Akihiro Kawamoto
- Structural Biology top 5%
- Endocrinology top 5%
- Genetics top 10%
- Bacterial Genetics and Biotechnology 13
- Microbiology top 10%
- Ceramics and Composites top 10%
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- Photosynthetic Processes and Mechanisms 10
- ATP Synthase and ATPases Research 5
- Lipid Membrane Structure and Behavior 5
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- Bacteriophages and microbial interactions 9
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- Enzyme Structure and Function 6
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- Photoreceptor and optogenetics research 5
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- Crystallography and molecular interactions 5
- Co-authors
- Keiichi NambaTohru MinaminoTakayuki KatoYoshimi WatanabeYusuke V. MorimotoTomoko MiyataKatsumi ImadaHiroyuki Terashima
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Akihiro Kawamoto
50 papers receiving 891 citations
Peers
Comparison fields: 5 of 99
- Structural Biology 57
- Endocrinology 106
- Genetics 284
- Microbiology 53
- Ceramics and Composites 47
Countries citing papers authored by Akihiro Kawamoto
This map shows the geographic impact of Akihiro Kawamoto'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 Akihiro Kawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Kawamoto more than expected).
Fields of papers citing papers by Akihiro Kawamoto
This network shows the impact of papers produced by Akihiro Kawamoto. 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 Akihiro Kawamoto. The network helps show where Akihiro Kawamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akihiro Kawamoto, 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 | 2025 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 9 | |
| 17 | 2018 | 11 | |
| 18 | 2018 | 27 | |
| 19 | 2015 | 3 | |
| 20 | Optimization of Lateral Diffusion of Source and Drain for Sub-100-nm Channel Silicon-on-insulator MOSFETs | 2002 | 2 |
About Akihiro Kawamoto
Akihiro Kawamoto is a scholar working on Structural Biology, Parasitology and Physical and Theoretical Chemistry, having authored 53 papers that have together received 909 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Photosynthetic Processes and Mechanisms (10 papers), Bacteriophages and microbial interactions (9 papers), Enzyme Structure and Function (6 papers), Photoreceptor and optogenetics research (5 papers), ATP Synthase and ATPases Research (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Crystallography and molecular interactions (5 papers). The work is most often cited by research in Structural Biology (57 citations), Endocrinology (106 citations) and Genetics (284 citations). Akihiro Kawamoto has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Keiichi Namba, Tohru Minamino, Takayuki Kato, Yoshimi Watanabe, Yusuke V. Morimoto, Tomoko Miyata, Katsumi Imada, Hiroyuki Terashima, Kelly T. Hughes and Miki Kinoshita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.