Lei Shao
- Automotive Engineering top 1%
- Additive Manufacturing and 3D Printing Technologies 17
- Biomedical Engineering top 2%
- 3D Printing in Biomedical Research 22
- Innovative Microfluidic and Catalytic Techniques Innovation 12
- Bone Tissue Engineering Materials 9
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications 6
- Molecular Medicine top 5%
- Rehabilitation top 10%
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- Tissue Engineering and Regenerative Medicine 3
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- Mechanical and Optical Resonators 3
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- Pluripotent Stem Cells Research 2
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Lei Shao
40 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Automotive Engineering 605
- Biomedical Engineering 1.3k
- Biomaterials 370
- Molecular Medicine 83
- Rehabilitation 45
Countries citing papers authored by Lei Shao
This map shows the geographic impact of Lei Shao'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 Lei Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Shao more than expected).
Fields of papers citing papers by Lei Shao
This network shows the impact of papers produced by Lei Shao. 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 Lei Shao. The network helps show where Lei Shao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lei Shao, 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 | Construction methods and biomedical applications of PVA-based hydrogelsbreakdown → | 2024 | 94 |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 7 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 153 | |
| 12 | 2020 | 88 | |
| 13 | 2019 | 130 | |
| 14 | 2019 | 67 | |
| 15 | 2019 | 33 | |
| 16 | 2018 | 66 | |
| 17 | 2018 | 117 | |
| 18 | 2011 | 32 | |
| 19 | Study on the experimental design of cryoprotectant toxicity to fish embryo cryopreservation based on LM neural networks | 2007 | 1 |
| 20 | Multi-level configuration design method for complicated engineering-to-order product | 2007 | 2 |
About Lei Shao
Lei Shao is a scholar working on Automotive Engineering, Biomedical Engineering and Biomaterials, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (22 papers), Additive Manufacturing and 3D Printing Technologies (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (12 papers), Bone Tissue Engineering Materials (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (3 papers), Mechanical and Optical Resonators (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Automotive Engineering (605 citations), Biomedical Engineering (1.3k citations) and Biomaterials (370 citations). Lei Shao has collaborated with scholars based in China, United States and India. Frequent co-authors include Yong He, Jianzhong Fu, Qing Gao, Chaoqi Xie, Meixiang Xiang, Haiming Zhao, Zichen Chen, Jing Nie, Zhenjie Liu and Ruixia Hou. Their work appears in journals such as Advanced Materials, PLoS ONE and Small.
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.