Min-Fu Yang

1.2k citations
96 papers · 843 · h-index 13

Impact in

Papers in

Min-Fu Yang

83 papers receiving 827 citations

Peers

Min-Fu Yang
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 314
  • Radiology, Nuclear Medicine and Imaging 244
  • Oncology 214
  • Cancer Research 73
  • Surgery 181
Replace Minako Katayama with:
Minako Katayama United States
Jørgen A. Gravning Norway
Xi Zhao China
Kristina Tägil Sweden
Satoru Ohshima Japan
Evangelia Karvouni Greece
Darío Echeverri Colombia
Socrates Korovesis Greece
Wan‐Joo Shim South Korea
Teresa Pellegrino Italy
Min-Fu Yang relative to Minako Katayama United States Minako Katayama's profile →
Citations per field
00.5×2×4×6×7.6×
Minako Katayama · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202262
2 202253
3 200853
4 201939
5 202132
6 201929
7 201228
8 201828
9 201824
10 202318
11 202116
12
Effects of blockade of cerebral lymphatic drainage on cerebral ischemia after middle cerebral artery occlusion in rats.
200015
13 201914
14 202313
15 202113
16 201313
17 200313
18 202112
19 202212
20 202012

About Min-Fu Yang

Min-Fu Yang is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 96 papers that have together received 843 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (28 papers), Peptidase Inhibition and Analysis (19 papers), Cardiac Structural Anomalies and Repair (10 papers), Cardiovascular Disease and Adiposity (7 papers), Cardiac tumors and thrombi (7 papers), Medical Imaging Techniques and Applications (7 papers), Cardiovascular Function and Risk Factors (6 papers) and Protease and Inhibitor Mechanisms (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (314 citations), Radiology, Nuclear Medicine and Imaging (244 citations), Oncology (214 citations), Cancer Research (73 citations) and Surgery (181 citations). Min-Fu Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiaoying Xi, Xiaojuan Guo, Zuo-Xiang He, Zuo‐Xiang He, Yuanhua Yang, Ke-Fei Dou, Li Wang, Juanni Gong, Shihua Zhao 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, Journal of Nuclear Medicine 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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