Yuya Nishimura
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
Papers in
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- RNA Interference and Gene Delivery 6
- Protein purification and stability 3
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- Nanoplatforms for cancer theranostics 12
- Co-authors
- Akihiko Kondo (18 shared papers)Jun Ishii (12 shared papers)Chiaki Ogino (14 shared papers)Yuji Ikegaya (10 shared papers)Chiaki Ogino (8 shared papers)Kenta Morita (12 shared papers)Ryohei Sasaki (10 shared papers)Hiroaki Akasaka (7 shared papers)
- Journals
- Journal of Nanobiotechnology (3 papers)Scientific Reports (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)ACS Applied Nano Materials (2 papers)Neuroscience Research (1 paper)
- Partner nations
- JapanUnited KingdomAustralia
In The Last Decade
Yuya Nishimura
45 papers receiving 683 citations
Peers
Comparison fields: 5 of 91
- Biomaterials 117
- Biomedical Engineering 236
- Molecular Biology 270
- Biotechnology 28
- Cellular and Molecular Neuroscience 56
Countries citing papers authored by Yuya Nishimura
This map shows the geographic impact of Yuya Nishimura'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 Yuya Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuya Nishimura more than expected).
Fields of papers citing papers by Yuya Nishimura
This network shows the impact of papers produced by Yuya Nishimura. 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 Yuya Nishimura. The network helps show where Yuya Nishimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuya Nishimura, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2014 | 54 | |
| 3 | 2016 | 49 | |
| 4 | 2013 | 33 | |
| 5 | 2018 | 28 | |
| 6 | 2022 | 25 | |
| 7 | 2016 | 25 | |
| 8 | 2016 | 23 | |
| 9 | 2010 | 22 | |
| 10 | 2017 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2018 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2020 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2018 | 15 | |
| 20 | 2020 | 15 |
About Yuya Nishimura
Yuya Nishimura is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience and Biomaterials, having authored 47 papers that have together received 687 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Radiation Therapy and Dosimetry (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Nanoparticle-Based Drug Delivery (6 papers), RNA Interference and Gene Delivery (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Neural dynamics and brain function (4 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Biomaterials (117 citations), Biomedical Engineering (236 citations), Molecular Biology (270 citations), Biotechnology (28 citations) and Cellular and Molecular Neuroscience (56 citations). Yuya Nishimura has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Akihiko Kondo, Jun Ishii, Chiaki Ogino, Yuji Ikegaya, Chiaki Ogino, Kenta Morita, Ryohei Sasaki, Hiroaki Akasaka, Takuya Sasaki and Masao Nakayama. Their work appears in journals such as Journal of Nanobiotechnology, Scientific Reports, Bioorganic & Medicinal Chemistry Letters, ACS Applied Nano Materials and Neuroscience Research.
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.