Min-Fu Yang

1.1k citations
90 papers · 765 · h-index 13

Impact in

Papers in

Min-Fu Yang

82 papers receiving 758 citations

Peers

Min-Fu Yang
Comparison fields: 5 of 65
  • Cardiology and Cardiovascular Medicine 283
  • Radiology, Nuclear Medicine and Imaging 212
  • Oncology 211
  • Cancer Research 73
  • Surgery 175
Replace Satoshi Isobe with:
Satoshi Isobe Japan
Denise Braganza United Kingdom
Jum Suk Ko South Korea
Jean-Paul Couëtil France
Alan Hanley United States
Jesper K. Jensen Denmark
Stanley Chia Singapore
Minako Katayama Japan
Darío Echeverri Colombia
Joseph M DiMaria United States
Min-Fu Yang relative to Satoshi Isobe Japan Satoshi Isobe's profile →
Citations per field
00.5×10×14×
Satoshi Isobe · 1×
Citations per year

Countries citing papers authored by Min-Fu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Min-Fu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Fu Yang. 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-Fu Yang. The network helps show where Min-Fu Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Min-Fu Yang, 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 Min-Fu Yang Line = papers co-authored together Min-Fu Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202259
2 202249
3 200841
4 201933
5 202129
6 201928
7 201226
8 201824
9 201820
10 202116
11
Effects of blockade of cerebral lymphatic drainage on cerebral ischemia after middle cerebral artery occlusion in rats.
200016
12 202315
13 201913
14 202412
15 202312
16 201812
17 201312
18 200312
19 202212
20 202112

About Min-Fu Yang

Min-Fu Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 90 papers that have together received 765 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (27 papers), Peptidase Inhibition and Analysis (19 papers), Cardiac Structural Anomalies and Repair (10 papers), Cardiovascular Disease and Adiposity (8 papers), Cardiac tumors and thrombi (7 papers), Atrial Fibrillation Management and Outcomes (6 papers), Medical Imaging Techniques and Applications (6 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (283 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Oncology (211 citations), Cancer Research (73 citations) and Surgery (175 citations). Min-Fu Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaojuan Guo, Xiaoying Xi, Zuo-Xiang He, Zuo‐Xiang He, Li Wang, Yuanhua Yang, Kefei Dou, Shihua Zhao, Juanni Gong and Diwakar Jain. Their work appears in journals such as Journal of Nuclear Cardiology, Nuclear Medicine Communications, European Journal of Nuclear Medicine and Molecular Imaging, PLoS ONE and European Heart Journal - Cardiovascular Imaging.

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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