Zhonghai Wei
Impact in
-
- Cardiovascular Function and Risk Factors
- Cardiac Fibrosis and Remodeling
- Geriatrics and Gerontology top 10%
Papers in
-
- Acute Myocardial Infarction Research 4
- Surgery 7
- Coronary Interventions and Diagnostics 6
- Co-authors
- Jun Xie (16 shared papers)Biao Xu (13 shared papers)Lina Kang (5 shared papers)Jianzhou Chen (11 shared papers)Jinxuan Zhao (4 shared papers)Han Wu (16 shared papers)Qing Dai (5 shared papers)Shuaihua Qiao (3 shared papers)
- Journals
- BMC Cardiovascular Disorders (6 papers)Medicine (2 papers)Cardiovascular Diabetology (2 papers)Cellular Physiology and Biochemistry (2 papers)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited KingdomSweden
In The Last Decade
Zhonghai Wei
41 papers receiving 917 citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 215
- Geriatrics and Gerontology 28
- Cancer Research 118
- Clinical Biochemistry 51
- Endocrinology, Diabetes and Metabolism 83
Countries citing papers authored by Zhonghai Wei
This map shows the geographic impact of Zhonghai 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 Zhonghai Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhonghai Wei more than expected).
Fields of papers citing papers by Zhonghai Wei
This network shows the impact of papers produced by Zhonghai 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 Zhonghai Wei. The network helps show where Zhonghai Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhonghai 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 182 | |
| 2 | 2022 | 113 | |
| 3 | 2016 | 108 | |
| 4 | 2023 | 82 | |
| 5 | 2009 | 46 | |
| 6 | 2020 | 40 | |
| 7 | 2018 | 36 | |
| 8 | 2015 | 29 | |
| 9 | 2023 | 23 | |
| 10 | 2019 | 23 | |
| 11 | 2016 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2023 | 16 | |
| 15 | 2021 | 13 | |
| 16 | 2016 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2024 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2024 | 10 |
About Zhonghai Wei
Zhonghai Wei is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Immunology and Clinical Biochemistry, having authored 43 papers that have together received 928 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (6 papers), Advanced Glycation End Products research (4 papers), Extracellular vesicles in disease (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiac Imaging and Diagnostics (4 papers), Gut microbiota and health (2 papers), Immune cells in cancer (2 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (215 citations), Geriatrics and Gerontology (28 citations), Cancer Research (118 citations), Clinical Biochemistry (51 citations) and Endocrinology, Diabetes and Metabolism (83 citations). Zhonghai Wei has collaborated with scholars based in China, United Kingdom and Sweden. Frequent co-authors include Jun Xie, Biao Xu, Lina Kang, Jianzhou Chen, Jinxuan Zhao, Han Wu, Qing Dai, Shuaihua Qiao, Yihai Liu and Qiaoling Li. Their work appears in journals such as BMC Cardiovascular Disorders, Medicine, Cardiovascular Diabetology, Cellular Physiology and Biochemistry and Stem Cell Research & Therapy.
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.