Takuya Isono
Impact in
- Process Chemistry and Technology top 0.5%
- Carbon dioxide utilization in catalysis
- Biomaterials top 0.5%
- biodegradable polymer synthesis and properties
Papers in
- Biomaterials 75
- biodegradable polymer synthesis and properties 48
- Supramolecular Self-Assembly in Materials 16
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- Advanced Polymer Synthesis and Characterization 55
- Synthetic Organic Chemistry Methods 19
- Co-authors
- Toshifumi Satoh (159 shared papers)Kenji Tajima (80 shared papers)Takuya Yamamoto (72 shared papers)Toyoji Kakuchi (25 shared papers)Rédouane Borsali (30 shared papers)Wen‐Chang Chen (19 shared papers)Yusuke Satoh (18 shared papers)Brian J. Ree (23 shared papers)
In The Last Decade
Takuya Isono
154 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 106
- Process Chemistry and Technology 583
- Biomaterials 1.4k
- Polymers and Plastics 1.0k
- Organic Chemistry 1.5k
- Surfaces, Coatings and Films 226
Countries citing papers authored by Takuya Isono
This map shows the geographic impact of Takuya Isono'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 Takuya Isono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuya Isono more than expected).
Fields of papers citing papers by Takuya Isono
This network shows the impact of papers produced by Takuya Isono. 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 Takuya Isono. The network helps show where Takuya Isono may publish in the future.
Co-authors
The 25 scholars most cited alongside Takuya Isono, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2020 | 106 | |
| 3 | 2013 | 102 | |
| 4 | 2017 | 97 | |
| 5 | 2013 | 93 | |
| 6 | 2018 | 84 | |
| 7 | 2014 | 76 | |
| 8 | 2021 | 72 | |
| 9 | 2015 | 59 | |
| 10 | 2022 | 59 | |
| 11 | 2013 | 58 | |
| 12 | 2013 | 56 | |
| 13 | 2012 | 56 | |
| 14 | 2022 | 55 | |
| 15 | 2016 | 54 | |
| 16 | 2021 | 52 | |
| 17 | 2015 | 52 | |
| 18 | 2014 | 49 | |
| 19 | 2016 | 46 | |
| 20 | 2016 | 44 |
About Takuya Isono
Takuya Isono is a scholar working on Biomaterials, Organic Chemistry, Polymers and Plastics, Process Chemistry and Technology and Materials Chemistry, having authored 165 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (55 papers), biodegradable polymer synthesis and properties (48 papers), Block Copolymer Self-Assembly (30 papers), Conducting polymers and applications (22 papers), Carbon dioxide utilization in catalysis (21 papers), Synthetic Organic Chemistry Methods (19 papers), Supramolecular Self-Assembly in Materials (16 papers) and Organic Electronics and Photovoltaics (15 papers). The work is most often cited by research in Process Chemistry and Technology (583 citations), Biomaterials (1.4k citations), Polymers and Plastics (1.0k citations), Organic Chemistry (1.5k citations) and Surfaces, Coatings and Films (226 citations). Takuya Isono has collaborated with scholars based in Japan, Taiwan and France. Frequent co-authors include Toshifumi Satoh, Kenji Tajima, Takuya Yamamoto, Toyoji Kakuchi, Rédouane Borsali, Wen‐Chang Chen, Yusuke Satoh, Brian J. Ree, Shin‐ichiro Sato and Issei Otsuka. Their work appears in journals such as Macromolecules, Polymer Chemistry, Carbohydrate Polymers, Polymers and Polymer Journal.
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.