Wei Fu
Impact in
- Biomaterials top 1%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Rheumatology top 1%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- RNA Interference and Gene Delivery 9
- Biomaterials 25
- Electrospun Nanofibers in Biomedical Applications 25
- Co-authors
- Bei Feng (18 shared papers)Xiaomin He (11 shared papers)Meng Yin (10 shared papers)Shuyun Liu (7 shared papers)Guangzhao Tian (6 shared papers)Shuangpeng Jiang (6 shared papers)Quanyi Guo (6 shared papers)Xiang Sui (6 shared papers)
- Journals
- Acta Biomaterialia (5 papers)Cell Biochemistry and Function (4 papers)International Journal of Nanomedicine (3 papers)Regenerative Medicine (3 papers)Bioengineering & Translational Medicine (3 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Wei Fu
104 papers receiving 3.0k citations
Wei Fu's Hit Papers
Peers
Comparison fields: 5 of 149
- Biomaterials 913
- Rheumatology 546
- Urology 181
- Genetics 277
- Surgery 848
Countries citing papers authored by Wei Fu
This map shows the geographic impact of Wei Fu'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 Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fu more than expected).
Fields of papers citing papers by Wei Fu
This network shows the impact of papers produced by Wei Fu. 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 Fu. The network helps show where Wei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Fu, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The immune microenvironment in cartilage injury and repair Hit paper breakdown → | 2021 | 286 |
| 2 | 2014 | 204 | |
| 3 | 2021 | 152 | |
| 4 | 2017 | 119 | |
| 5 | 2020 | 101 | |
| 6 | 2021 | 88 | |
| 7 | 2021 | 85 | |
| 8 | 2014 | 84 | |
| 9 | 2018 | 77 | |
| 10 | 2018 | 70 | |
| 11 | 2020 | 68 | |
| 12 | 2015 | 63 | |
| 13 | 2019 | 62 | |
| 14 | 2023 | 57 | |
| 15 | 2021 | 55 | |
| 16 | 2020 | 54 | |
| 17 | 2016 | 53 | |
| 18 | 2019 | 50 | |
| 19 | 2014 | 50 | |
| 20 | 2020 | 50 |
About Wei Fu
Wei Fu is a scholar working on Molecular Biology, Biomaterials, Surgery, Genetics and Biomedical Engineering, having authored 105 papers that have together received 3.0k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (25 papers), Tissue Engineering and Regenerative Medicine (20 papers), Osteoarthritis Treatment and Mechanisms (11 papers), Mesenchymal stem cell research (11 papers), RNA Interference and Gene Delivery (9 papers), Tracheal and airway disorders (8 papers), Bone Tissue Engineering Materials (6 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Biomaterials (913 citations), Rheumatology (546 citations), Urology (181 citations), Genetics (277 citations) and Surgery (848 citations). Wei Fu has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Bei Feng, Xiaomin He, Meng Yin, Shuyun Liu, Guangzhao Tian, Shuangpeng Jiang, Quanyi Guo, Xiang Sui, Jinghao Zheng and Huijing Wang. Their work appears in journals such as Acta Biomaterialia, Cell Biochemistry and Function, International Journal of Nanomedicine, Regenerative Medicine and Bioengineering & Translational Medicine.
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.