Ibuki Kawamata
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- Advanced biosensing and bioanalysis techniques 34
- RNA Interference and Gene Delivery 18
- DNA and Biological Computing 12
- DNA and Nucleic Acid Chemistry 9
- Condensed Matter Physics top 10%
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- Bacteriophages and microbial interactions 12
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- Modular Robots and Swarm Intelligence 4
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- Cellular Automata and Applications 4
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- Dendrimers and Hyperbranched Polymers 3
- Co-authors
- Satoshi MurataShin‐ichiro M. NomuraYusuke SatoY. HiratsukaYuki SuzukiYoshihiro MurayamaMiho YanagisawaKatsuhiko Ariga
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Angewandte Chemie International Edition (1 paper)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ibuki Kawamata
37 papers receiving 638 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 494
- Biomaterials 87
- Condensed Matter Physics 70
- Biomedical Engineering 210
- Ecology 83
Countries citing papers authored by Ibuki Kawamata
This map shows the geographic impact of Ibuki Kawamata'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 Ibuki Kawamata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ibuki Kawamata more than expected).
Fields of papers citing papers by Ibuki Kawamata
This network shows the impact of papers produced by Ibuki Kawamata. 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 Ibuki Kawamata. The network helps show where Ibuki Kawamata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ibuki Kawamata, 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 | 2025 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 38 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 24 | |
| 15 | 2017 | 128 | |
| 16 | 2017 | 7 | |
| 17 | Universal totalistic asynchonous cellular automaton and its possible implementation by DNA | 2016 | 1 |
| 18 | Discrete DNA reaction-diffusion model for implementing simple cellular automaton | 2016 | 2 |
| 19 | 2016 | 4 | |
| 20 | Abstraction of DNA Graph Structures for Efficient Enumeration and Simulation | 2011 | 3 |
About Ibuki Kawamata
Ibuki Kawamata is a scholar working on Molecular Biology, Ecology and Computational Theory and Mathematics, having authored 39 papers that have together received 647 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (34 papers), RNA Interference and Gene Delivery (18 papers), Bacteriophages and microbial interactions (12 papers), DNA and Biological Computing (12 papers), DNA and Nucleic Acid Chemistry (9 papers), Modular Robots and Swarm Intelligence (4 papers), Cellular Automata and Applications (4 papers) and Dendrimers and Hyperbranched Polymers (3 papers). The work is most often cited by research in Molecular Biology (494 citations), Biomaterials (87 citations) and Condensed Matter Physics (70 citations). Ibuki Kawamata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Satoshi Murata, Shin‐ichiro M. Nomura, Yusuke Sato, Y. Hiratsuka, Yuki Suzuki, Yoshihiro Murayama, Miho Yanagisawa, Katsuhiko Ariga, Masamune Morita and Waka Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.