Mi-ri Kwon

536 total citations
27 papers, 351 citations indexed

About

Mi-ri Kwon is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Mi-ri Kwon has authored 27 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Oncology. Recurrent topics in Mi-ri Kwon's work include Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (5 papers) and AI in cancer detection (5 papers). Mi-ri Kwon is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), MRI in cancer diagnosis (5 papers) and AI in cancer detection (5 papers). Mi-ri Kwon collaborates with scholars based in South Korea and United States. Mi-ri Kwon's co-authors include Jung Hee Shin, Soo Yeon Hahn, Ji Soo Choi, Boo‐Kyung Han, Eun Young Ko, Eun Sook Ko, Ko Woon Park, Hwan-ho Cho, Hyunjin Park and Jung Min Bae and has published in prestigious journals such as Cancer Research, Scientific Reports and Radiology.

In The Last Decade

Mi-ri Kwon

24 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mi-ri Kwon South Korea 10 219 136 93 53 51 27 351
Babita Panigrahi United States 10 156 0.7× 75 0.6× 45 0.5× 78 1.5× 55 1.1× 27 297
Qiyu Zhao China 10 200 0.9× 136 1.0× 63 0.7× 44 0.8× 11 0.2× 18 329
Yunxia Huang China 7 156 0.7× 41 0.3× 103 1.1× 20 0.4× 23 0.5× 13 208
Nassim Bouteldja Germany 11 148 0.7× 125 0.9× 21 0.2× 75 1.4× 14 0.3× 15 397
Lingyun Bao China 4 220 1.0× 189 1.4× 14 0.2× 36 0.7× 16 0.3× 7 285
Na Lae Eun South Korea 10 188 0.9× 51 0.4× 51 0.5× 18 0.3× 90 1.8× 33 345
Guanghe Cui China 10 128 0.6× 28 0.2× 40 0.4× 32 0.6× 30 0.6× 14 306
Haixiong Chen China 12 99 0.5× 34 0.3× 77 0.8× 21 0.4× 46 0.9× 21 293
Mikinao Oiwa Japan 9 64 0.3× 68 0.5× 71 0.8× 47 0.9× 62 1.2× 34 311

Countries citing papers authored by Mi-ri Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Mi-ri Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mi-ri Kwon. 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 Mi-ri Kwon. The network helps show where Mi-ri Kwon may publish in the future.

Co-authorship network of co-authors of Mi-ri Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Mi-ri Kwon. A scholar is included among the top collaborators of Mi-ri Kwon 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 Mi-ri Kwon. Mi-ri Kwon 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.
Laugeman, Eric, Mi-ri Kwon, Eric Morris, et al.. (2025). Minimizing Bowel Gas Artifact in Computed Tomography Guided Online Adaptive Radiation Therapy With Prolonged Supine Positioning. International Journal of Radiation Oncology*Biology*Physics. 122(3). 643–647.
2.
Kwon, Mi-ri, Ji‐Soo Park, Eunjung Ko, et al.. (2024). Ibulocydine Inhibits Migration and Invasion of TNBC Cells via MMP-9 Regulation. International Journal of Molecular Sciences. 25(11). 6123–6123.
3.
Cho, Yoosun, Eun Kyung Park, Yoosoo Chang, et al.. (2024). Concordant and discordant breast density patterns by different approaches for assessing breast density and breast cancer risk. Breast Cancer Research and Treatment. 210(1). 105–114. 1 indexed citations
4.
Kwon, Mi-ri, Yoosoo Chang, Soo‐Youn Ham, et al.. (2024). Screening mammography performance according to breast density: a comparison between radiologists versus standalone intelligence detection. Breast Cancer Research. 26(1). 68–68. 7 indexed citations
5.
Kwon, Mi-ri, et al.. (2024). Correlation of shear-wave elastography stiffness and apparent diffusion coefficient values with tumor characteristics in breast cancer. Scientific Reports. 14(1). 7180–7180. 2 indexed citations
6.
Park, Jin Hyoung, et al.. (2024). Abstract LB279: The combination therapy with B7-H3 antibody drug conjugates for effective radiation treatment. Cancer Research. 84(7_Supplement). LB279–LB279. 1 indexed citations
7.
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
8.
Chang, Yoosoo, et al.. (2023). Mammography-based deep learning model for coronary artery calcification. European Heart Journal - Cardiovascular Imaging. 25(4). 456–466. 3 indexed citations
9.
Kwon, Mi-ri, Inyoung Youn, Mi Yeon Lee, & Hyunah Lee. (2023). Diagnostic Performance of Artificial Intelligence–Based Computer-Aided Detection Software for Automated Breast Ultrasound. Academic Radiology. 31(2). 480–491. 6 indexed citations
10.
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
11.
12.
Kwon, Mi-ri, Yoosoo Chang, Boyoung Park, Seungho Ryu, & Shin Ho Kook. (2022). Performance analysis of screening mammography in Asian women under 40 years. Breast Cancer. 30(2). 241–248. 3 indexed citations
13.
Kwon, Mi-ri, Ji Soo Choi, Eun Young Ko, et al.. (2021). Breast Cancer Screening with Abbreviated Breast MRI: 3-year Outcome Analysis. Radiology. 299(1). 73–83. 29 indexed citations
14.
Youn, Inyoung, Eunjung Lee, Jung Hyun Yoon, et al.. (2021). Diagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network. Scientific Reports. 11(1). 20048–20048. 6 indexed citations
15.
Park, Ko Woon, Min‐Ji Kim, Boo‐Kyung Han, et al.. (2020). Non-mass lesions detected by breast US: stratification of cancer risk for clinical management. European Radiology. 31(3). 1693–1706. 25 indexed citations
16.
Koh, Jieun, Eunjung Lee, Kyunghwa Han, et al.. (2020). Diagnosis of thyroid nodules on ultrasonography by a deep convolutional neural network. Scientific Reports. 10(1). 15245–15245. 44 indexed citations
17.
Kwon, Mi-ri, Jung Hee Shin, Hyunjin Park, et al.. (2020). Radiomics Study of Thyroid Ultrasound for Predicting BRAF Mutation in Papillary Thyroid Carcinoma: Preliminary Results. American Journal of Neuroradiology. 41(4). 700–705. 40 indexed citations
18.
Kwon, Mi-ri, Sang‐Hee Choi, Kee‐Taek Jang, et al.. (2019). Acral malignant melanoma; emphasis on the primary metastasis and the usefulness of preoperative ultrasound for sentinel lymph node metastasis. Scientific Reports. 9(1). 15894–15894. 3 indexed citations
19.
Kwon, Mi-ri, Jung Hee Shin, Soo Yeon Hahn, et al.. (2018). Histogram analysis of greyscale sonograms to differentiate between the subtypes of follicular variant of papillary thyroid cancer. Clinical Radiology. 73(6). 591.e1–591.e7. 17 indexed citations
20.
Hwang, In Gyu, et al.. (2014). Adjuvant chemotherapy in elderly patients with colon cancer: A single-center study in Korea. Journal of Geriatric Oncology. 5. S10–S11.

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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