Ning‐I Yang

1.7k citations
54 papers · 1.3k · h-index 20

Impact in

Papers in

Ning‐I Yang

49 papers receiving 1.2k citations

Peers

Ning‐I Yang
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 437
  • Complementary and alternative medicine 85
  • Nephrology 60
  • Genetics 70
  • Endocrinology, Diabetes and Metabolism 95
Replace Kenichi Matsushita with:
Kenichi Matsushita Japan
Deddo Mörtl Austria
Hidemichi Kouzu Japan
Niels Engberding United States
Cory R. Trankle United States
Satoshi Akagi Japan
Selma F. Mohammed United States
Akihiro Hirashiki Japan
Philipp Rein Austria
Toshiaki Kadokami Japan
Ning‐I Yang relative to Kenichi Matsushita Japan Kenichi Matsushita's profile →
Citations per field
00.5×3.3×
Kenichi Matsushita · 1×
Citations per year

Countries citing papers authored by Ning‐I Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ning‐I Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning‐I 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 Ning‐I Yang. The network helps show where Ning‐I Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015244
2 2006106
3 200798
4 200687
5 201583
6 201766
7 200653
8 200551
9 201840
10 201237
11 200734
12 201432
13 202329
14 201226
15 200425
16 200821
17 202119
18 201019
19 200419
20 200819

About Ning‐I Yang

Ning‐I Yang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Cardiac Imaging and Diagnostics (6 papers), Heart Failure Treatment and Management (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Body Composition Measurement Techniques (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (437 citations), Complementary and alternative medicine (85 citations), Nephrology (60 citations), Genetics (70 citations) and Endocrinology, Diabetes and Metabolism (95 citations). Ning‐I Yang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chao‐Hung Wang, Wen‐Jin Cherng, Ming‐Jui Hung, Chi‐Wen Cheng, Li‐Tang Kuo, Min‐Hui Liu, Yu-Yen Huang, Chun‐Tai Mao, Subodh Verma and Jui‐Fen Lin. Their work appears in journals such as Scientific Reports, The American Journal of the Medical Sciences, Medicine, The American Journal of Cardiology and JAMA Network Open.

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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