & Elizabeth A. Morris. (2019). Preoperative breast MRI features associated with positive or close margins in breast-conserving surgery. European Journal of Radiology. 117. 171–177. 6 indexed citations
7.
Kim, Won Hwa, Jung Min Chang, Joongyub Lee, et al.. (2017). Diagnostic performance of tomosynthesis and breast ultrasonography in women with dense breasts: a prospective comparison study. Breast Cancer Research and Treatment. 162(1). 85–94. 29 indexed citations
8.
Bae, Min Sun, Sung Ui Shin, Han Suk Ryu, et al.. (2016). Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival. Radiology. 281(2). 392–400. 104 indexed citations
9.
Chang, Ruey‐Feng, Chung‐Ming Lo, Chiun‐Sheng Huang, et al.. (2015). Quantitative analysis of breast echotexture patterns in automated breast ultrasound images. Medical Physics. 42(8). 4566–4578. 11 indexed citations
10.
Bae, Min Sun, Mirinae Seo, Kwang Gi Kim, In-Ae Park, & Woo Kyung Moon. (2014). Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes. Acta Radiologica. 56(3). 269–275. 52 indexed citations
11.
Lee, Su Hyun, Jung Min Chang, Won Hwa Kim, et al.. (2014). Added Value of Shear-Wave Elastography for Evaluation of Breast Masses Detected with Screening US Imaging. Radiology. 273(1). 61–69. 97 indexed citations
12.
13.
Chang, Jung Min, In Ae Park, Su Hyun Lee, et al.. (2013). Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer. European Radiology. 23(9). 2450–2458. 144 indexed citations
14.
Bae, Min Sun, Woo Kyung Moon, Jung Min Chang, et al.. (2013). Mammographic features of calcifications in DCIS: correlation with oestrogen receptor and human epidermal growth factor receptor 2 status. European Radiology. 23(8). 2072–2078. 25 indexed citations
15.
Bae, Min Sun, Woo Kyung Moon, Jung Min Chang, et al.. (2013). Breast Cancer Detected with Screening US: Reasons for Nondetection at Mammography. Radiology. 270(2). 369–377. 127 indexed citations
16.
Yi, Ann, Woo Kyung Moon, Nariya Cho, et al.. (2013). Association of Tumour Stiffness on Sonoelastography with Axillary Nodal Status in T1 Breast Carcinoma Patients. European Radiology. 23(11). 2979–2987. 20 indexed citations
17.
Lee, Su Hyun, Nariya Cho, Jung Min Chang, et al.. (2013). Two-View versus Single-View Shear-Wave Elastography: Comparison of Observer Performance in Differentiating Benign from Malignant Breast Masses. Radiology. 270(2). 344–353. 44 indexed citations
18.
Lee, Su Hyun, Jung Min Chang, Won Hwa Kim, et al.. (2012). Differentiation of benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional shear-wave elastography. European Radiology. 23(4). 1015–1026. 96 indexed citations
19.
Bae, Min Sun, Wonshik Han, Hye Ryoung Koo, et al.. (2011). Characteristics of breast cancers detected by ultrasound screening in women with negative mammograms. Cancer Science. 102(10). 1862–1867. 41 indexed citations
20.
Bae, Min Sun, et al.. (2009). Effect of intravenous gadolinium-DTPA on diffusion tensor MR imaging for the evaluation of brain tumors. Neuroradiology. 51(12). 793–802. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Won Hwa Kim Breakdown of academic impact, for papers by Bong Joo Kang Breakdown of academic impact, for papers by Joo Hee Breakdown of academic impact, for papers by Hye Ryoung Koo Breakdown of academic impact, for papers by Dana H. Whaley Breakdown of academic impact, for papers by Seung Ja Kim Breakdown of academic impact, for papers by Hye Mi Gweon Breakdown of academic impact, for papers by Bhavika Patel Breakdown of academic impact, for papers by Woo Kyung Moon Breakdown of academic impact, for papers by Fabienne Thibault
Rankless by CCL
2026