Yuta Kurashina
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications 10
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research 31
- Microfluidic and Bio-sensing Technologies 17
- Advanced Sensor and Energy Harvesting Materials 5
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications 8
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- Tissue Engineering and Regenerative Medicine 10
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- Viral Infectious Diseases and Gene Expression in Insects 10
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- Virus-based gene therapy research 5
- Co-authors
- Kenjiro TakemuraHiroaki OnoeChikahiro ImashiroJames FriendKiichiro TotaniMakoto HiranoTakeshi KubotaKeita Ando
- Journals
- Scientific Reports (5 papers)Ultrasonics Sonochemistry (5 papers)Biotechnology and Bioengineering (3 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Yuta Kurashina
69 papers receiving 754 citations
Peers
Comparison fields: 5 of 98
- Biomaterials 152
- Biomedical Engineering 502
- Molecular Medicine 50
- Pharmaceutical Science 25
- Cellular and Molecular Neuroscience 61
Countries citing papers authored by Yuta Kurashina
This map shows the geographic impact of Yuta Kurashina'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 Yuta Kurashina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Kurashina more than expected).
Fields of papers citing papers by Yuta Kurashina
This network shows the impact of papers produced by Yuta Kurashina. 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 Yuta Kurashina. The network helps show where Yuta Kurashina may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuta Kurashina, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 34 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 19 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 31 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 10 | |
| 18 | 2017 | 61 | |
| 19 | 2014 | 12 | |
| 20 | 2007 | 1 |
About Yuta Kurashina
Yuta Kurashina is a scholar working on Molecular Medicine, Biomedical Engineering and Biomaterials, having authored 77 papers that have together received 770 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (31 papers), Microfluidic and Bio-sensing Technologies (17 papers), Tissue Engineering and Regenerative Medicine (10 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Hydrogels: synthesis, properties, applications (8 papers), Virus-based gene therapy research (5 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Biomaterials (152 citations), Biomedical Engineering (502 citations) and Molecular Medicine (50 citations). Yuta Kurashina has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Kenjiro Takemura, Hiroaki Onoe, Chikahiro Imashiro, James Friend, Kiichiro Totani, Makoto Hirano, Takeshi Kubota, Keita Ando, Jun Komotori and Shogo MIYATA. Their work appears in journals such as Scientific Reports, Ultrasonics Sonochemistry, Biotechnology and Bioengineering, Advanced Healthcare Materials and IEEE Transactions on Biomedical Engineering.
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.