Yu Wang
Impact in
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications
- Genetics top 0.5%
- Mesenchymal stem cell research
Papers in
- Surgery 99
- Tissue Engineering and Regenerative Medicine 35
-
- Nerve injury and regeneration 57
- Co-authors
- Jiang Peng (103 shared papers)Shibi Lu (66 shared papers)Haoye Meng (41 shared papers)Wenjing Xu (27 shared papers)Quanyi Guo (33 shared papers)Shuyun Liu (31 shared papers)Quanyi Guo (24 shared papers)Xun Sun (16 shared papers)
- Journals
- Scientific Reports (9 papers)Journal of Orthopaedic Translation (7 papers)Medicine (7 papers)Stem Cell Research & Therapy (5 papers)Biomaterials (5 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yu Wang
430 papers receiving 9.8k citations
Peers
Comparison fields: 5 of 172
- Biomaterials 1.7k
- Genetics 1.0k
- Rheumatology 1.3k
- Cellular and Molecular Neuroscience 1.7k
- Urology 467
Countries citing papers authored by Yu Wang
This map shows the geographic impact of Yu Wang'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 Yu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Wang more than expected).
Fields of papers citing papers by Yu Wang
This network shows the impact of papers produced by Yu Wang. 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 Yu Wang. The network helps show where Yu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Wang, 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 456 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 302 | |
| 2 | 2013 | 267 | |
| 3 | 2014 | 243 | |
| 4 | 2019 | 209 | |
| 5 | 2015 | 202 | |
| 6 | 2017 | 164 | |
| 7 | 2016 | 153 | |
| 8 | 2013 | 122 | |
| 9 | 2018 | 117 | |
| 10 | 2010 | 113 | |
| 11 | 2012 | 112 | |
| 12 | 2017 | 107 | |
| 13 | 2016 | 104 | |
| 14 | 2020 | 103 | |
| 15 | 2015 | 100 | |
| 16 | 2018 | 99 | |
| 17 | 2012 | 95 | |
| 18 | 2015 | 91 | |
| 19 | 2017 | 89 | |
| 20 | 2015 | 89 |
About Yu Wang
Yu Wang is a scholar working on Surgery, Cellular and Molecular Neuroscience, Molecular Biology, Biomaterials and Rheumatology, having authored 456 papers that have together received 10.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (57 papers), Electrospun Nanofibers in Biomedical Applications (44 papers), Tissue Engineering and Regenerative Medicine (35 papers), Mesenchymal stem cell research (34 papers), Osteoarthritis Treatment and Mechanisms (30 papers), Bone Tissue Engineering Materials (23 papers), Spinal Cord Injury Research (18 papers) and Silk-based biomaterials and applications (14 papers). The work is most often cited by research in Biomaterials (1.7k citations), Genetics (1.0k citations), Rheumatology (1.3k citations), Cellular and Molecular Neuroscience (1.7k citations) and Urology (467 citations). Yu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiang Peng, Shibi Lu, Haoye Meng, Wenjing Xu, Quanyi Guo, Shuyun Liu, Quanyi Guo, Xun Sun, Jingxiang Huang and Wenlong Gou. Their work appears in journals such as Scientific Reports, Journal of Orthopaedic Translation, Medicine, Stem Cell Research & Therapy and Biomaterials.
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.