Ming-An Yu

1.9k citations
95 papers · 941 · h-index 19

Impact in

Papers in

Ming-An Yu

77 papers receiving 927 citations

Peers

Ming-An Yu
Comparison fields: 5 of 74
  • Nephrology 262
  • Endocrinology, Diabetes and Metabolism 292
  • Hepatology 73
  • Internal Medicine 22
  • Surgery 257
Replace Annalisa De Liperi with:
Annalisa De Liperi Italy
Jin Wook Yi South Korea
Cristian Giuseppe Monaco Italy
Reese W. Randle United States
Janka Franeková Czechia
Hye Shin Ahn South Korea
He Liu China
Filippo Filicori United States
Ming-An Yu relative to Annalisa De Liperi Italy Annalisa De Liperi's profile →
Citations per field
00.5×10×15×22×
Annalisa De Liperi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ming-An Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming-An Yu Line = papers co-authored together Ming-An Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 201651
3 201145
4 202138
5 201736
6 201532
7 201430
8 201327
9 202026
10 202225
11 202025
12 202323
13 201923
14 202122
15 201622
16 201521
17 202221
18 202120
19 202019
20 201718

About Ming-An Yu

Ming-An Yu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 95 papers that have together received 941 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (44 papers), Parathyroid Disorders and Treatments (19 papers), Thyroid and Parathyroid Surgery (15 papers), Head and Neck Anomalies (5 papers), AI in cancer detection (5 papers), Medical Image Segmentation Techniques (4 papers), Medical Imaging and Pathology Studies (4 papers) and Digital Imaging for Blood Diseases (3 papers). The work is most often cited by research in Nephrology (262 citations), Endocrinology, Diabetes and Metabolism (292 citations), Hepatology (73 citations), Internal Medicine (22 citations) and Surgery (257 citations). Ming-An Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Li-Li Peng, Ying Wei, Zhenlong Zhao, Yan Li, Ping Liang, Jie Wu, Jie Yu, Xiaoling Yu, Fangyi Liu and Xiaojing Cao. Their work appears in journals such as International Journal of Hyperthermia, European Radiology, Frontiers in Endocrinology, Radiology and Academic Radiology.

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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