Bin Wang
Impact in
Papers in
-
- Pluripotent Stem Cells Research 9
- Surgery 44
- Tissue Engineering and Regenerative Medicine 17
- Co-authors
- Wayne Lee (17 shared papers)Gang Li (29 shared papers)Jianwu Dai (9 shared papers)Chenghai Li (4 shared papers)Bing Chen (7 shared papers)Tianyi Wu (9 shared papers)Hua Zhao (3 shared papers)Jinfang Zhang (10 shared papers)
- Journals
- Biomaterials (7 papers)Journal of Orthopaedic Translation (6 papers)Stem Cell Research & Therapy (5 papers)Applied Biochemistry and Biotechnology (4 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bin Wang
175 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 144
- Genetics 1.1k
- Urology 366
- Biomaterials 616
- Cancer Research 636
- Developmental Neuroscience 157
Countries citing papers authored by Bin Wang
This map shows the geographic impact of Bin 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 Bin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Wang more than expected).
Fields of papers citing papers by Bin Wang
This network shows the impact of papers produced by Bin 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 Bin Wang. The network helps show where Bin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 375 | |
| 2 | 2019 | 211 | |
| 3 | 2017 | 157 | |
| 4 | 2007 | 153 | |
| 5 | 2006 | 147 | |
| 6 | 2021 | 113 | |
| 7 | 2011 | 99 | |
| 8 | 2021 | 98 | |
| 9 | 2018 | 96 | |
| 10 | 2020 | 83 | |
| 11 | 2016 | 79 | |
| 12 | 2017 | 78 | |
| 13 | 2018 | 71 | |
| 14 | 2015 | 69 | |
| 15 | 2021 | 66 | |
| 16 | 2017 | 66 | |
| 17 | 2007 | 65 | |
| 18 | 2011 | 63 | |
| 19 | 2016 | 63 | |
| 20 | 2015 | 61 |
About Bin Wang
Bin Wang is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Biomaterials, having authored 181 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (34 papers), Tissue Engineering and Regenerative Medicine (17 papers), Tendon Structure and Treatment (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Osteoarthritis Treatment and Mechanisms (9 papers), Pluripotent Stem Cells Research (9 papers), Periodontal Regeneration and Treatments (8 papers) and Bone Tissue Engineering Materials (8 papers). The work is most often cited by research in Genetics (1.1k citations), Urology (366 citations), Biomaterials (616 citations), Cancer Research (636 citations) and Developmental Neuroscience (157 citations). Bin Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wayne Lee, Gang Li, Jianwu Dai, Chenghai Li, Bing Chen, Tianyi Wu, Hua Zhao, Jinfang Zhang, Sien Lin and Zhifeng Xiao. Their work appears in journals such as Biomaterials, Journal of Orthopaedic Translation, Stem Cell Research & Therapy, Applied Biochemistry and Biotechnology and Scientific Reports.
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.