Su Min Ha

1.5k total citations
59 papers, 924 citations indexed

About

Su Min Ha is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Su Min Ha has authored 59 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Pathology and Forensic Medicine and 16 papers in Cancer Research. Recurrent topics in Su Min Ha's work include Breast Lesions and Carcinomas (22 papers), MRI in cancer diagnosis (19 papers) and Breast Cancer Treatment Studies (16 papers). Su Min Ha is often cited by papers focused on Breast Lesions and Carcinomas (22 papers), MRI in cancer diagnosis (19 papers) and Breast Cancer Treatment Studies (16 papers). Su Min Ha collaborates with scholars based in South Korea, United States and Ethiopia. Su Min Ha's co-authors include Jung Min Chang, Woo Kyung Moon, Linda Moy, Jessica W. T. Leung, Jung Hwan Baek, Hee Jung Shin, Eun Young Chae, Woo Jung Choi, Hak Hee Kim and Soo‐Yeon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Su Min Ha

54 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su Min Ha South Korea	16	450	302	223	222	220	59	924
Nami Choi South Korea	15	349 0.8×	128 0.4×	154 0.7×	213 1.0×	145 0.7×	33	671
Ko Woon Park South Korea	14	411 0.9×	84 0.3×	63 0.3×	209 0.9×	220 1.0×	33	725
Lan Peng United States	12	137 0.3×	132 0.4×	71 0.3×	61 0.3×	137 0.6×	27	703
Loes Kooreman Netherlands	15	158 0.4×	202 0.7×	140 0.6×	22 0.1×	87 0.4×	52	558
Karin Leifland Sweden	19	292 0.6×	273 0.9×	309 1.4×	36 0.2×	46 0.2×	30	981
Rodney V. Pozderac United States	13	112 0.2×	157 0.5×	135 0.6×	62 0.3×	178 0.8×	35	732
Heung Kyu Park South Korea	12	116 0.3×	337 1.1×	135 0.6×	20 0.1×	88 0.4×	38	600
Antuono Latronico Italy	14	219 0.5×	231 0.8×	193 0.9×	10 0.0×	120 0.5×	42	577
Linda Hovanessian‐Larsen United States	13	439 1.0×	224 0.7×	269 1.2×	11 0.0×	46 0.2×	36	845

Countries citing papers authored by Su Min Ha

Since Specialization

Citations

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

Fields of papers citing papers by Su Min Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Min Ha

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

All Works

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20 of 20 papers shown

Ha, Su Min, Janie M. Lee, Myoung‐jin Jang, Hong Kyu Kim, & Jung Min Chang. (2025). Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy. Radiology. 315(1). e242955–e242955.

Ha, Su Min, et al.. (2025). Clinical Application of Artificial Intelligence in Breast MRI. PubMed. 86(2). 227–227.

Ha, Su Min, Woo Jung Choi, Boo‐Kyung Han, et al.. (2024). Assessment of Nonmass Lesions Detected with Screening Breast US Based on Mammographic Findings. Radiology. 313(2). e240043–e240043. 4 indexed citations

Ha, Su Min, Myoung‐jin Jang, Inyoung Youn, et al.. (2024). Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US. Radiology. 312(1). e233391–e233391. 7 indexed citations

Moon, Woo Kyung, et al.. (2024). Hemorrhagic Complications Following Ultrasound-Guided Breast Biopsy: A Prospective Patient-Centered Study. Korean Journal of Radiology. 25(2). 157–157. 5 indexed citations

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.

Kim, Soo‐Yeon, Yunhee Choi, Yeon Soo Kim, et al.. (2023). Use of imaging prediction model for omission of axillary surgery in early-stage breast cancer patients. Breast Cancer Research and Treatment. 199(3). 489–499. 1 indexed citations

Ha, Su Min, Su Hyun Lee, Soo‐Yeon Kim, et al.. (2022). Ipsilateral Lymphadenopathy After COVID-19 Vaccination in Patients With Newly Diagnosed Breast Cancer. Journal of Breast Cancer. 25(2). 131–131. 2 indexed citations

Kim, Yeon Soo, Myoung‐jin Jang, Su Hyun Lee, et al.. (2022). Use of Artificial Intelligence for Reducing Unnecessary Recalls at Screening Mammography: A Simulation Study. Korean Journal of Radiology. 23(12). 1241–1241. 14 indexed citations

10.

Kim, Soo‐Yeon, Nariya Cho, Hyunsook Hong, et al.. (2022). Abbreviated Screening MRI for Women with a History of Breast Cancer: Comparison with Full-Protocol Breast MRI. Radiology. 305(1). 36–45. 24 indexed citations

11.

Lee, Su Hyun, Myoung‐jin Jang, Youkyoung Lee, et al.. (2022). Background Parenchymal Enhancement at Postoperative Surveillance Breast MRI: Association with Future Second Breast Cancer Risk. Radiology. 306(1). 90–99. 13 indexed citations

12.

Kim, Eun Sil, Nariya Cho, Soo‐Yeon Kim, et al.. (2022). Added value of ultrafast sequence in abbreviated breast MRI surveillance in women with a personal history of breast cancer: A multireader study. European Journal of Radiology. 151. 110322–110322. 9 indexed citations

13.

Ha, Su Min, Jung Min Chang, Su Hyun Lee, et al.. (2021). Detection of Contralateral Breast Cancer Using Diffusion-Weighted Magnetic Resonance Imaging in Women with Newly Diagnosed Breast Cancer: Comparison with Combined Mammography and Whole-Breast Ultrasound. Korean Journal of Radiology. 22(6). 867–867. 8 indexed citations

14.

Kim, Eun Sil, Nariya Cho, Soo‐Yeon Kim, et al.. (2020). Comparison of Abbreviated MRI and Full Diagnostic MRI in Distinguishing between Benign and Malignant Lesions Detected by Breast MRI: A Multireader Study. Korean Journal of Radiology. 22(3). 297–297. 14 indexed citations

15.

Kim, Soo‐Yeon, Nariya Cho, Yunhee Choi, et al.. (2020). Supplemental Breast US Screening in Women with a Personal History of Breast Cancer: A Matched Cohort Study. Radiology. 295(1). 54–63. 15 indexed citations

16.

Ha, Su Min, Eun Young Chae, Joo Hee, et al.. (2019). Long-term survival outcomes in invasive lobular carcinoma patients with and without preoperative MR imaging: a matched cohort study. European Radiology. 29(5). 2526–2534. 10 indexed citations

17.

Ha, Su Min, Yun Jae Chung, Hye Shin Ahn, Jung Hwan Baek, & Sung Bin Park. (2019). Echogenic foci in thyroid nodules: diagnostic performance with combination of TIRADS and echogenic foci. BMC Medical Imaging. 19(1). 28–28. 15 indexed citations

18.

Ha, Su Min, et al.. (2018). Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation. BMC Medical Imaging. 18(1). 39–39. 19 indexed citations

19.

Ha, Su Min, Hye Shin Ahn, Jung Hwan Baek, et al.. (2017). Validation of Three Scoring Risk-Stratification Models for Thyroid Nodules. Thyroid. 27(12). 1550–1557. 28 indexed citations

20.

Ha, Su Min, Tae Yong Kim, & Jung Hwan Baek. (2017). Detection of Malignancy Among Suspicious Thyroid Nodules <1 cm on Ultrasound with Various Thyroid Image Reporting and Data Systems. Thyroid. 27(10). 1307–1315. 25 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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