Ziqiong Wang
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
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- Cardiovascular Function and Risk Factors 4
- Cardiomyopathy and Myosin Studies 4
- Cardiovascular Effects of Exercise 2
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- Plant Virus Research Studies 3
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- Liver Disease Diagnosis and Treatment 3
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- Liver physiology and pathology 2
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- MicroRNA in disease regulation 2
- Co-authors
- Sen HeJun MaXiangyu YangKai LiuYanan LiRunyu YeXin ZhangRufeng Shi
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicineMolecular Biology
- Journals
- Biological Trace Element Research (2 papers)Toxicology and Applied Pharmacology (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ziqiong Wang
27 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 44
- Cardiology and Cardiovascular Medicine 60
- Molecular Biology 138
- Complementary and alternative medicine 14
- Genetics 44
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 14 | |
| 9 | Signaling pathways in vascular function and hypertension: molecular mechanisms and therapeutic interventionsbreakdown → | 2023 | 125 |
| 10 | 2022 | 1 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 42 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 27 | |
| 18 | 2021 | 5 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 12 |
About Ziqiong Wang
Ziqiong Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 28 papers that have together received 384 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Plant Virus Research Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Liver physiology and pathology (2 papers), MicroRNA in disease regulation (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (44 citations), Cardiology and Cardiovascular Medicine (60 citations) and Molecular Biology (138 citations). Ziqiong Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sen He, Jun Ma, Xiangyu Yang, Kai Liu, Yanan Li, Runyu Ye, Xin Zhang, Rufeng Shi, Liming Zhao and Qingtao Meng. Their work appears in journals such as Biological Trace Element Research, Toxicology and Applied Pharmacology, Computers in Biology and Medicine, Molecular Therapy and Scientific Reports.
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.