Masamune Morita
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials 9
- Biochemistry top 10%
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- Lipid Membrane Structure and Behavior 19
- Advanced biosensing and bioanalysis techniques 7
- RNA Interference and Gene Delivery 4
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- Innovative Microfluidic and Catalytic Techniques Innovation 7
- Nanopore and Nanochannel Transport Studies 5
- Microfluidic and Capillary Electrophoresis Applications 4
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- Alzheimer's disease research and treatments 6
- Co-authors
- Masahiro TakagiTsutomu HamadaMun’delanji C. VestergaardMasahiro TakinoueTsuyoshi YodaKei FujiwaraMiho YanagisawaShin‐ichiro M. Nomura
In The Last Decade
Masamune Morita
35 papers receiving 879 citations
Peers
Comparison fields: 5 of 88
- Biomaterials 163
- Biochemistry 60
- Molecular Biology 573
- Biomedical Engineering 235
- Physiology 116
Countries citing papers authored by Masamune Morita
This map shows the geographic impact of Masamune Morita'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 Masamune Morita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masamune Morita more than expected).
Fields of papers citing papers by Masamune Morita
This network shows the impact of papers produced by Masamune Morita. 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 Masamune Morita. The network helps show where Masamune Morita may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masamune Morita, 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 | 2024 | 6 | |
| 2 | 2023 | 9 | |
| 3 | 2021 | 5 | |
| 4 | Formation of DNA micro-skeleton structures in water-in-oil microdroplets | 2020 | 0 |
| 5 | 2019 | 1 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 4 | |
| 10 | 2017 | 118 | |
| 11 | 2016 | 8 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 109 | |
| 14 | 2014 | 20 | |
| 15 | 2013 | 38 | |
| 16 | 2013 | 46 | |
| 17 | 2010 | 27 | |
| 18 | 2010 | 31 | |
| 19 | 2009 | 41 | |
| 20 | 2009 | 1 |
About Masamune Morita
Masamune Morita is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering, having authored 36 papers that have together received 882 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (19 papers), Supramolecular Self-Assembly in Materials (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Alzheimer's disease research and treatments (6 papers), Nanopore and Nanochannel Transport Studies (5 papers), RNA Interference and Gene Delivery (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Biomaterials (163 citations), Biochemistry (60 citations) and Molecular Biology (573 citations). Masamune Morita has collaborated with scholars based in Japan and India. Frequent co-authors include Masahiro Takagi, Tsutomu Hamada, Mun’delanji C. Vestergaard, Masahiro Takinoue, Tsuyoshi Yoda, Kei Fujiwara, Miho Yanagisawa, Shin‐ichiro M. Nomura, Satoshi Murata and Naohiro Noda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.