Atsushi Sakamoto
- Plant Science top 0.5%
- Plant Stress Responses and Tolerance 31
- Plant nutrient uptake and metabolism 16
- Plant responses to elevated CO2 11
- GABA and Rice Research 8
- Plant Molecular Biology Research 6
- Molecular Biology top 2%
- Photosynthetic Processes and Mechanisms 37
- Plant tissue culture and regeneration 19
- Biochemistry top 2%
- Biotechnology top 5%
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- Atmospheric chemistry and aerosols 6
- Co-authors
- Norio MurataN. MurataHiromichi MorikawaSuleyman I. AllakhverdievYoshitaka NishiyamaMasami InabaMisa TakahashiHiroshi Shimada
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Atsushi Sakamoto
166 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Plant Science 3.6k
- Molecular Biology 2.6k
- Biochemistry 182
- Renewable Energy, Sustainability and the Environment 307
- Biotechnology 164
Countries citing papers authored by Atsushi Sakamoto
This map shows the geographic impact of Atsushi Sakamoto'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 Atsushi Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Sakamoto more than expected).
Fields of papers citing papers by Atsushi Sakamoto
This network shows the impact of papers produced by Atsushi Sakamoto. 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 Atsushi Sakamoto. The network helps show where Atsushi Sakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Sakamoto, 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 | 0 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 118 | |
| 4 | 2015 | 22 | |
| 5 | Gain scheduled tracking control for spacecraft with model uncertainty | 2013 | 0 |
| 6 | 2013 | 6 | |
| 7 | 2012 | 8 | |
| 8 | 2011 | 0 | |
| 9 | 2011 | 0 | |
| 10 | 2009 | 14 | |
| 11 | 2009 | 49 | |
| 12 | 2008 | 1 | |
| 13 | 2008 | 17 | |
| 14 | 2007 | 55 | |
| 15 | 2006 | 21 | |
| 16 | 2005 | 13 | |
| 17 | 2003 | 5 | |
| 18 | 2003 | 57 | |
| 19 | 1998 | 137 | |
| 20 | GENETIC ENGINEERING OF SALT TOLERANCE IN RICE | 1996 | 1 |
About Atsushi Sakamoto
Atsushi Sakamoto is a scholar working on Plant Science, Molecular Biology and Renewable Energy, Sustainability and the Environment, having authored 174 papers that have together received 6.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (37 papers), Plant Stress Responses and Tolerance (31 papers), Plant tissue culture and regeneration (19 papers), Plant nutrient uptake and metabolism (16 papers), Plant responses to elevated CO2 (11 papers), GABA and Rice Research (8 papers), Atmospheric chemistry and aerosols (6 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Plant Science (3.6k citations), Molecular Biology (2.6k citations) and Biochemistry (182 citations). Atsushi Sakamoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Norio Murata, N. Murata, Hiromichi Morikawa, Suleyman I. Allakhverdiev, Yoshitaka Nishiyama, Masami Inaba, Misa Takahashi, Hiroshi Shimada, Shunsuke Watanabe and Alia Alia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.