Min‐Ying Su

10.0k total citations · 3 hit papers
235 papers, 7.4k citations indexed

About

Min‐Ying Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Min‐Ying Su has authored 235 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Radiology, Nuclear Medicine and Imaging, 52 papers in Pulmonary and Respiratory Medicine and 32 papers in Artificial Intelligence. Recurrent topics in Min‐Ying Su's work include MRI in cancer diagnosis (96 papers), Radiomics and Machine Learning in Medical Imaging (62 papers) and Advanced MRI Techniques and Applications (40 papers). Min‐Ying Su is often cited by papers focused on MRI in cancer diagnosis (96 papers), Radiomics and Machine Learning in Medical Imaging (62 papers) and Advanced MRI Techniques and Applications (40 papers). Min‐Ying Su collaborates with scholars based in United States, Taiwan and China. Min‐Ying Su's co-authors include Orhan Nalcioğlu, Jeon‐Hor Chen, Hon J. Yu, Shadfar Bahri, Ke Nie, Rita S. Mehta, William R. Shankle, Arkadij M. Elizarov, Hartmuth C. Kolb and David Chien and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Min‐Ying Su

220 papers receiving 7.2k citations

Hit Papers

Early Clinical PET Imagin... 2013 2026 2017 2021 2013 2013 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Early Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F18]-T808
    2013 531 citations Shadfar Bahri, Min‐Ying Su et al. profile →
  2. Early Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F-18]-T807
    2013 497 citations Shadfar Bahri, Min‐Ying Su et al. profile →
  3. Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
    2018 325 citations Min‐Ying Su et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Min‐Ying Su 4.4k 1.1k 1.0k 892 891 235 7.4k
Michael Fulham 3.7k 0.9× 1.8k 1.6× 704 0.7× 512 0.6× 1.5k 1.6× 269 9.0k
Orhan Nalcioğlu 3.0k 0.7× 375 0.4× 329 0.3× 496 0.6× 512 0.6× 136 4.8k
Isabella Castiglioni 1.8k 0.4× 580 0.5× 474 0.5× 2.0k 2.3× 1.3k 1.5× 166 8.2k
Jiani Hu 2.5k 0.6× 392 0.4× 242 0.2× 383 0.4× 718 0.8× 307 7.9k
Elias R. Melhem 5.2k 1.2× 282 0.3× 390 0.4× 164 0.2× 785 0.9× 186 9.1k
Meng Law 6.4k 1.5× 137 0.1× 1.2k 1.2× 397 0.4× 964 1.1× 204 12.7k
Maria Carla Gilardi 3.3k 0.8× 232 0.2× 354 0.4× 270 0.3× 730 0.8× 210 6.2k
Ronald Boellaard 13.9k 3.2× 416 0.4× 1.8k 1.8× 777 0.9× 4.4k 4.9× 599 20.7k
Ganesh Rao 1.2k 0.3× 219 0.2× 457 0.5× 758 0.8× 1.3k 1.5× 193 6.7k
Michael V. Knopp 9.1k 2.1× 182 0.2× 251 0.2× 757 0.8× 2.4k 2.6× 358 14.0k

Countries citing papers authored by Min‐Ying Su

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Ying Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min‐Ying Su

