Yining Yang
Impact in
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- Acupuncture Treatment Research Studies
- Traditional Chinese Medicine Studies
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- Cardiovascular Disease and Adiposity
Papers in
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- Cardiovascular Function and Risk Factors 4
- Epidemiology 14
- Liver Disease Diagnosis and Treatment 5
- Adipokines, Inflammation, and Metabolic Diseases 3
- Co-authors
- Xiao‐Mei Li (24 shared papers)Bang‐Dang Chen (20 shared papers)Yi‐Tong Ma (12 shared papers)Zhen-Yan Fu (13 shared papers)Xiang Ma (14 shared papers)Xiang Xie (14 shared papers)Ying Huang (11 shared papers)Yi-Tong Ma (8 shared papers)
In The Last Decade
Yining Yang
44 papers receiving 563 citations
Peers
Comparison fields: 5 of 94
- Complementary and alternative medicine 64
- Cardiology and Cardiovascular Medicine 169
- Epidemiology 178
- Endocrinology, Diabetes and Metabolism 83
- Biochemistry 27
Countries citing papers authored by Yining Yang
This map shows the geographic impact of Yining 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 Yining Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Yang more than expected).
Fields of papers citing papers by Yining Yang
This network shows the impact of papers produced by Yining 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 Yining Yang. The network helps show where Yining Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 79 | |
| 2 | 2014 | 62 | |
| 3 | 2015 | 42 | |
| 4 | 2010 | 41 | |
| 5 | 2019 | 36 | |
| 6 | 2015 | 27 | |
| 7 | 2011 | 27 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 24 | |
| 10 | 2024 | 21 | |
| 11 | 2015 | 21 | |
| 12 | 2017 | 21 | |
| 13 | 2016 | 18 | |
| 14 | 2017 | 11 | |
| 15 | [Ischemic postconditioning protects hypertrophic myocardium by ERK1/2 signaling pathway: experiment with mice]. | 2009 | 11 |
| 16 | 2022 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2019 | 8 |
About Yining Yang
Yining Yang is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Pathology and Forensic Medicine, having authored 48 papers that have together received 570 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiac Ischemia and Reperfusion (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Cardiovascular Function and Risk Factors (4 papers), Diabetes Treatment and Management (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Complementary and alternative medicine (64 citations), Cardiology and Cardiovascular Medicine (169 citations), Epidemiology (178 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Biochemistry (27 citations). Yining Yang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xiao‐Mei Li, Bang‐Dang Chen, Yi‐Tong Ma, Zhen-Yan Fu, Xiang Ma, Xiang Xie, Ying Huang, Yi-Tong Ma, Fen Liu and Qingjie Chen. Their work appears in journals such as BMC Cardiovascular Disorders, Journal of the American College of Cardiology, PLoS ONE, Scientific Reports and Cell Research.
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.