Masaaki Kawata
- Structural Biology top 10%
- Advanced Electron Microscopy Techniques and Applications 5
- Electrochemistry top 10%
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- Spectroscopy and Quantum Chemical Studies 5
- Filtration and Separation top 10%
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- Enzyme Structure and Function 5
- Machine Learning in Materials Science 5
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- Nanopore and Nanochannel Transport Studies 3
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- Free Radicals and Antioxidants 3
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- Theoretical and Computational Physics 3
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- Bacteriophages and microbial interactions 3
- Co-authors
- Masuhiro MikamiUmpei NagashimaTsuneyasu OkabeYuko OkamotoSeiichiro Ten‐noFumio HirataShigekí KatoChikara Sato
- Journals
- Journal of the American Chemical Society (1 paper)Physical Review Letters (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Masaaki Kawata
29 papers receiving 746 citations
Peers
Comparison fields: 5 of 107
- Physical and Theoretical Chemistry 117
- Structural Biology 14
- Electrochemistry 47
- Atomic and Molecular Physics, and Optics 234
- Filtration and Separation 15
Countries citing papers authored by Masaaki Kawata
This map shows the geographic impact of Masaaki Kawata'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 Masaaki Kawata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Kawata more than expected).
Fields of papers citing papers by Masaaki Kawata
This network shows the impact of papers produced by Masaaki Kawata. 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 Masaaki Kawata. The network helps show where Masaaki Kawata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaaki Kawata, 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 | 1 | |
| 2 | 2021 | 32 | |
| 3 | 2018 | 1 | |
| 4 | 2014 | 18 | |
| 5 | 2014 | 2 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 4 | |
| 8 | 2012 | 1 | |
| 9 | 2010 | 2 | |
| 10 | 2007 | 3 | |
| 11 | 2002 | 11 | |
| 12 | 2002 | 30 | |
| 13 | 2001 | 25 | |
| 14 | 2001 | 184 | |
| 15 | 1999 | 8 | |
| 16 | 1996 | 41 | |
| 17 | 1995 | 18 | |
| 18 | Identification of Hard Bound on Model Uncertainty In Frequency Domain | 1993 | 2 |
| 19 | Surface structure and cell zonation in human omental milky spots. | 1990 | 10 |
| 20 | 1988 | 1 |
About Masaaki Kawata
Masaaki Kawata is a scholar working on Structural Biology, Filtration and Separation and Physical and Theoretical Chemistry, having authored 32 papers that have together received 767 indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (5 papers), Advanced Electron Microscopy Techniques and Applications (5 papers), Enzyme Structure and Function (5 papers), Machine Learning in Materials Science (5 papers), Nanopore and Nanochannel Transport Studies (3 papers), Free Radicals and Antioxidants (3 papers), Theoretical and Computational Physics (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Physical and Theoretical Chemistry (117 citations), Structural Biology (14 citations) and Electrochemistry (47 citations). Masaaki Kawata has collaborated with scholars based in Japan and United States. Frequent co-authors include Masuhiro Mikami, Umpei Nagashima, Tsuneyasu Okabe, Yuko Okamoto, Seiichiro Ten‐no, Fumio Hirata, Shigekí Kato, Chikara Sato, Richard A. Friesner and Christian M. Cortis. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters 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.