Jun Sawada
Impact in
- Polymers and Plastics top 10%
- Polymer composites and self-healing
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
Papers in
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- Advanced Polymer Synthesis and Characterization 12
- Supramolecular Chemistry and Complexes 9
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- Silicone and Siloxane Chemistry 4
- Catalytic Processes in Materials Science 3
- Luminescence and Fluorescent Materials 2
- Co-authors
- Daisuke Aoki (10 shared papers)Toshikazu Takata (13 shared papers)Hideyuki Otsuka (6 shared papers)Toshikazu Takata (2 shared papers)Satoshi Uchida (1 shared paper)K. Nakajima (5 shared papers)Yosuke Akae (3 shared papers)Kazuko Nakazono (1 shared paper)
In The Last Decade
Jun Sawada
19 papers receiving 360 citations
Peers
Comparison fields: 5 of 34
- Polymers and Plastics 163
- Biomaterials 114
- Organic Chemistry 243
- Molecular Medicine 29
- Surfaces, Coatings and Films 27
Countries citing papers authored by Jun Sawada
This map shows the geographic impact of Jun Sawada'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 Jun Sawada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sawada more than expected).
Fields of papers citing papers by Jun Sawada
This network shows the impact of papers produced by Jun Sawada. 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 Jun Sawada. The network helps show where Jun Sawada may publish in the future.
Co-authors
The 23 scholars most cited alongside Jun Sawada, 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 | 2015 | 99 | |
| 2 | 2019 | 55 | |
| 3 | 2017 | 36 | |
| 4 | 2023 | 27 | |
| 5 | 2019 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2017 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2005 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2004 | 2 | |
| 18 | 2003 | 1 | |
| 19 | 2021 | 1 |
About Jun Sawada
Jun Sawada is a scholar working on Organic Chemistry, Materials Chemistry, Polymers and Plastics, Electrical and Electronic Engineering and Molecular Medicine, having authored 19 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (12 papers), Supramolecular Chemistry and Complexes (9 papers), Polymer composites and self-healing (5 papers), Silicone and Siloxane Chemistry (4 papers), Catalytic Processes in Materials Science (3 papers), Luminescence and Fluorescent Materials (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Surface Modification and Superhydrophobicity (2 papers). The work is most often cited by research in Polymers and Plastics (163 citations), Biomaterials (114 citations), Organic Chemistry (243 citations), Molecular Medicine (29 citations) and Surfaces, Coatings and Films (27 citations). Jun Sawada has collaborated with scholars based in Japan, Ireland and Germany. Frequent co-authors include Daisuke Aoki, Toshikazu Takata, Hideyuki Otsuka, Toshikazu Takata, Satoshi Uchida, K. Nakajima, Yosuke Akae, Kazuko Nakazono, Hiromitsu Sogawa and Daisuke Suzuki. Their work appears in journals such as Macromolecular Symposia, Polymer, Angewandte Chemie International Edition, Chemical Communications and Polymer Bulletin.
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.