Akira Kai
Impact in
- Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals
- Biomaterials top 5%
- Advanced Cellulose Research Studies
Papers in
- Biomaterials 32
- Advanced Cellulose Research Studies 32
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- Biofuel production and bioconversion 16
- Co-authors
- Tetsuo Shoji (10 shared papers)Zhanpeng Lu (6 shared papers)Yoichi Takeda (6 shared papers)Yuzuru Ito (4 shared papers)Md. Ibrahim H. Mondal (5 shared papers)Sherif M. A. S. Keshk (2 shared papers)Ping Xu (3 shared papers)Kei Matsuzaki (5 shared papers)
- Journals
- Polymer Journal (9 papers)Bulletin of the Chemical Society of Japan (4 papers)Journal of Applied Polymer Science (3 papers)Chemistry Letters (3 papers)Carbohydrate Polymers (3 papers)
- Partner nations
- JapanCanadaBangladesh
In The Last Decade
Akira Kai
47 papers receiving 483 citations
Peers
Comparison fields: 5 of 55
- Metals and Alloys 142
- Biomaterials 263
- Biotechnology 107
- Plant Science 153
- Biomedical Engineering 162
Countries citing papers authored by Akira Kai
This map shows the geographic impact of Akira Kai'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 Akira Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Kai more than expected).
Fields of papers citing papers by Akira Kai
This network shows the impact of papers produced by Akira Kai. 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 Akira Kai. The network helps show where Akira Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Akira Kai, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 75 | |
| 2 | 2007 | 42 | |
| 3 | 1984 | 24 | |
| 4 | 2007 | 23 | |
| 5 | 1985 | 21 | |
| 6 | 1997 | 19 | |
| 7 | 1994 | 18 | |
| 8 | 1993 | 17 | |
| 9 | 1994 | 17 | |
| 10 | 1993 | 17 | |
| 11 | 1984 | 17 | |
| 12 | 1998 | 16 | |
| 13 | 1989 | 14 | |
| 14 | 1990 | 13 | |
| 15 | 2008 | 13 | |
| 16 | 1991 | 11 | |
| 17 | 1985 | 10 | |
| 18 | 1998 | 10 | |
| 19 | 2003 | 9 | |
| 20 | 1999 | 9 |
About Akira Kai
Akira Kai is a scholar working on Biomaterials, Biomedical Engineering, Biotechnology, Metals and Alloys and Mechanical Engineering, having authored 51 papers that have together received 516 indexed citations. Recurring topics across this work include Advanced Cellulose Research Studies (32 papers), Biofuel production and bioconversion (16 papers), Hydrogen embrittlement and corrosion behaviors in metals (9 papers), Microbial Metabolism and Applications (7 papers), Enzyme Production and Characterization (7 papers), Enzyme-mediated dye degradation (6 papers), Dyeing and Modifying Textile Fibers (6 papers) and Corrosion Behavior and Inhibition (3 papers). The work is most often cited by research in Metals and Alloys (142 citations), Biomaterials (263 citations), Biotechnology (107 citations), Plant Science (153 citations) and Biomedical Engineering (162 citations). Akira Kai has collaborated with scholars based in Japan, Canada and Bangladesh. Frequent co-authors include Tetsuo Shoji, Zhanpeng Lu, Yoichi Takeda, Yuzuru Ito, Md. Ibrahim H. Mondal, Sherif M. A. S. Keshk, Ping Xu, Kei Matsuzaki, Yutaro Kaneko and Kenichi Hatanaka. Their work appears in journals such as Polymer Journal, Bulletin of the Chemical Society of Japan, Journal of Applied Polymer Science, Chemistry Letters and Carbohydrate Polymers.
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.