Seiichi Toki

12.3k total citations · 4 hit papers
133 papers, 9.1k citations indexed

About

Seiichi Toki is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Seiichi Toki has authored 133 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 96 papers in Plant Science and 28 papers in Biotechnology. Recurrent topics in Seiichi Toki's work include CRISPR and Genetic Engineering (73 papers), Plant tissue culture and regeneration (60 papers) and Plant Virus Research Studies (33 papers). Seiichi Toki is often cited by papers focused on CRISPR and Genetic Engineering (73 papers), Plant tissue culture and regeneration (60 papers) and Plant Virus Research Studies (33 papers). Seiichi Toki collaborates with scholars based in Japan, United States and Switzerland. Seiichi Toki's co-authors include M. Endo, Masafumi Mikami, Kazuko Ono, Keishi Osakabe, Haruko Onodera, Hiroaki Saika, Ayako Nishizawa‐Yokoi, Naho Hara, Hiroshi Tanaka and Hidetaka Kaya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Seiichi Toki

132 papers receiving 8.8k citations

Hit Papers

Early infection of scutellum tissue with Agrobacterium al... 1998 2026 2007 2016 2006 1998 1999 2007 200 400 600

Peers

Seiichi Toki
Alan Lloyd United States
Ju‐Kon Kim South Korea
Yang Do Choi South Korea
Ki‐Hong Jung South Korea
Harold N. Trick United States
Cristóbal Uauy United Kingdom
Jin‐Gui Chen United States
Seiichi Toki
Citations per year, relative to Seiichi Toki Seiichi Toki (= 1×) peers Yongjun Lin

Countries citing papers authored by Seiichi Toki

Since Specialization
Citations

This map shows the geographic impact of Seiichi Toki'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 Seiichi Toki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Toki more than expected).

Fields of papers citing papers by Seiichi Toki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seiichi Toki. 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 Seiichi Toki. The network helps show where Seiichi Toki may publish in the future.

