Yu‐Wei Ge
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
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- Bone Tissue Engineering Materials
- Graphene and Nanomaterials Applications
- Nanoplatforms for cancer theranostics
Papers in
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- Bone Tissue Engineering Materials 12
- Graphene and Nanomaterials Applications 3
- Nanoplatforms for cancer theranostics 2
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- Bone Metabolism and Diseases 6
- Co-authors
- Yaping Guo (9 shared papers)Zhenan Zhu (6 shared papers)Qinfei Ke (6 shared papers)Xiaoliang Liu (3 shared papers)Kai Feng (4 shared papers)Jingwei Zhang (2 shared papers)Zhiqing Liu (2 shared papers)Yuanqing Mao (5 shared papers)
- Journals
- Journal of Nanobiotechnology (4 papers)Materials Today Bio (2 papers)Chemical Engineering Journal (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Bioactive Materials (1 paper)
- Partner nations
- ChinaNorth KoreaJapan
In The Last Decade
Yu‐Wei Ge
18 papers receiving 493 citations
Peers
Comparison fields: 5 of 93
- Biomaterials 103
- Biomedical Engineering 243
- Molecular Medicine 23
- Rheumatology 63
- Oral Surgery 27
Countries citing papers authored by Yu‐Wei Ge
This map shows the geographic impact of Yu‐Wei Ge'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‐Wei Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Wei Ge more than expected).
Fields of papers citing papers by Yu‐Wei Ge
This network shows the impact of papers produced by Yu‐Wei Ge. 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‐Wei Ge. The network helps show where Yu‐Wei Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Wei Ge, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 125 | |
| 2 | 2019 | 70 | |
| 3 | 2021 | 44 | |
| 4 | 2018 | 32 | |
| 5 | 2018 | 29 | |
| 6 | 2019 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 24 | |
| 9 | 2023 | 21 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2022 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Yu‐Wei Ge
Yu‐Wei Ge is a scholar working on Biomedical Engineering, Molecular Biology, Surgery, Biomaterials and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 497 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (12 papers), Bone Metabolism and Diseases (6 papers), Graphene and Nanomaterials Applications (3 papers), Nanoplatforms for cancer theranostics (2 papers), Bone health and treatments (2 papers), Biomarkers in Disease Mechanisms (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Biomaterials (103 citations), Biomedical Engineering (243 citations), Molecular Medicine (23 citations), Rheumatology (63 citations) and Oral Surgery (27 citations). Yu‐Wei Ge has collaborated with scholars based in China, North Korea and Japan. Frequent co-authors include Yaping Guo, Zhenan Zhu, Qinfei Ke, Xiaoliang Liu, Kai Feng, Jingwei Zhang, Zhiqing Liu, Yuanqing Mao, Fei Yang and Xiaodong Li. Their work appears in journals such as Journal of Nanobiotechnology, Materials Today Bio, Chemical Engineering Journal, Oxidative Medicine and Cellular Longevity and Bioactive Materials.
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.