Qinglin Yang
Impact in
-
- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
- Cardiomyopathy and Myosin Studies
- Aging top 5%
Papers in
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- Signaling Pathways in Disease 7
- Peroxisome Proliferator-Activated Receptors 7
-
- Cardiac Fibrosis and Remodeling 9
- Cardiomyopathy and Myosin Studies 6
- Co-authors
- Hongliang Li (11 shared papers)Qianhong Qin (3 shared papers)Nu He (2 shared papers)Guoliang Ding (2 shared papers)Lihong Cheng (2 shared papers)Johji Yamahara (3 shared papers)Xiao Yan (1 shared paper)Michael Schneider (1 shared paper)
- Journals
- Journal of Molecular and Cellular Cardiology (3 papers)Cardiovascular Research (3 papers)Hypertension (3 papers)Scientific Reports (2 papers)Circulation (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Qinglin Yang
69 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 137
- Cardiology and Cardiovascular Medicine 845
- Aging 64
- Endocrine and Autonomic Systems 188
- Physiology 565
- Molecular Biology 1.2k
Countries citing papers authored by Qinglin Yang
This map shows the geographic impact of Qinglin 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 Qinglin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinglin Yang more than expected).
Fields of papers citing papers by Qinglin Yang
This network shows the impact of papers produced by Qinglin 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 Qinglin Yang. The network helps show where Qinglin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qinglin 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 372 | |
| 2 | 2014 | 162 | |
| 3 | 2007 | 119 | |
| 4 | 2007 | 102 | |
| 5 | 2010 | 94 | |
| 6 | 2009 | 91 | |
| 7 | 2005 | 89 | |
| 8 | 2007 | 87 | |
| 9 | 2013 | 86 | |
| 10 | 2019 | 84 | |
| 11 | 2014 | 84 | |
| 12 | 1999 | 80 | |
| 13 | 2016 | 79 | |
| 14 | 2013 | 72 | |
| 15 | 2007 | 69 | |
| 16 | 2013 | 67 | |
| 17 | 2014 | 65 | |
| 18 | 2020 | 64 | |
| 19 | 2016 | 60 | |
| 20 | 2009 | 58 |
About Qinglin Yang
Qinglin Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Neurology, Epidemiology and Physiology, having authored 73 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (9 papers), Adipose Tissue and Metabolism (8 papers), Signaling Pathways in Disease (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Cardiomyopathy and Myosin Studies (6 papers), Folate and B Vitamins Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (845 citations), Aging (64 citations), Endocrine and Autonomic Systems (188 citations), Physiology (565 citations) and Molecular Biology (1.2k citations). Qinglin Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongliang Li, Qianhong Qin, Nu He, Guoliang Ding, Lihong Cheng, Johji Yamahara, Xiao Yan, Michael Schneider, Yao‐Kuang Huang and William Lewis. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Cardiovascular Research, Hypertension, Scientific Reports and Circulation.
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.