Benjamin M. Wu
- Biomaterials top 0.1%
- Electrospun Nanofibers in Biomedical Applications 42
- Urology top 0.2%
- Genetics top 0.2%
- Mesenchymal stem cell research 36
- Biomedical Engineering top 0.1%
- Bone Tissue Engineering Materials 60
- 3D Printing in Biomedical Research 39
- Biosensors and Analytical Detection 16
- Automotive Engineering top 0.2%
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- Tissue Engineering and Regenerative Medicine 37
- Orthopaedic implants and arthroplasty 15
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- TGF-β signaling in diseases 15
- Cited by
- BiomaterialsUrologyGenetics
- Journals
- Biomaterials (17 papers)Tissue Engineering Part A (16 papers)Journal of Pediatric Surgery (14 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Benjamin M. Wu
304 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Biomaterials 3.9k
- Urology 1.4k
- Genetics 2.2k
- Biomedical Engineering 7.6k
- Automotive Engineering 1.8k
Countries citing papers authored by Benjamin M. Wu
This map shows the geographic impact of Benjamin M. 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 Benjamin M. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin M. Wu more than expected).
Fields of papers citing papers by Benjamin M. Wu
This network shows the impact of papers produced by Benjamin M. 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 Benjamin M. Wu. The network helps show where Benjamin M. Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin M. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 83 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 28 | |
| 12 | 2019 | 2 | |
| 13 | 2018 | 14 | |
| 14 | 2016 | 19 | |
| 15 | 2015 | 96 | |
| 16 | 2014 | 73 | |
| 17 | 2014 | 45 | |
| 18 | 2010 | 51 | |
| 19 | 2009 | 145 | |
| 20 | 2006 | 102 |
About Benjamin M. Wu
Benjamin M. Wu is a scholar working on Biomaterials, Orthodontics, Genetics, Biomedical Engineering and Urology, having authored 309 papers that have together received 16.1k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (60 papers), Electrospun Nanofibers in Biomedical Applications (42 papers), 3D Printing in Biomedical Research (39 papers), Tissue Engineering and Regenerative Medicine (37 papers), Mesenchymal stem cell research (36 papers), Biosensors and Analytical Detection (16 papers), TGF-β signaling in diseases (15 papers) and Orthopaedic implants and arthroplasty (15 papers). The work is most often cited by research in Biomaterials (3.9k citations), Urology (1.4k citations), Genetics (2.2k citations), Biomedical Engineering (7.6k citations) and Automotive Engineering (1.8k citations). Benjamin M. Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Helena N. Chia, Min Lee, James Dunn, Yu‐Fen Chou, Chia Soo, Kang Ting, Chase S. Linsley, Bill Tawil, Xinli Zhang and Tara Aghaloo. Their work appears in journals such as Biomaterials, Tissue Engineering Part A, Journal of Pediatric Surgery, Tissue Engineering and Journal of Biomedical Materials Research Part A.
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.