T. KATO
- Plant Science top 1%
- Molecular Biology top 5%
- Cell Biology top 5%
- Physiology top 2%
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Masao TasakaHidehiro FukakiMiyo Terao MoritaMitsuhiro AidaTakashi HashimotoChieko SaitoMasahiko FurutaniPhilip N. Benfey
- Topics
- Plant Molecular Biology Research (27 papers)Plant Reproductive Biology (19 papers)Plant Physiology and Cultivation Studies (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Cell Biology
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
T. KATO
58 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Plant Science 2.0k
- Molecular Biology 1.8k
- Cell Biology 383
- Physiology 120
- Ecology, Evolution, Behavior and Systematics 95
Countries citing papers authored by T. KATO
This map shows the geographic impact of T. KATO'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 T. KATO with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. KATO more than expected).
Fields of papers citing papers by T. KATO
This network shows the impact of papers produced by T. KATO. 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 T. KATO. The network helps show where T. KATO may publish in the future.
Co-authorship network of co-authors of T. KATO
This figure shows the co-authorship network connecting the top 25 collaborators of T. KATO. A scholar is included among the top collaborators of T. KATO 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 T. KATO. T. KATO 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 | 51 | |
| 4 | 21 | |
| 5 | 28 | |
| 6 | 28 | |
| 7 | 2 | |
| 8 | 100 | |
| 9 | 63 | |
| 10 | 14 | |
| 11 | 13 | |
| 12 | 42 | |
| 13 | 42 | |
| 14 | Habitat Classifications of Butterflies Based on the Differences in Butterfly Communities in Woodlands and Open Lands in Central Hokkaido, Japan | 5 |
| 15 | 29 | |
| 16 | 122 | |
| 17 | 7 | |
| 18 | 67 | |
| 19 | 2 | |
| 20 | INTERRELATIONS BETWEEN GIBBERELLIN AND DORMANCY OF POTATO TUBER | 3 |
About T. KATO
T. KATO is a scholar working on Plant Science, Horticulture and Cell Biology, having authored 59 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (19 papers) and Plant Physiology and Cultivation Studies (11 papers). The work is most often cited by research in Plant Science (2.0k citations), Physiology (120 citations) and Molecular Biology (1.8k citations). T. KATO has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masao Tasaka, Hidehiro Fukaki, Miyo Terao Morita, Mitsuhiro Aida, Takashi Hashimoto, Chieko Saito, Masahiko Furutani, Philip N. Benfey, Joanna Wysocka‐Diller and Hisao Fujisawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
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.