Ziqiong Wang
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Cardiomyopathy and Myosin Studies
Papers in
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- Circular RNAs in diseases 2
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- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Function and Risk Factors 3
- Co-authors
- Sen He (9 shared papers)Runyu Ye (2 shared papers)Yanan Li (1 shared paper)Kai Liu (1 shared paper)Jun Ma (1 shared paper)Qingtao Meng (2 shared papers)Xiangyu Yang (1 shared paper)Xin Zhang (1 shared paper)
- Journals
- Biological Trace Element Research (2 papers)Toxicology and Applied Pharmacology (2 papers)Computers in Biology and Medicine (2 papers)Signal Transduction and Targeted Therapy (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ziqiong Wang
27 papers receiving 423 citations
Ziqiong Wang's Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 40
- Cardiology and Cardiovascular Medicine 47
- Molecular Biology 130
- Genetics 41
- Cancer Research 20
Countries citing papers authored by Ziqiong Wang
This map shows the geographic impact of Ziqiong Wang'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 Ziqiong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziqiong Wang more than expected).
Fields of papers citing papers by Ziqiong Wang
This network shows the impact of papers produced by Ziqiong Wang. 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 Ziqiong Wang. The network helps show where Ziqiong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ziqiong Wang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signaling pathways in vascular function and hypertension: molecular mechanisms and therapeutic interventions Hit paper breakdown → | 2023 | 142 |
| 2 | 2017 | 60 | |
| 3 | 2022 | 49 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 25 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 12 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2024 | 4 |
About Ziqiong Wang
Ziqiong Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Plant Science and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 429 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Plant Virus Research Studies (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Plant Disease Resistance and Genetics (3 papers), Cardiovascular Function and Risk Factors (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Liver physiology and pathology (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (40 citations), Cardiology and Cardiovascular Medicine (47 citations), Molecular Biology (130 citations), Genetics (41 citations) and Cancer Research (20 citations). Ziqiong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sen He, Runyu Ye, Yanan Li, Kai Liu, Jun Ma, Qingtao Meng, Xiangyu Yang, Xin Zhang, Rufeng Shi and Liming Zhao. Their work appears in journals such as Biological Trace Element Research, Toxicology and Applied Pharmacology, Computers in Biology and Medicine, Signal Transduction and Targeted Therapy and Nature Communications.
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.