Akira Sato
- Toxicology top 5%
- Physiology top 10%
-
- Advanced DC-DC Converters 9
- Multilevel Inverters and Converters 8
- Silicon Carbide Semiconductor Technologies 4
-
- Liver Disease Diagnosis and Treatment 6
-
- Microgrid Control and Optimization 4
- Adaptive Control of Nonlinear Systems 3
-
- Hepatitis C virus research 4
-
- Streptococcal Infections and Treatments 3
- Co-authors
- Masami KanekoKazuyuki IwahashiKoji YamadaChikara MurakataHiroshi KaseMitsuru TakahashiYuzuru MatsudaSatoshi Nakanishi
- Journals
- SHILAP Revista de lepidopterología (1 paper)Cancer Research (1 paper)Journal of Computational Physics (1 paper)
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Akira Sato
67 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 290
- Toxicology 53
- Physiology 45
- Molecular Biology 649
- Developmental Neuroscience 33
Countries citing papers authored by Akira Sato
This map shows the geographic impact of Akira Sato'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 Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Sato more than expected).
Fields of papers citing papers by Akira Sato
This network shows the impact of papers produced by Akira Sato. 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 Sato. The network helps show where Akira Sato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Sato, 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 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 2 | |
| 4 | An Experiment of Laughter for Cancer Patients using Manzai Robots. | 2019 | 1 |
| 5 | 2018 | 2 | |
| 6 | 2016 | 3 | |
| 7 | Direct power control based indirect AC to AC power conversion system | 2009 | 4 |
| 8 | 2006 | 3 | |
| 9 | 2006 | 4 | |
| 10 | 2004 | 0 | |
| 11 | 2003 | 9 | |
| 12 | Sociogram Analysis Applying Fuzzy Node Fuzzy Graph | 2000 | 1 |
| 13 | 1998 | 1 | |
| 14 | 1998 | 9 | |
| 15 | 1993 | 21 | |
| 16 | 1993 | 13 | |
| 17 | Maize Production under an Intercropping System with Fast-Growing Tree Species : A case in the Philippines | 1991 | 2 |
| 18 | 1991 | 17 | |
| 19 | Coppice growth of some tropical tree species in Mindanao Island, the Philippines. | 1990 | 1 |
| 20 | 1985 | 1 |
About Akira Sato
Akira Sato is a scholar working on Hepatology, Toxicology and Developmental Biology, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (9 papers), Multilevel Inverters and Converters (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Microgrid Control and Optimization (4 papers), Hepatitis C virus research (4 papers), Silicon Carbide Semiconductor Technologies (4 papers), Adaptive Control of Nonlinear Systems (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (290 citations), Toxicology (53 citations) and Physiology (45 citations). Akira Sato has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Masami Kaneko, Kazuyuki Iwahashi, Koji Yamada, Chikara Murakata, Hiroshi Kase, Mitsuru Takahashi, Yuzuru Matsuda, Satoshi Nakanishi, Toshihiko Noguchi and Kazuo Fujita. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Journal of Computational Physics.
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.