Maito Koga
Impact in
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- Synthesis and properties of polymers
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- Liquid Crystal Research Advancements
Papers in
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- Block Copolymer Self-Assembly 8
- Machine Learning in Materials Science 3
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- Liquid Crystal Research Advancements 8
- Co-authors
- Masatoshi Tokita (15 shared papers)Sungmin Kang (8 shared papers)Junji Watanabe (6 shared papers)Shuichi Osanai (5 shared papers)Koichi Sakajiri (5 shared papers)Shigesaburo Ogawa (5 shared papers)Kazunori Satō (5 shared papers)Hideyuki Shinzawa (5 shared papers)
- Journals
- Macromolecules (4 papers)Macromolecular Chemistry and Physics (3 papers)Polymer (2 papers)Polymer Chemistry (1 paper)Membranes (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Maito Koga
35 papers receiving 323 citations
Peers
Comparison fields: 5 of 69
- Polymers and Plastics 74
- Electronic, Optical and Magnetic Materials 73
- Renewable Energy, Sustainability and the Environment 43
- Organic Chemistry 73
- Surfaces, Coatings and Films 17
Countries citing papers authored by Maito Koga
This map shows the geographic impact of Maito Koga'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 Maito Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maito Koga more than expected).
Fields of papers citing papers by Maito Koga
This network shows the impact of papers produced by Maito Koga. 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 Maito Koga. The network helps show where Maito Koga may publish in the future.
Co-authors
The 25 scholars most cited alongside Maito Koga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 31 | |
| 2 | 2011 | 26 | |
| 3 | 2009 | 23 | |
| 4 | 2015 | 22 | |
| 5 | 2024 | 22 | |
| 6 | 2012 | 21 | |
| 7 | 2014 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2013 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2015 | 12 | |
| 12 | 2013 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 6 |
About Maito Koga
Maito Koga is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Organic Chemistry, Polymers and Plastics and Electrical and Electronic Engineering, having authored 35 papers that have together received 329 indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (8 papers), Block Copolymer Self-Assembly (8 papers), Surfactants and Colloidal Systems (6 papers), Electrocatalysts for Energy Conversion (4 papers), Fuel Cells and Related Materials (3 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), biodegradable polymer synthesis and properties (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Polymers and Plastics (74 citations), Electronic, Optical and Magnetic Materials (73 citations), Renewable Energy, Sustainability and the Environment (43 citations), Organic Chemistry (73 citations) and Surfaces, Coatings and Films (17 citations). Maito Koga has collaborated with scholars based in Japan and United States. Frequent co-authors include Masatoshi Tokita, Sungmin Kang, Junji Watanabe, Shuichi Osanai, Koichi Sakajiri, Shigesaburo Ogawa, Kazunori Satō, Hideyuki Shinzawa, Ryohei Ishige and Kazuhiko Shinohara. Their work appears in journals such as Macromolecules, Macromolecular Chemistry and Physics, Polymer, Polymer Chemistry and Membranes.
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.