Sung Eun Song

1.3k total citations
66 papers, 931 citations indexed

About

Sung Eun Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Sung Eun Song has authored 66 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pathology and Forensic Medicine and 22 papers in Cancer Research. Recurrent topics in Sung Eun Song's work include Breast Lesions and Carcinomas (19 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Breast Cancer Treatment Studies (19 papers). Sung Eun Song is often cited by papers focused on Breast Lesions and Carcinomas (19 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Breast Cancer Treatment Studies (19 papers). Sung Eun Song collaborates with scholars based in South Korea, Japan and United States. Sung Eun Song's co-authors include Bo Kyoung Seo, Kyu Ran Cho, Ok Hee Woo, Jaehyung Cha, Woo Kyung Moon, Gil Soo Son, Sung Ui Shin, Eun Kyung Park, Han Suk Ryu and Min Sun Bae and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Scientific Reports.

In The Last Decade

Sung Eun Song

59 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung Eun Song South Korea	19	490	244	238	181	146	66	931
Mijung Jang South Korea	19	597 1.2×	424 1.7×	255 1.1×	244 1.3×	112 0.8×	74	1.1k
Bo La Yun South Korea	20	677 1.4×	432 1.8×	235 1.0×	275 1.5×	260 1.8×	73	1.3k
Markus Hahn Germany	18	476 1.0×	511 2.1×	439 1.8×	210 1.2×	198 1.4×	62	1.1k
Woo Jung Choi South Korea	22	802 1.6×	359 1.5×	423 1.8×	236 1.3×	202 1.4×	106	1.3k
Luca Nicosia Italy	17	415 0.8×	106 0.4×	118 0.5×	212 1.2×	223 1.5×	82	891
Mirinae Seo South Korea	18	671 1.4×	215 0.9×	277 1.2×	265 1.5×	210 1.4×	44	1.1k
Pierluigi Rinaldi Italy	16	457 0.9×	199 0.8×	163 0.7×	89 0.5×	114 0.8×	46	992
Dianne Georgian-Smith United States	20	512 1.0×	595 2.4×	464 1.9×	202 1.1×	137 0.9×	31	1.1k
Seon Hyeong Choi South Korea	21	327 0.7×	178 0.7×	202 0.8×	99 0.5×	232 1.6×	49	1.1k
F. Degenhardt Germany	15	576 1.2×	310 1.3×	209 0.9×	215 1.2×	113 0.8×	46	958

Countries citing papers authored by Sung Eun Song

Since Specialization

Citations

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

Fields of papers citing papers by Sung Eun Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Eun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Eun Song. A scholar is included among the top collaborators of Sung Eun Song 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 Eun Song. Sung Eun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Woo, Ok Hee, et al.. (2025). Invasive Breast Cancers Missed by AI Screening of Mammograms. Radiology. 315(3). e242408–e242408.

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

Ham, Sungwon, Bo Kyoung Seo, Jang‐Ming Lee, et al.. (2025). Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study. La radiologia medica. 130(3). 368–380.

Park, Eun Kyung, et al.. (2025). Diagnostic performance of shear-wave dispersion imaging and shear-wave elastography for differentiating benign and malignant breast masses. European Radiology.

Park, Vivian Youngjean, Hee Jung Shin, Bong Joo Kang, et al.. (2023). Diffusion-Weighted Magnetic Resonance Imaging for Preoperative Evaluation of Patients With Breast Cancer: Protocol of a Prospective, Multicenter, Observational Cohort Study. Journal of Breast Cancer. 26(3). 292–292.

