Pingli Wu
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
Papers in
- Biomaterials 11
- Electrospun Nanofibers in Biomedical Applications 11
- Surgery 7
- Tissue Engineering and Regenerative Medicine 7
- Co-authors
- Guoming Sun (6 shared papers)Jianghui Qin (3 shared papers)Meifeng Zhu (4 shared papers)Hongjun Wang (3 shared papers)Deling Kong (3 shared papers)Fang Chen (1 shared paper)Guanwei Fan (2 shared papers)Yifan Wu (3 shared papers)
- Journals
- Biomaterials (2 papers)Macromolecular Bioscience (2 papers)Advanced Science (1 paper)Materials Today Energy (1 paper)Interactive Cardiovascular and Thoracic Surgery (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pingli Wu
20 papers receiving 700 citations
Peers
Comparison fields: 5 of 79
- Rehabilitation 164
- Biomaterials 351
- Molecular Medicine 47
- Surgery 213
- Biomedical Engineering 190
Countries citing papers authored by Pingli Wu
This map shows the geographic impact of Pingli Wu'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 Pingli Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingli Wu more than expected).
Fields of papers citing papers by Pingli Wu
This network shows the impact of papers produced by Pingli Wu. 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 Pingli Wu. The network helps show where Pingli Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingli Wu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 152 | |
| 2 | 2023 | 104 | |
| 3 | 2018 | 103 | |
| 4 | 2022 | 76 | |
| 5 | 2020 | 70 | |
| 6 | 2015 | 31 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 22 | |
| 9 | 2019 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2023 | 17 | |
| 12 | 2019 | 17 | |
| 13 | 2025 | 16 | |
| 14 | 2023 | 8 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2025 | 6 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Pingli Wu
Pingli Wu is a scholar working on Biomaterials, Surgery, Electrical and Electronic Engineering, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 705 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (11 papers), Tissue Engineering and Regenerative Medicine (7 papers), Advanced Battery Materials and Technologies (5 papers), Wound Healing and Treatments (5 papers), Advancements in Battery Materials (5 papers), Advanced battery technologies research (4 papers), Aortic Disease and Treatment Approaches (3 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Rehabilitation (164 citations), Biomaterials (351 citations), Molecular Medicine (47 citations), Surgery (213 citations) and Biomedical Engineering (190 citations). Pingli Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guoming Sun, Jianghui Qin, Meifeng Zhu, Hongjun Wang, Deling Kong, Fang Chen, Fang Chen, Guanwei Fan, Yifan Wu and Wen Li. Their work appears in journals such as Biomaterials, Macromolecular Bioscience, Advanced Science, Materials Today Energy and Interactive Cardiovascular and Thoracic Surgery.
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.