Daiki Funamoto
Impact in
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- Nanoparticle-Based Drug Delivery
- Electrospun Nanofibers in Biomedical Applications
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- Cardiac Ischemia and Reperfusion
Papers in
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- Advanced biosensing and bioanalysis techniques 4
- RNA Interference and Gene Delivery 4
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- Cardiac Ischemia and Reperfusion 3
- Co-authors
- Kensuke Egashira (4 shared papers)Kaku Nakano (4 shared papers)Tetsuya Matoba (4 shared papers)Kazuhiro Nagaoka (2 shared papers)Kenji Sunagawa (2 shared papers)Ayako Ishikita (2 shared papers)Gentaro Ikeda (2 shared papers)Jun‐ichiro Koga (3 shared papers)
- Journals
- Journal of Biomaterials Science Polymer Edition (3 papers)Scientific Reports (2 papers)Macromolecular Bioscience (2 papers)MedChemComm (2 papers)Cardiovascular Research (1 paper)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
Daiki Funamoto
14 papers receiving 340 citations
Peers
Comparison fields: 5 of 67
- Biomaterials 70
- Pathology and Forensic Medicine 95
- Developmental Neuroscience 21
- Molecular Medicine 14
- Pharmaceutical Science 16
Countries citing papers authored by Daiki Funamoto
This map shows the geographic impact of Daiki Funamoto'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 Daiki Funamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Funamoto more than expected).
Fields of papers citing papers by Daiki Funamoto
This network shows the impact of papers produced by Daiki Funamoto. 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 Daiki Funamoto. The network helps show where Daiki Funamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiki Funamoto, 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 | 2016 | 92 | |
| 2 | 2016 | 89 | |
| 3 | 2019 | 66 | |
| 4 | 2013 | 19 | |
| 5 | 2018 | 16 | |
| 6 | 2014 | 13 | |
| 7 | 2017 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2013 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2015 | 2 |
About Daiki Funamoto
Daiki Funamoto is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Oncology and Genetics, having authored 14 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Virus-based gene therapy research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Biomaterials (70 citations), Pathology and Forensic Medicine (95 citations), Developmental Neuroscience (21 citations), Molecular Medicine (14 citations) and Pharmaceutical Science (16 citations). Daiki Funamoto has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Kensuke Egashira, Kaku Nakano, Tetsuya Matoba, Kazuhiro Nagaoka, Kenji Sunagawa, Ayako Ishikita, Gentaro Ikeda, Jun‐ichiro Koga, Hiroyuki Tsutsui and Masaki Fujiwara. Their work appears in journals such as Journal of Biomaterials Science Polymer Edition, Scientific Reports, Macromolecular Bioscience, MedChemComm and Cardiovascular 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.