Ming-An Yu

1.7k total citations
90 papers, 867 citations indexed

About

Ming-An Yu is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Ming-An Yu has authored 90 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 46 papers in Endocrinology, Diabetes and Metabolism and 20 papers in Nephrology. Recurrent topics in Ming-An Yu's work include Thyroid and Parathyroid Surgery (50 papers), Thyroid Cancer Diagnosis and Treatment (45 papers) and Parathyroid Disorders and Treatments (20 papers). Ming-An Yu is often cited by papers focused on Thyroid and Parathyroid Surgery (50 papers), Thyroid Cancer Diagnosis and Treatment (45 papers) and Parathyroid Disorders and Treatments (20 papers). Ming-An Yu collaborates with scholars based in China, United States and Canada. Ming-An Yu's co-authors include Li-Li Peng, Ying Wei, Zhenlong Zhao, Yan Li, Ping Liang, Jie Wu, Jie Yu, Xiaoling Yu, Xiaojing Cao and Fangyi Liu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Radiology.

In The Last Decade

Ming-An Yu

72 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-An Yu China 18 565 283 258 155 151 90 867
Hüsnü Aydın Türkiye 10 609 1.1× 119 0.4× 134 0.5× 245 1.6× 254 1.7× 41 894
Jin Wook Yi South Korea 19 493 0.9× 387 1.4× 63 0.2× 100 0.6× 126 0.8× 75 890
Devasenathipathy Kandasamy India 16 369 0.7× 127 0.4× 81 0.3× 275 1.8× 150 1.0× 161 1.0k
Elgin Özkan Türkiye 14 173 0.3× 120 0.4× 36 0.1× 215 1.4× 181 1.2× 82 598
Zhi Qiao China 16 342 0.6× 167 0.6× 48 0.2× 187 1.2× 144 1.0× 51 846
D Castagnone Italy 14 197 0.3× 170 0.6× 61 0.2× 151 1.0× 42 0.3× 37 594
Bahaa M. Fadel Saudi Arabia 19 339 0.6× 92 0.3× 65 0.3× 395 2.5× 34 0.2× 95 1.3k
I Işıklar Türkiye 13 174 0.3× 35 0.1× 38 0.1× 149 1.0× 87 0.6× 33 617
Patrizia Pacini Italy 16 187 0.3× 148 0.5× 15 0.1× 112 0.7× 165 1.1× 45 709
Jinsoo Rhu South Korea 15 610 1.1× 50 0.2× 37 0.1× 183 1.2× 125 0.8× 111 843

Countries citing papers authored by Ming-An Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-An Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-An Yu. 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 Ming-An Yu. The network helps show where Ming-An Yu may publish in the future.

Co-authorship network of co-authors of Ming-An Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-An Yu. A scholar is included among the top collaborators of Ming-An Yu 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 Ming-An Yu. Ming-An Yu 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.
2.
Wei, Ying, et al.. (2025). Ultrasound imaging of the perithyroid fascial space: a comparative analysis with anatomical correlations. Scientific Reports. 15(1). 4503–4503. 3 indexed citations
3.
Song, Li, Ming-An Yu, Zhenlong Zhao, et al.. (2025). Changes in thyroid function after thermal ablation of thyroid nodules. Frontiers in Endocrinology. 16. 1557725–1557725.
4.
5.
Yu, Na, et al.. (2025). Comparison of US-guided thermal ablation and surgery for papillary thyroid cancer: a systematic review and meta-analysis. International Journal of Hyperthermia. 42(1). 2464206–2464206. 1 indexed citations
6.
He, Junfeng, Ying Zhou, Songsong Wu, et al.. (2025). Efficacy, safety, and risk factors of thermal ablation for follicular thyroid neoplasms: a multicentric study. Endocrine. 89(1). 125–136.
7.
Wei, Ying, Zhenlong Zhao, Li-Li Peng, et al.. (2024). Efficacy and Safety of Thermal Ablation for Solitary Low-Risk T2N0M0 Papillary Thyroid Carcinoma. Korean Journal of Radiology. 25(8). 756–756. 6 indexed citations
8.
Shi, Wanying, Zhenlong Zhao, Ying Wei, et al.. (2024). Investigating the optimal maximum diameter of benign thyroid nodules for thermal ablation on the basis of complete disappearance rate. International Journal of Hyperthermia. 41(1). 2408374–2408374. 1 indexed citations
9.
Yu, Xinyu, Ying Wei, Zhenlong Zhao, et al.. (2024). A Preliminary Study on the Microwave Ablation of Multifocal Papillary Thyroid Microcarcinoma. Academic Radiology. 31(6). 2306–2311. 3 indexed citations
10.
Yu, Ming-An, et al.. (2023). FDE-net: Frequency-domain enhancement network using dynamic-scale dilated convolution for thyroid nodule segmentation. Computers in Biology and Medicine. 153. 106514–106514. 14 indexed citations
11.
Zheng, Lin, Jianping Dou, Zhiyu Han, et al.. (2023). Microwave Ablation for Papillary Thyroid Microcarcinoma with and without US-detected Capsule Invasion: A Multicenter Prospective Cohort Study. Radiology. 307(3). e220661–e220661. 21 indexed citations
12.
Dou, Jianping, Lin Zheng, Fangyi Liu, et al.. (2023). Ultrasound-guided microwave ablation versus surgery for solitary T1bN0M0 papillary thyroid carcinoma: a prospective multicenter study. European Radiology. 34(1). 569–578. 13 indexed citations
13.
Wei, Ying, Zhenlong Zhao, Li-Li Peng, et al.. (2022). Microwave ablation versus parathyroidectomy for the treatment of primary hyperparathyroidism: a cohort study. European Radiology. 32(9). 5821–5830. 7 indexed citations
14.
Cao, Xiaojing, Zhenlong Zhao, Ying Wei, et al.. (2021). Microwave ablation for papillary thyroid cancer located in the thyroid isthmus: a preliminary study. International Journal of Hyperthermia. 38(1). 114–119. 12 indexed citations
15.
Wei, Ying, Chengzhong Peng, Shu‐Rong Wang, et al.. (2021). Effectiveness and Safety of Thermal Ablation in the Treatment of Primary Hyperparathyroidism: A Multicenter Study. The Journal of Clinical Endocrinology & Metabolism. 106(9). 2707–2717. 36 indexed citations
16.
Zhao, Zhenlong, Ying Wei, Tailing Wang, et al.. (2020). Imaging and Pathological Features of Idiopathic Portal Hypertension and Differential Diagnosis from Liver Cirrhosis. Scientific Reports. 10(1). 2473–2473. 5 indexed citations
17.
Zhuo, Li, Ling Zhang, Li-Li Peng, et al.. (2019). Microwave ablation of hyperplastic parathyroid glands is a treatment option for end-stage renal disease patients ineligible for surgical resection. International Journal of Hyperthermia. 36(1). 29–35. 22 indexed citations
18.
Liu, Fangyi, Zhigang Cheng, Zhiyu Han, et al.. (2017). A three-dimensional visualization preoperative treatment planning system for microwave ablation in liver cancer: a simulated experimental study. Abdominal Radiology. 42(6). 1788–1793. 15 indexed citations
19.
Yu, Ming-An, Ping Liang, Xiaoling Yu, et al.. (2011). Liver abscess as a complication of microwave ablation for liver metastatic cholangiocarcinoma after bilioenteric anastomosis. International Journal of Hyperthermia. 27(5). 503–509. 12 indexed citations
20.

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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