Min A Yoon

752 total citations
42 papers, 518 citations indexed

About

Min A Yoon is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Min A Yoon has authored 42 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Min A Yoon's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Sarcoma Diagnosis and Treatment (8 papers) and Bone and Joint Diseases (6 papers). Min A Yoon is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Sarcoma Diagnosis and Treatment (8 papers) and Bone and Joint Diseases (6 papers). Min A Yoon collaborates with scholars based in South Korea, United States and Ethiopia. Min A Yoon's co-authors include Suk‐Joo Hong, Hye Won Chung, Choong Guen Chee, Chang Ho Kang, Baek Hyun Kim, Min Hee Lee, Kyung‐Sik Ahn, Joon Koo Han, Jeong Min Lee and Se Hyung Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Min A Yoon

42 papers receiving 512 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 A Yoon South Korea 16 174 170 130 120 90 42 518
Eric Weinberg United States 11 137 0.8× 331 1.9× 81 0.6× 153 1.3× 202 2.2× 26 687
Onur Tutar Türkiye 9 173 1.0× 212 1.2× 38 0.3× 89 0.7× 79 0.9× 42 457
Jianqun Yu China 15 281 1.6× 172 1.0× 144 1.1× 18 0.1× 188 2.1× 55 664
Ulrich Grosse Germany 16 290 1.7× 226 1.3× 155 1.2× 192 1.6× 152 1.7× 58 718
M. Keßler Germany 11 95 0.5× 476 2.8× 112 0.9× 234 1.9× 42 0.5× 36 696
Thomas Kirchgesner Belgium 12 86 0.5× 155 0.9× 36 0.3× 136 1.1× 72 0.8× 45 423
Vitali Koch Germany 12 262 1.5× 122 0.7× 300 2.3× 44 0.4× 73 0.8× 85 539
Soo Buem Cho South Korea 12 179 1.0× 165 1.0× 73 0.6× 19 0.2× 136 1.5× 51 537
Sian Iles Canada 10 96 0.6× 99 0.6× 64 0.5× 27 0.2× 83 0.9× 28 346
RH Gold United States 13 95 0.5× 275 1.6× 62 0.5× 79 0.7× 105 1.2× 22 586

Countries citing papers authored by Min A Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Min A Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min A Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Min A Yoon. A scholar is included among the top collaborators of Min A Yoon 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 A Yoon. Min A Yoon 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.
Chee, Choong Guen, et al.. (2024). Vertebral Venous Congestion That May Mimic Vertebral Metastasis on Contrast-Enhanced Chest Computed Tomography in Chemoport Inserted Patients. Korean Journal of Radiology. 25(1). 62–62. 1 indexed citations
2.
Park, Sun-Young, Min A Yoon, Min Hee Lee, Sang Hoon Lee, & Hye Won Chung. (2024). Validation of American College of Radiology Bone Reporting and Data System (Bone-RADS) Version 2023 for diagnosis of malignant tumors of appendicular bone on conventional radiographs. European Journal of Radiology. 183. 111861–111861. 3 indexed citations
3.
Park, Ho Young, Hye Won Chung, Min A Yoon, et al.. (2024). Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance. Cancer Imaging. 24(1). 12–12. 1 indexed citations
4.
Lee, Min Hee, et al.. (2023). Ulnar neuropathy at the elbow: associations of pre-operative DTI parameters with clinical outcomes after cubital tunnel decompression. European Radiology. 33(9). 6351–6358. 3 indexed citations
5.
Yoon, Min A, Garry E. Gold, & Akshay Chaudhari. (2023). Accelerated Musculoskeletal Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging. 60(5). 1806–1822. 5 indexed citations
6.
Lee, Min Hee, Hwa Jung Kim, Wanlim Kim, et al.. (2023). Detecting residual soft tissue sarcoma after unplanned excision; model-free analysis of dynamic contrast-enhanced MRI at short-term follow-up. British Journal of Radiology. 96(1152). 20230410–20230410. 1 indexed citations
7.
Shin, Keewon, et al.. (2023). Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs. PLoS ONE. 18(5). e0285489–e0285489. 6 indexed citations
8.
Shin, Keewon, Seung‐Jin Yoo, Min A Yoon, et al.. (2022). Diagnosis of Scoliosis Using Chest Radiographs with a Semi-Supervised Generative Adversarial Network. Journal of the Korean Society of Radiology. 83(6). 1298–1298. 3 indexed citations
9.
Yoon, Min A, Young Chul Cho, Yousun Ko, et al.. (2022). Prediction of the Acuity of Vertebral Compression Fractures on CT Using Radiologic and Radiomic Features. Academic Radiology. 29(10). 1512–1520. 11 indexed citations
10.
11.
Chee, Choong Guen, Min A Yoon, Kyung Won Kim, et al.. (2021). Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT. European Radiology. 31(9). 6825–6834. 32 indexed citations
12.
13.
Yoon, Min A, Hye Jin Yoo, Choong Guen Chee, et al.. (2020). An MRI-based decision tree to distinguish lipomas and lipoma variants from well-differentiated liposarcoma of the extremity and superficial trunk: Classification and regression tree (CART) analysis. European Journal of Radiology. 127. 109012–109012. 25 indexed citations
14.
Lee, Koeun, Ho Young Park, Kyung Won Kim, et al.. (2019). Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imaging. Journal of Clinical Orthopaedics and Trauma. 10(4). 680–686. 17 indexed citations
15.
Yoon, Min A, Choong Guen Chee, Hye Won Chung, et al.. (2018). Added value of diffusion-weighted imaging to conventional MRI for predicting fascial involvement of soft tissue sarcomas. European Radiology. 29(4). 1863–1873. 13 indexed citations
16.
Park, Young Hwan, Min A Yoon, Wonseok Choi, et al.. (2017). The predictive value of MRI in the syndesmotic instability of ankle fracture. Skeletal Radiology. 47(4). 533–540. 20 indexed citations
17.
Hong, Suk‐Joo, Min A Yoon, Kyung‐Sik Ahn, et al.. (2016). Spinal Bone Bruise. Academic Radiology. 23(11). 1376–1383. 9 indexed citations
18.
Choi, Gi Won, et al.. (2016). The contribution of anterior deltoid ligament to ankle stability in isolated lateral malleolar fractures. Injury. 47(7). 1581–1585. 30 indexed citations
19.
Yoon, Min A, Suk‐Joo Hong, Chang Ho Kang, Kyung‐Sik Ahn, & Baek Hyun Kim. (2016). T1rho and T2 mapping of lumbar intervertebral disc: Correlation with degeneration and morphologic changes in different disc regions. Magnetic Resonance Imaging. 34(7). 932–939. 36 indexed citations
20.
Yoon, Min A, Se Hyung Kim, Hee Sun Park, et al.. (2009). Value of Dual Contrast Liver MRI at 3.0 T in Differentiating Well-Differentiated Hepatocellular Carcinomas From Dysplastic Nodules. Investigative Radiology. 44(10). 641–649. 13 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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