Taiko Kim To
- Plant Science top 1%
- Molecular Biology top 10%
- Insect Science top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Co-authors
- Jong-Myong KimMotoaki SekiJunko IshidaAkihiro MatsuiHiroshi KimuraTetsuji KakutaniTaeko MorosawaKazuo Shinozaki
- Topics
- Plant Molecular Biology Research (18 papers)Plant Gene Expression Analysis (6 papers)Plant Stress Responses and Tolerance (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Taiko Kim To
21 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Plant Science 1.7k
- Molecular Biology 1.2k
- Insect Science 194
- Ecology, Evolution, Behavior and Systematics 69
- Genetics 65
Countries citing papers authored by Taiko Kim To
This map shows the geographic impact of Taiko Kim To'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 Taiko Kim To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiko Kim To more than expected).
Fields of papers citing papers by Taiko Kim To
This network shows the impact of papers produced by Taiko Kim To. 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 Taiko Kim To. The network helps show where Taiko Kim To may publish in the future.
Co-authorship network of co-authors of Taiko Kim To
This figure shows the co-authorship network connecting the top 25 collaborators of Taiko Kim To. A scholar is included among the top collaborators of Taiko Kim To 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 Taiko Kim To. Taiko Kim To 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 | 4 | |
| 3 | 14 | |
| 4 | 12 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 99 | |
| 8 | 32 | |
| 9 | 13 | |
| 10 | 47 | |
| 11 | 56 | |
| 12 | 51 | |
| 13 | 4 | |
| 14 | 168 | |
| 15 | 113 | |
| 16 | 136 | |
| 17 | Derepression of ethylene-stabilized transcription factors (EIN3/EIL1) mediates jasmonate and ethylene signaling synergy in Arabidopsisbreakdown → | 569 |
| 18 | 21 | |
| 19 | 174 | |
| 20 | 258 |
About Taiko Kim To
Taiko Kim To is a scholar working on Plant Science, Insect Science and Molecular Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (18 papers), Plant Gene Expression Analysis (6 papers) and Plant Stress Responses and Tolerance (6 papers). The work is most often cited by research in Plant Science (1.7k citations), Molecular Biology (1.2k citations) and Insect Science (194 citations). Taiko Kim To has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Jong-Myong Kim, Motoaki Seki, Junko Ishida, Akihiro Matsui, Hiroshi Kimura, Tetsuji Kakutani, Taeko Morosawa, Kazuo Shinozaki, Tatsuya Nishioka and Tetsuro Toyoda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.