Wei Bi
Impact in
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- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 3
- Tissue Engineering and Regenerative Medicine 2
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- Signaling Pathways in Disease 2
- Co-authors
- Huang‐Tian Yang (5 shared papers)Yun Jiang (4 shared papers)Yanling Zhou (1 shared paper)Qiang Li (2 shared papers)Jiang Chang (1 shared paper)Long Gao (1 shared paper)Min Xing (1 shared paper)Lingling Ma (1 shared paper)
In The Last Decade
Wei Bi
14 papers receiving 378 citations
Wei Bi's Hit Papers
Peers
Comparison fields: 5 of 79
- Biomaterials 53
- Physiology 15
- Geriatrics and Gerontology 7
- Surgery 80
- Pathology and Forensic Medicine 32
Countries citing papers authored by Wei Bi
This map shows the geographic impact of Wei Bi'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 Wei Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Bi more than expected).
Fields of papers citing papers by Wei Bi
This network shows the impact of papers produced by Wei Bi. 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 Wei Bi. The network helps show where Wei Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Bi, 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 | 2021 | 104 | |
| 2 | 2020 | 101 | |
| 3 | MOF-derived ultrathin carbon nanosheets integrated with telluride nanoparticles: synergistic polysulfide adsorption and catalytic sites for enhanced sulfur redox reactions Hit paper breakdown → | 2025 | 56 |
| 4 | 2019 | 37 | |
| 5 | Contrast-enhanced ultrasound for detection and diagnosis of renal clear cell carcinoma. | 2009 | 26 |
| 6 | 2023 | 19 | |
| 7 | 2021 | 15 | |
| 8 | 2025 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2025 | 2 | |
| 11 | 2010 | 2 | |
| 12 | 2018 | 2 | |
| 13 | [Effect of BMP-2 on osteogenesis of bone mesenchymal stem cells in rats]. | 2011 | 1 |
| 14 | 2015 | 1 |
About Wei Bi
Wei Bi is a scholar working on Surgery, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 382 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (2 papers), Signaling Pathways in Disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Advanced Battery Materials and Technologies (1 paper), Silicone and Siloxane Chemistry (1 paper), Structural Response to Dynamic Loads (1 paper), Infrastructure Resilience and Vulnerability Analysis (1 paper) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Biomaterials (53 citations), Physiology (15 citations), Geriatrics and Gerontology (7 citations), Surgery (80 citations) and Pathology and Forensic Medicine (32 citations). Wei Bi has collaborated with scholars based in China, Sweden and Spain. Frequent co-authors include Huang‐Tian Yang, Yun Jiang, Yanling Zhou, Qiang Li, Jiang Chang, Long Gao, Min Xing, Lingling Ma, Jinlong Liu and Nan Cao. Their work appears in journals such as Energy & Environmental Science, Bioactive Materials, Stem Cells Translational Medicine, Antioxidants and Redox Signaling and Circulation 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.