Quan Wei
Impact in
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- scientometrics and bibliometrics research
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- Cardiac Fibrosis and Remodeling
Papers in
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- Cardiac Fibrosis and Remodeling 4
- Co-authors
- Chengqi He (40 shared papers)Chenying Fu (33 shared papers)Fei Shu (4 shared papers)Bikun Chen (3 shared papers)Qing Zhang (13 shared papers)Lu Wang (7 shared papers)Shiqi Wang (5 shared papers)Hongxin Cheng (9 shared papers)
In The Last Decade
Quan Wei
80 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Statistics, Probability and Uncertainty 192
- Cardiology and Cardiovascular Medicine 303
- Health Informatics 17
- Rehabilitation 82
- Cancer Research 177
Countries citing papers authored by Quan Wei
This map shows the geographic impact of Quan 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 Quan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Wei more than expected).
Fields of papers citing papers by Quan Wei
This network shows the impact of papers produced by Quan 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 Quan Wei. The network helps show where Quan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Quan 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Signaling pathways and targeted therapy for myocardial infarction Hit paper breakdown → | 2022 | 501 |
| 2 | 2017 | 167 | |
| 3 | 2017 | 105 | |
| 4 | 2021 | 97 | |
| 5 | 2020 | 80 | |
| 6 | 2022 | 72 | |
| 7 | 2020 | 51 | |
| 8 | 2023 | 41 | |
| 9 | 2024 | 37 | |
| 10 | 2006 | 35 | |
| 11 | 2021 | 31 | |
| 12 | 2019 | 31 | |
| 13 | 2020 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 27 | |
| 17 | 2023 | 25 | |
| 18 | 2022 | 25 | |
| 19 | 2020 | 25 | |
| 20 | 2020 | 25 |
About Quan Wei
Quan Wei is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Surgery and Rehabilitation, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (12 papers), Spinal Cord Injury Research (9 papers), Musculoskeletal pain and rehabilitation (7 papers), MicroRNA in disease regulation (5 papers), scientometrics and bibliometrics research (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Electromagnetic Fields and Biological Effects (4 papers) and Acupuncture Treatment Research Studies (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (192 citations), Cardiology and Cardiovascular Medicine (303 citations), Health Informatics (17 citations), Rehabilitation (82 citations) and Cancer Research (177 citations). Quan Wei has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Chengqi He, Chenying Fu, Fei Shu, Bikun Chen, Qing Zhang, Lu Wang, Shiqi Wang, Hongxin Cheng, Gaiqin Pei and Lin Xu. Their work appears in journals such as Clinical Rehabilitation, Scientometrics, Frontiers in Cell and Developmental Biology, Bioelectromagnetics and Disability and Rehabilitation.
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.