Co-authorship network of co-authors of Seiichi Toki

This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Toki. A scholar is included among the top collaborators of Seiichi Toki 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 Seiichi Toki. Seiichi Toki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nishizawa‐Yokoi, Ayako, Keiko Iida, Akiko Mori, & Seiichi Toki. (2025). Prime editing using paired pegRNAs targeting NG- or NGG-PAM in rice. Frontiers in Genome Editing. 7. 1550308–1550308.
2.
Ishibashi, Kazuhiro, M. Endo, Naho Hara, et al.. (2024). Systemic delivery of engineered compact AsCas12f by a positive-strand RNA virus vector enables highly efficient targeted mutagenesis in plants. Frontiers in Plant Science. 15. 1454554–1454554. 4 indexed citations
3.
Kujirai, Tomoya, Junko Katô, Tsukasa Kusakizako, et al.. (2024). Structural insights into how Cas9 targets nucleosomes. Nature Communications. 15(1). 10744–10744. 3 indexed citations
4.
Kobayashi, Natsuko I., Hiroki Takagi, Xiaoyu Yang, et al.. (2023). Mutations in RZF1, a zinc-finger protein, reduce magnesium uptake in roots and translocation to shoots in rice. PLANT PHYSIOLOGY. 192(1). 342–355. 3 indexed citations
5.
Nakajima, Ikuko, Hiroyuki Kawahigashi, Chikako Nishitani, et al.. (2023). Targeted deletion of grape retrotransposon associated with fruit skin color via CRISPR/Cas9 in Vitis labrascana ‘Shine Muscat’. PLoS ONE. 18(6). e0286698–e0286698. 5 indexed citations
6.
Nishizawa‐Yokoi, Ayako & Seiichi Toki. (2023). Precise genetic engineering with <i>piggyBac</i> transposon in plants. Plant Biotechnology. 40(4). 255–262. 2 indexed citations
7.
Nureki, Osamu, et al.. (2023). Genome editing in rice mediated by miniature size Cas nuclease SpCas12f. SHILAP Revista de lepidopterología. 5. 1138843–1138843. 15 indexed citations
8.
Kishi‐Kaboshi, Mitsuko, Ayako Nishizawa‐Yokoi, Ichiro Mitsuhara, Seiichi Toki, & Katsutomo Sasaki. (2023). Excision of DNA fragments with the <i>piggyBac</i> system in <i>Chrysanthemum morifolium</i>. Plant Biotechnology. 40(2). 157–165. 1 indexed citations
9.
Endo, M., Satoshi Iwakami, & Seiichi Toki. (2020). Precision genome editing in plants via gene targeting and subsequent break‐induced single‐strand annealing. Plant Biotechnology Journal. 19(3). 563–574. 22 indexed citations
10.
Iwakami, Satoshi, Takuya Yamaguchi, Masumi Ishizaka, et al.. (2018). CYP81A P450s are involved in concomitant cross‐resistance to acetolactate synthase and acetyl‐CoA carboxylase herbicides in Echinochloa phyllopogon. New Phytologist. 221(4). 2112–2122. 117 indexed citations
11.
Mikami, Masafumi, Seiichi Toki, & M. Endo. (2015). Parameters affecting frequency of CRISPR/Cas9 mediated targeted mutagenesis in rice. Plant Cell Reports. 34(10). 1807–1815. 76 indexed citations
12.
Endo, M., Masafumi Mikami, & Seiichi Toki. (2015). Biallelic Gene Targeting in Rice. PLANT PHYSIOLOGY. 170(2). 667–677. 144 indexed citations
13.
Nishizawa‐Yokoi, Ayako, M. Endo, Namie Ohtsuki, Hiroaki Saika, & Seiichi Toki. (2014). Precision genome editing in plants via gene targeting and piggy B ac ‐mediated marker excision. The Plant Journal. 81(1). 160–168. 50 indexed citations
14.
Endo, M., Masafumi Mikami, & Seiichi Toki. (2014). Multigene Knockout Utilizing Off-Target Mutations of the CRISPR/Cas9 System in Rice. Plant and Cell Physiology. 56(1). 41–47. 160 indexed citations
15.
Endo, M., Tsutomu Shimizu, Tamaki Fujimori, Shuichi Yanagisawa, & Seiichi Toki. (2013). Herbicide-Resistant Mutations in Acetolactate Synthase Can Reduce Feedback Inhibition and Lead to Accumulation of Branched-Chain Amino Acids. Food and Nutrition Sciences. 4(5). 522–528. 19 indexed citations
16.
Shigyo, Mikao, et al.. (2013). A Nitrate-Inducible GARP Family Gene Encodes an Auto-Repressible Transcriptional Repressor in Rice. Plant and Cell Physiology. 54(4). 506–517. 61 indexed citations
17.
Abe, K., Keishi Osakabe, M. Endo, et al.. (2012). Overexpression of OsRecQl4 and/or OsExo1 Enhances DSB-Induced Homologous Recombination in Rice. Plant and Cell Physiology. 53(12). 2142–2152. 26 indexed citations
18.
Abe, K., Keishi Osakabe, Shigeki Nakayama, et al.. (2005). Arabidopsis RAD51C Gene Is Important for Homologous Recombination in Meiosis and Mitosis. PLANT PHYSIOLOGY. 139(2). 896–908. 83 indexed citations
19.
Sentoku, Naoki, Mitsutaka Taniguchi, T. Sugiyama, et al.. (2000). Analysis of the transgenic tobacco plants expressing Panicum miliaceum aspartate aminotransferase genes. Plant Cell Reports. 19(6). 598–603. 22 indexed citations
20.
Kikuchi, Hidehiko, Sakiko Hirose, Seiichi Toki, Kazuhito Akama, & Fumio Takaiwa. (1999). Molecular characterization of a gene for alanine aminotransferase from rice (Oryza sativa). Plant Molecular Biology. 39(1). 149–159. 39 indexed citations

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.

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