Kun‐Qi Yang
Impact in
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- Cardiomyopathy and Myosin Studies
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- Hormonal Regulation and Hypertension
Papers in
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- Cardiomyopathy and Myosin Studies 8
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- Ion Transport and Channel Regulation 12
- Co-authors
- Yan-Kun Yang (15 shared papers)Xianliang Zhou (21 shared papers)Xu Meng (14 shared papers)Xian‐Liang Zhou (21 shared papers)Peng Fan (24 shared papers)Yan Xiao (9 shared papers)Xianliang Zhou (4 shared papers)Yaxin Liu (16 shared papers)
- Journals
- The American Journal of the Medical Sciences (8 papers)Clinica Chimica Acta (4 papers)Kidney & Blood Pressure Research (3 papers)American Journal of Hypertension (3 papers)BMC Endocrine Disorders (2 papers)
- Partner nations
- ChinaPhilippinesDenmark
In The Last Decade
Kun‐Qi Yang
50 papers receiving 789 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 169
- Endocrinology, Diabetes and Metabolism 107
- Pulmonary and Respiratory Medicine 169
- Health, Toxicology and Mutagenesis 62
- Molecular Biology 280
Countries citing papers authored by Kun‐Qi Yang
This map shows the geographic impact of Kun‐Qi 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 Kun‐Qi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Qi Yang more than expected).
Fields of papers citing papers by Kun‐Qi Yang
This network shows the impact of papers produced by Kun‐Qi 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 Kun‐Qi Yang. The network helps show where Kun‐Qi Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Qi 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2015 | 63 | |
| 3 | 2015 | 43 | |
| 4 | 2017 | 36 | |
| 5 | 2014 | 35 | |
| 6 | 2014 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 2017 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2017 | 26 | |
| 12 | 2018 | 24 | |
| 13 | 2014 | 24 | |
| 14 | 2015 | 21 | |
| 15 | 2022 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2017 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2016 | 16 |
About Kun‐Qi Yang
Kun‐Qi Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Developmental Neuroscience, having authored 54 papers that have together received 804 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (12 papers), Cardiomyopathy and Myosin Studies (8 papers), Hormonal Regulation and Hypertension (6 papers), Vasculitis and related conditions (4 papers), Genetic Syndromes and Imprinting (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Electrolyte and hormonal disorders (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (169 citations), Endocrinology, Diabetes and Metabolism (107 citations), Pulmonary and Respiratory Medicine (169 citations), Health, Toxicology and Mutagenesis (62 citations) and Molecular Biology (280 citations). Kun‐Qi Yang has collaborated with scholars based in China, Philippines and Denmark. Frequent co-authors include Yan-Kun Yang, Xianliang Zhou, Xu Meng, Xian‐Liang Zhou, Peng Fan, Yan Xiao, Xianliang Zhou, Yaxin Liu, Tao Tian and Ying Zhang. Their work appears in journals such as The American Journal of the Medical Sciences, Clinica Chimica Acta, Kidney & Blood Pressure Research, American Journal of Hypertension and BMC Endocrine Disorders.
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.