Satoshi Arai
Impact in
- Structural Biology top 5%
- Biotechnology top 2%
- Enzyme Production and Characterization
Papers in
- Co-authors
- Madoka SuzukiYasufumi EmoriKeiko AbeShinji TakeokaYoung‐Tae ChangHirohito WatanabeH. KondoShin’ichi Ishiwata
- Journals
- ACS Nano (7 papers)Journal of Biological Chemistry (6 papers)Scientific Reports (4 papers)Biochemical and Biophysical Research Communications (4 papers)Chemical Communications (4 papers)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Satoshi Arai
150 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 165
- Structural Biology 59
- Biotechnology 315
- Biomaterials 282
- Cellular and Molecular Neuroscience 383
- Molecular Biology 1.4k
Countries citing papers authored by Satoshi Arai
This map shows the geographic impact of Satoshi Arai'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 Satoshi Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Arai more than expected).
Fields of papers citing papers by Satoshi Arai
This network shows the impact of papers produced by Satoshi Arai. 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 Satoshi Arai. The network helps show where Satoshi Arai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Satoshi Arai, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 2 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 24 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 6 | |
| 13 | Magnetostriction of grain oriented Si-Fe and its domain model | 2011 | 15 |
| 14 | Light delivery mechanics with Si-submount for terabit-class thermally-assisted magnetic recording | 2010 | 2 |
| 15 | 2001 | 1 | |
| 16 | 1998 | 6 | |
| 17 | 1.9 GHz Si Direct Conversion Receiver IC for QPSK Modulation Systems | 1996 | 16 |
| 18 | 1994 | 37 | |
| 19 | Reflection noise measurement of dynamic single mode lasers | 1986 | 2 |
| 20 | 1983 | 5 |
About Satoshi Arai
Satoshi Arai is a scholar working on Biotechnology, Cellular and Molecular Neuroscience, Biophysics, Biomaterials and Organic Chemistry, having authored 153 papers that have together received 4.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Mitochondrial Function and Pathology (11 papers), Magnetic Properties and Applications (10 papers), ATP Synthase and ATPases Research (9 papers), Microstructure and Mechanical Properties of Steels (9 papers), Porphyrin and Phthalocyanine Chemistry (8 papers), Phytase and its Applications (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Structural Biology (59 citations), Biotechnology (315 citations), Biomaterials (282 citations), Cellular and Molecular Neuroscience (383 citations) and Molecular Biology (1.4k citations). Satoshi Arai has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Madoka Suzuki, Yasufumi Emori, Keiko Abe, Shinji Takeoka, Young‐Tae Chang, Hirohito Watanabe, H. Kondo, Shin’ichi Ishiwata, Kyoko Suzuki and Makoto Shimizu. Their work appears in journals such as ACS Nano, Journal of Biological Chemistry, Scientific Reports, Biochemical and Biophysical Research Communications and Chemical Communications.
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.