Tetsuya Sakurai
- Plant Science top 0.2%
- Molecular Biology top 1%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Cell Biology top 5%
- Co-authors
- Kazuo ShinozakiKenji AkiyamaMotoaki SekiMasakazu SatouMari NarusakaKazuko Yamaguchi‐ShinozakiAsako KamiyaJunko Ishida
- Topics
- Plant Molecular Biology Research (28 papers)Genomics and Phylogenetic Studies (19 papers)Photosynthetic Processes and Mechanisms (14 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tetsuya Sakurai
106 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Plant Science 5.4k
- Molecular Biology 5.0k
- Genetics 464
- Ecology, Evolution, Behavior and Systematics 229
- Cell Biology 218
Countries citing papers authored by Tetsuya Sakurai
This map shows the geographic impact of Tetsuya Sakurai'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 Tetsuya Sakurai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuya Sakurai more than expected).
Fields of papers citing papers by Tetsuya Sakurai
This network shows the impact of papers produced by Tetsuya Sakurai. 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 Tetsuya Sakurai. The network helps show where Tetsuya Sakurai may publish in the future.
Co-authorship network of co-authors of Tetsuya Sakurai
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Sakurai. A scholar is included among the top collaborators of Tetsuya Sakurai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tetsuya Sakurai. Tetsuya Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 49 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 25 | |
| 10 | 59 | |
| 11 | 29 | |
| 12 | 245 | |
| 13 | 33 | |
| 14 | 229 | |
| 15 | 452 | |
| 16 | [Arabidopsis functional genomics using full-length cDNAs]. | 1 |
| 17 | Functional Annotation of a Full-Length Arabidopsis cDNA Collectionbreakdown → | 514 |
| 18 | 8 | |
| 19 | Monitoring the expression profiles of 7000 Arabidopsis genes under drought, cold and high‐salinity stresses using a full‐length cDNA microarraybreakdown → | 1536 |
| 20 | Formalization and Parsing of Mathematical Expressions for Mathematical Computation | 1 |
About Tetsuya Sakurai
Tetsuya Sakurai is a scholar working on Plant Science, Molecular Biology and Health Informatics, having authored 112 papers that have together received 7.7k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (28 papers), Genomics and Phylogenetic Studies (19 papers) and Photosynthetic Processes and Mechanisms (14 papers). The work is most often cited by research in Plant Science (5.4k citations), Molecular Biology (5.0k citations) and Biochemistry (141 citations). Tetsuya Sakurai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuo Shinozaki, Kenji Akiyama, Motoaki Seki, Masakazu Satou, Mari Narusaka, Kazuko Yamaguchi‐Shinozaki, Asako Kamiya, Junko Ishida, Akiko Enju and Maiko Nakajima. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.
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.