Xiaowei Li
Impact in
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Biological Psychiatry top 5%
Papers in
- Surgery 40
- Tissue Engineering and Regenerative Medicine 6
- Coronary Interventions and Diagnostics 5
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- RNA Interference and Gene Delivery 7
- CRISPR and Genetic Engineering 4
- Co-authors
- Hai‐Quan Mao (10 shared papers)Chi Zhang (4 shared papers)Jerry Yan (3 shared papers)Calvin Chang (3 shared papers)Hai Wang (1 shared paper)Jingwei Xie (4 shared papers)Zhi‐Cheng Yao (1 shared paper)Long Chen (3 shared papers)
- Journals
- Stem Cell Research (4 papers)Scientific Reports (3 papers)Biomaterials (3 papers)ACS Biomaterials Science & Engineering (2 papers)Acta Biomaterialia (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaowei Li
105 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 132
- Biomaterials 514
- Biological Psychiatry 73
- Molecular Medicine 116
- Rehabilitation 155
- Developmental Neuroscience 89
Countries citing papers authored by Xiaowei Li
This map shows the geographic impact of Xiaowei Li'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 Xiaowei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Li more than expected).
Fields of papers citing papers by Xiaowei Li
This network shows the impact of papers produced by Xiaowei Li. 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 Xiaowei Li. The network helps show where Xiaowei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Li, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 207 | |
| 2 | 2021 | 141 | |
| 3 | 2019 | 133 | |
| 4 | 2020 | 120 | |
| 5 | 2021 | 116 | |
| 6 | 2020 | 104 | |
| 7 | 2019 | 84 | |
| 8 | 2019 | 81 | |
| 9 | 2012 | 74 | |
| 10 | 2019 | 67 | |
| 11 | 2005 | 60 | |
| 12 | 2021 | 58 | |
| 13 | 2011 | 53 | |
| 14 | 2017 | 46 | |
| 15 | 2019 | 43 | |
| 16 | 2016 | 42 | |
| 17 | 2020 | 42 | |
| 18 | 2020 | 41 | |
| 19 | 2010 | 40 | |
| 20 | 2012 | 40 |
About Xiaowei Li
Xiaowei Li is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Biomaterials and Cardiology and Cardiovascular Medicine, having authored 114 papers that have together received 2.4k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), RNA Interference and Gene Delivery (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Nerve injury and regeneration (5 papers), Coronary Interventions and Diagnostics (5 papers), Anesthesia and Neurotoxicity Research (4 papers), CRISPR and Genetic Engineering (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Biomaterials (514 citations), Biological Psychiatry (73 citations), Molecular Medicine (116 citations), Rehabilitation (155 citations) and Developmental Neuroscience (89 citations). Xiaowei Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hai‐Quan Mao, Chi Zhang, Jerry Yan, Calvin Chang, Hai Wang, Jingwei Xie, Zhi‐Cheng Yao, Long Chen, Wen Jiang and Zhengbing Zhou. Their work appears in journals such as Stem Cell Research, Scientific Reports, Biomaterials, ACS Biomaterials Science & Engineering and Acta Biomaterialia.
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.