Toshihiko Komari
- Molecular Biology top 1%
- Plant Science top 0.2%
- Biotechnology top 0.05%
- Genetics top 5%
- Biomedical Engineering
- Co-authors
- Yukoh HieiTakashi KumashiroShozo OhtaYuji IshidaTomoaki KuboHideaki SaitoNobuhiko MuraiEugene W. Nester
- Topics
- Plant tissue culture and regeneration (37 papers)Transgenic Plants and Applications (22 papers)CRISPR and Genetic Engineering (12 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Toshihiko Komari
48 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 5.5k
- Plant Science 5.3k
- Biotechnology 2.2k
- Genetics 439
- Biomedical Engineering 142
Countries citing papers authored by Toshihiko Komari
This map shows the geographic impact of Toshihiko Komari'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 Toshihiko Komari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiko Komari more than expected).
Fields of papers citing papers by Toshihiko Komari
This network shows the impact of papers produced by Toshihiko Komari. 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 Toshihiko Komari. The network helps show where Toshihiko Komari may publish in the future.
Co-authorship network of co-authors of Toshihiko Komari
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Komari. A scholar is included among the top collaborators of Toshihiko Komari 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 Toshihiko Komari. Toshihiko Komari 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 220 | |
| 7 | 374 | |
| 8 | 47 | |
| 9 | 7 | |
| 10 | THE PROMOTER OF rbcS IN A C3 PLANT (RICE) DIRECTS ORGAN-SPECIFIC, LIGHT-DEPENDENT EXPRESSION IN A C4 PLANT (MAIZE), BUT DOES NOT CONFER THE BUNDLE SHEATH CELL-SPECIFIC EXPRESSION | 0 |
| 11 | 36 | |
| 12 | 41 | |
| 13 | 49 | |
| 14 | 11 | |
| 15 | 83 | |
| 16 | 25 | |
| 17 | Efficient transformation of rice (Oryza sativa L.) mediated by Agrobacterium and sequence analysis of the boundaries of the T‐DNAbreakdown → | 2950 |
| 18 | 81 | |
| 19 | 8 | |
| 20 | 28 |
About Toshihiko Komari
Toshihiko Komari is a scholar working on Biotechnology, Plant Science and Molecular Biology, having authored 51 papers that have together received 6.9k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (37 papers), Transgenic Plants and Applications (22 papers) and CRISPR and Genetic Engineering (12 papers). The work is most often cited by research in Biotechnology (2.2k citations), Plant Science (5.3k citations) and Molecular Biology (5.5k citations). Toshihiko Komari has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yukoh Hiei, Takashi Kumashiro, Shozo Ohta, Yuji Ishida, Tomoaki Kubo, Hideaki Saito, Nobuhiko Murai, Eugene W. Nester, Masako Tsunashima and Jun Ueki. Their work appears in journals such as Nature Biotechnology, PLANT PHYSIOLOGY and FEBS Letters.
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.