This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Ying Su. A scholar is included among the top collaborators of Min‐Ying Su 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‐Ying Su. Min‐Ying Su 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.
Pan, Yue, Yanyan Yu, Shi Cheng, et al.. (2025). Stepped 2D array needle transducer for 4D ultrasound imaging-guided spinal puncture. The Innovation. 7(1). 101075–101075.
2.
Li, Tiantian, et al.. (2025). ε-Polylysine regulated nanofiltration membrane with high free volume for efficient separation of dye/salt. Journal of Membrane Science. 729. 124147–124147. 4 indexed citations
3.
4.
Zhang, Jiajing, Min‐Ying Su, Shuqi Dong, et al.. (2024). SiEPFs enhance water use efficiency and drought tolerance by regulating stomatal density in foxtail millet (Setaria italica). Journal of Integrative Agriculture. 2 indexed citations
5.
Zhou, Jiejie, Huiru Liu, Shuxin Ye, et al.. (2024). Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience. European Radiology. 35(1). 140–150. 4 indexed citations
6.
Zhang, Yang, et al.. (2024). Combination of Deep Learning Grad-CAM and Radiomics for Automatic Localization and Diagnosis of Architectural Distortion on DBT. Academic Radiology. 32(3). 1287–1296. 4 indexed citations
7.
8.
Wu, Te‐Chang, Jeon‐Hor Chen, Tai-Yuan Chen, et al.. (2023). Radiomics analysis for the prediction of locoregional recurrence of locally advanced oropharyngeal cancer and hypopharyngeal cancer. European Archives of Oto-Rhino-Laryngology. 281(3). 1473–1481. 2 indexed citations
9.
Zhang, Yang, Yi Liu, Ke Nie, et al.. (2023). Deep Learning-based Automatic Diagnosis of Breast Cancer on MRI Using Mask R-CNN for Detection Followed by ResNet50 for Classification. Academic Radiology. 30. S161–S171. 52 indexed citations
10.
Yeh, Lee‐Ren, Yang Zhang, Jeon‐Hor Chen, et al.. (2022). A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet. European Spine Journal. 31(8). 2022–2030. 36 indexed citations
11.
Su, Min‐Ying, et al.. (2021). Endotracheal, Endobronchial, and Vocal Cords Metastases From Lung Cancer Detected by 18F-FDG PET/CT. Clinical Nuclear Medicine. 46(3). 225–226. 4 indexed citations
12.
Chen, Jeon‐Hor, Yang Zhang, Si‐Wa Chan, Ruey‐Feng Chang, & Min‐Ying Su. (2018). Quantitative analysis of peri-tumor fat in different molecular subtypes of breast cancer. Magnetic Resonance Imaging. 53. 34–39. 9 indexed citations
13.
Choi, Yoon Jung, Jeon‐Hor Chen, Hon J. Yu, Yifan Li, & Min‐Ying Su. (2017). Impact of Different Analytic Approaches on the Analysis of the Breast Fibroglandular Tissue Using Diffusion Weighted Imaging. BioMed Research International. 2017. 1–11. 3 indexed citations
14.
Kim, Min Jung, Min‐Ying Su, Hon J. Yu, et al.. (2016). US-localized diffuse optical tomography in breast cancer: comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers. BMC Cancer. 16(1). 50–50. 7 indexed citations
15.
Su, Min‐Ying, Yanggang Yuan, Songming Huang, et al.. (2013). Mitochondrial dysfunction is an early event in aldosterone-induced podocyte injury. American Journal of Physiology-Renal Physiology. 305(4). F520–F531. 71 indexed citations
16.
17.
Chen, Jeon‐Hor, Shadfar Bahri, Rita S. Mehta, et al.. (2011). Breast Cancer: Evaluation of Response to Neoadjuvant Chemotherapy with 3.0-T MR Imaging. Radiology. 261(3). 735–743. 63 indexed citations
18.
Agrawal, Garima, Hon J. Yu, Philip M. Carpenter, et al.. (2007). MRI evaluation of pathologically complete response and residual tumors in breast cancer after neoadjuvant chemotherapy. Cancer. 112(1). 17–26. 143 indexed citations
19.
Tapp, P. Dwight, Christina T. Siwak, Fu Gao, et al.. (2004). Frontal Lobe Volume, Function, and β-Amyloid Pathology in a Canine Model of Aging. Journal of Neuroscience. 24(38). 8205–8213. 117 indexed citations
20.
Su, Min‐Ying, et al.. (2004). The formation of nuage in the oogenesis of the teleost {\sl Spinibarbus caldwelli} (Nichols). 50(2). 231–239. 1 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 Michael Fulham Breakdown of academic impact, for papers by Orhan Nalcioğlu Breakdown of academic impact, for papers by Isabella Castiglioni Breakdown of academic impact, for papers by Jiani Hu Breakdown of academic impact, for papers by Elias R. Melhem Breakdown of academic impact, for papers by Meng Law Breakdown of academic impact, for papers by Maria Carla Gilardi Breakdown of academic impact, for papers by Ronald Boellaard Breakdown of academic impact, for papers by Ganesh Rao Breakdown of academic impact, for papers by Michael V. Knopp
Rankless by CCL
2026