Guoquan Wei
Impact in
- Molecular Biology top 10%
- Circular RNAs in diseases
- Congenital heart defects research
- Gut microbiota and health
- Extracellular vesicles in disease
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Congenital heart defects research 8
- Circular RNAs in diseases 6
- Gut microbiota and health 3
- Extracellular vesicles in disease 2
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- Aortic aneurysm repair treatments 5
- Co-authors
- Jianping Bin (15 shared papers)Wangjun Liao (16 shared papers)Yulin Liao (14 shared papers)Hao Zheng (8 shared papers)Chuling Li (6 shared papers)Xiaoyun Si (5 shared papers)Yijin Chen (6 shared papers)Yanmei Chen (9 shared papers)
In The Last Decade
Guoquan Wei
22 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 734
- Cancer Research 106
- Pulmonary and Respiratory Medicine 145
- Endocrine and Autonomic Systems 24
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Guoquan Wei
This map shows the geographic impact of Guoquan Wei'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 Guoquan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoquan Wei more than expected).
Fields of papers citing papers by Guoquan Wei
This network shows the impact of papers produced by Guoquan Wei. 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 Guoquan Wei. The network helps show where Guoquan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoquan Wei, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 378 | |
| 2 | 2020 | 117 | |
| 3 | 2022 | 113 | |
| 4 | 2020 | 108 | |
| 5 | 2021 | 100 | |
| 6 | 2018 | 69 | |
| 7 | 2019 | 68 | |
| 8 | 2021 | 46 | |
| 9 | 2022 | 33 | |
| 10 | 2018 | 23 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2019 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2018 | 8 | |
| 17 | 2025 | 7 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Guoquan Wei
Guoquan Wei is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Pharmacology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Circular RNAs in diseases (6 papers), Aortic aneurysm repair treatments (5 papers), Gut microbiota and health (3 papers), Extracellular vesicles in disease (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Cardiac Fibrosis and Remodeling (2 papers) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Molecular Biology (734 citations), Cancer Research (106 citations), Pulmonary and Respiratory Medicine (145 citations), Endocrine and Autonomic Systems (24 citations) and Cardiology and Cardiovascular Medicine (88 citations). Guoquan Wei has collaborated with scholars based in China and Germany. Frequent co-authors include Jianping Bin, Wangjun Liao, Yulin Liao, Hao Zheng, Chuling Li, Xiaoyun Si, Yijin Chen, Yanmei Chen, Xinzhong Li and Senlin Huang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Therapy, Advanced Science, Theranostics and Journal of Advanced 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.