Tetsuji Kakutani
- Plant Science top 0.1%
- Plant Molecular Biology Research 49
- Chromosomal and Genetic Variations 35
- Plant nutrient uptake and metabolism 20
- Legume Nitrogen Fixing Symbiosis 19
- Plant Virus Research Studies 13
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 13
- Genomics and Chromatin Dynamics 11
- Plant tissue culture and regeneration 7
- Endocrinology top 2%
- Genetics top 5%
- Horticulture top 10%
- Co-authors
- Asuka MiuraHidetoshi SazeEric J. RichardsSteven E. JacobsenHirohiko HirochikaRobert A. MartienssenAurawan VongsTetsu Kinoshita
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Tetsuji Kakutani
87 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Plant Science 6.3k
- Molecular Biology 4.1k
- Endocrinology 178
- Genetics 655
- Horticulture 17
Countries citing papers authored by Tetsuji Kakutani
This map shows the geographic impact of Tetsuji Kakutani'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 Tetsuji Kakutani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuji Kakutani more than expected).
Fields of papers citing papers by Tetsuji Kakutani
This network shows the impact of papers produced by Tetsuji Kakutani. 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 Tetsuji Kakutani. The network helps show where Tetsuji Kakutani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tetsuji Kakutani, 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 | 2024 | 4 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 29 | |
| 9 | 2021 | 99 | |
| 10 | 2020 | 45 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 81 | |
| 13 | 2019 | 22 | |
| 14 | 2019 | 60 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 26 | |
| 17 | 2017 | 56 | |
| 18 | 2008 | 225 | |
| 19 | 2003 | 439 | |
| 20 | 2000 | 469 |
About Tetsuji Kakutani
Tetsuji Kakutani is a scholar working on Plant Science, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Endocrinology, having authored 87 papers that have together received 7.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (49 papers), Chromosomal and Genetic Variations (35 papers), Plant nutrient uptake and metabolism (20 papers), Legume Nitrogen Fixing Symbiosis (19 papers), Epigenetics and DNA Methylation (13 papers), Plant Virus Research Studies (13 papers), Genomics and Chromatin Dynamics (11 papers) and Plant tissue culture and regeneration (7 papers). The work is most often cited by research in Plant Science (6.3k citations), Molecular Biology (4.1k citations), Endocrinology (178 citations), Genetics (655 citations) and Horticulture (17 citations). Tetsuji Kakutani has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Asuka Miura, Hidetoshi Saze, Eric J. Richards, Steven E. Jacobsen, Hirohiko Hirochika, Robert A. Martienssen, Aurawan Vongs, Tetsu Kinoshita, Maarten Koornneef and Wim J. J. Soppe. Their work appears in journals such as Nature Communications, The EMBO Journal, The Plant Journal, Journal of General Virology and Scientific Reports.
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.