Seisuke Arai
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 10%
Papers in
-
- Fungal and yeast genetics research 3
- Lipid Membrane Structure and Behavior 2
- Cell Biology 12
- Cellular transport and secretion 10
- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Ikuo Wada (15 shared papers)Kiyotaka Hatsuzawa (4 shared papers)Hitoshi Hashimoto (4 shared papers)Takayuki Sugiura (3 shared papers)Keizo Waku (1 shared paper)Koji Yoda (3 shared papers)Yoichi Noda (3 shared papers)Taku Tamura (2 shared papers)
- Journals
- Molecular Biology of the Cell (3 papers)Journal of Biological Chemistry (3 papers)The Journal of General and Applied Microbiology (2 papers)Bioscience Biotechnology and Biochemistry (2 papers)Surface Science (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Seisuke Arai
23 papers receiving 402 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 127
- Physiology 32
- Toxicology 11
- Pharmacology 53
- Molecular Biology 205
Countries citing papers authored by Seisuke Arai
This map shows the geographic impact of Seisuke 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 Seisuke Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seisuke Arai more than expected).
Fields of papers citing papers by Seisuke Arai
This network shows the impact of papers produced by Seisuke 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 Seisuke Arai. The network helps show where Seisuke Arai may publish in the future.
Co-authors
The 25 scholars most cited alongside Seisuke 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 53 | |
| 2 | 2012 | 53 | |
| 3 | 2008 | 45 | |
| 4 | 2009 | 37 | |
| 5 | 2012 | 34 | |
| 6 | 2014 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 1999 | 19 | |
| 9 | 1999 | 17 | |
| 10 | 2006 | 13 | |
| 11 | 2013 | 13 | |
| 12 | 2011 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2016 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2018 | 9 | |
| 17 | 2008 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2022 | 2 |
About Seisuke Arai
Seisuke Arai is a scholar working on Molecular Biology, Cell Biology, Physiology, Physiology and Biotechnology, having authored 23 papers that have together received 403 indexed citations. Recurring topics across this work include Cellular transport and secretion (10 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Magnetic and Electromagnetic Effects (3 papers), Fungal and yeast genetics research (3 papers), Microbial Inactivation Methods (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Pancreatic function and diabetes (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cell Biology (127 citations), Physiology (32 citations), Toxicology (11 citations), Pharmacology (53 citations) and Molecular Biology (205 citations). Seisuke Arai has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ikuo Wada, Kiyotaka Hatsuzawa, Hitoshi Hashimoto, Takayuki Sugiura, Keizo Waku, Koji Yoda, Yoichi Noda, Taku Tamura, K. Kushida and Azusa N. Hattori. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, The Journal of General and Applied Microbiology, Bioscience Biotechnology and Biochemistry and Surface Science.
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.