Song, Sung Eun, Kyu Ran Cho, Yongwon Cho, et al.. (2023). Value of Breast MRI and Nomogram After Negative Axillary Ultrasound for Predicting Axillary Lymph Node Metastasis in Patients With Clinically T1-2 N0 Breast Cancer. Journal of Korean Medical Science. 38(34). e251–e251. 1 indexed citations

Song, Sung Eun, Ok Hee Woo, Yongwon Cho, et al.. (2023). Prediction of Axillary Lymph Node Metastasis in Early-stage Triple-Negative Breast Cancer Using Multiparametric and Radiomic Features of Breast MRI. Academic Radiology. 30. S25–S37. 9 indexed citations

Cho, Kyu Ran, et al.. (2023). Tumor Heterogeneity of Breast Cancer Assessed with Computed Tomography Texture Analysis: Association with Disease-Free Survival and Clinicopathological Prognostic Factor. Diagnostics. 13(23). 3569–3569. 2 indexed citations

Shin, Jiwon, et al.. (2022). Diagnostic Performance of Digital Breast Tomosynthesis with the Two-Dimensional Synthesized Mammogram for Suspicious Breast Microcalcifications Compared to Full-Field Digital Mammography in Stereotactic Breast Biopsy. SHILAP Revista de lepidopterología. 83(5). 1090–1090. 1 indexed citations

10.

Woo, Ok Hee, et al.. (2021). Assessment of Additional MRI-Detected Breast Lesions Using the Quantitative Analysis of Contrast-Enhanced Ultrasound Scans and Its Comparability with Dynamic Contrast-Enhanced MRI Findings of the Breast. SHILAP Revista de lepidopterología. 82(4). 889–889. 1 indexed citations

11.

Cho, Kyu Ran, et al.. (2021). Mammographic, Sonographic, and MRI Features of Primary Neuroendocrine Carcinoma of the Breast: A Case Report. SHILAP Revista de lepidopterología. 82(3). 737–737. 2 indexed citations

12.

Cho, Kyu Ran, et al.. (2021). Progressive Transformation of Germinal Centers in Axillary Lymph Nodes Mimicking Metastatic Lymphadenopathy after Breast Cancer Surgery: A Case Report. SHILAP Revista de lepidopterología. 82(2). 423–423.

13.

Song, Sung Eun, Ok Hee Woo, Kyu Ran Cho, et al.. (2020). Simultaneous Multislice Readout‐Segmented Echo Planar Imaging for Diffusion‐Weighted MRI in Patients With Invasive Breast Cancers. Journal of Magnetic Resonance Imaging. 53(4). 1108–1115. 21 indexed citations

14.

Park, Ah Young, Kyong Hwa Park, Jung‐Sun Kim, et al.. (2020). Radiogenomic Analysis of Breast Cancer by Using B-Mode and Vascular US and RNA Sequencing. Radiology. 295(1). 24–34. 20 indexed citations

15.

Seo, Bo Kyoung, Eun Kyung Park, Hoiseon Jeong, et al.. (2020). Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancer. Cancer Imaging. 20(1). 85–85. 43 indexed citations

16.

Song, Sung Eun, Kyu Ran Cho, Bo Kyoung Seo, et al.. (2019). Kinetic Features of Invasive Breast Cancers on Computer-Aided Diagnosis Using 3T MRI Data: Correlation with Clinical and Pathologic Prognostic Factors. Korean Journal of Radiology. 20(3). 411–411. 8 indexed citations

17.

Park, Ah Young, Ok Hee Woo, Kyu Ran Cho, et al.. (2019). A Prospective Study on the Value of Ultrasound Microflow Assessment to Distinguish Malignant from Benign Solid Breast Masses: Association between Ultrasound Parameters and Histologic Microvessel Densities. Korean Journal of Radiology. 20(5). 759–759. 65 indexed citations

18.

Kim, Eun Sil, Bo Kyoung Seo, Eun Kyung Park, et al.. (2018). Significance of microvascular evaluation of ductal lesions on breast ultrasonography: Influence on diagnostic performance. Clinical Imaging. 51. 252–259. 11 indexed citations

19.

Song, Sung Eun, Bo Kyoung Seo, Kyu Ran Cho, et al.. (2015). Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers: preliminary study. Cancer Imaging. 15(1). 1–1. 44 indexed citations

20.

Song, Sung Eun, et al.. (2011). A Prospective Study about Abnormal Ductal Dilatations without Associated Masses on Breast US. Academic Radiology. 19(3). 296–302. 7 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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