Daisuke Miki

4.6k total citations
59 papers, 3.2k citations indexed

About

Daisuke Miki is a scholar working on Plant Science, Molecular Biology and Ocean Engineering. According to data from OpenAlex, Daisuke Miki has authored 59 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 37 papers in Molecular Biology and 4 papers in Ocean Engineering. Recurrent topics in Daisuke Miki's work include Plant Molecular Biology Research (24 papers), Plant nutrient uptake and metabolism (15 papers) and Chromosomal and Genetic Variations (13 papers). Daisuke Miki is often cited by papers focused on Plant Molecular Biology Research (24 papers), Plant nutrient uptake and metabolism (15 papers) and Chromosomal and Genetic Variations (13 papers). Daisuke Miki collaborates with scholars based in China, Japan and United States. Daisuke Miki's co-authors include Ko Shimamoto, Jian‐Kang Zhu, Kai Tang, Wenjie Zeng, Wenxin Zhang, Satoshi Odo, Koji Inoue, Yasuhiro Takeuchi, Olga Pontes and Zhengyan Feng and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daisuke Miki

56 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisuke Miki China 30 2.3k 1.9k 147 141 124 59 3.2k
Michael J. Naldrett United States 18 531 0.2× 654 0.3× 34 0.2× 74 0.5× 41 0.3× 49 1.2k
Ferhan Ayaydin Hungary 27 1.9k 0.8× 1.9k 1.0× 193 1.3× 125 0.9× 71 0.6× 83 3.1k
Bingbing Li China 21 407 0.2× 722 0.4× 35 0.2× 171 1.2× 33 0.3× 60 1.2k
P. B. Gahan United Kingdom 22 655 0.3× 1.2k 0.7× 295 2.0× 112 0.8× 52 0.4× 120 2.2k
Eleanor Howe United States 7 558 0.2× 1.4k 0.7× 166 1.1× 180 1.3× 239 1.9× 9 2.4k
Ke Xie China 28 1.1k 0.5× 1.3k 0.7× 248 1.7× 162 1.1× 100 0.8× 67 2.2k
Elena Baraldi Italy 29 1.4k 0.6× 1.0k 0.5× 104 0.7× 95 0.7× 88 0.7× 90 2.5k
Luc Négroni France 25 902 0.4× 1.3k 0.7× 58 0.4× 108 0.8× 75 0.6× 49 2.3k

Countries citing papers authored by Daisuke Miki

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Miki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Miki

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Miki. A scholar is included among the top collaborators of Daisuke Miki 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 Daisuke Miki. Daisuke Miki 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.
Schmitz-Thom, Ina, Jiawen Wang, Chong-Yang Li, et al.. (2025). CPK28-mediated Ca2+ signaling regulates STOP1 localization and accumulation to facilitate plant aluminum resistance. Nature Communications. 16(1). 5224–5224.
2.
3.
Li, Jing, et al.. (2024). Application of multiple sgRNAs boosts efficiency of CRISPR/Cas9-mediated gene targeting in Arabidopsis. BMC Biology. 22(1). 6–6. 14 indexed citations
4.
Zhang, Lei, et al.. (2024). Simple promotion of Cas9 and Cas12a expression improves gene targeting via an all-in-one strategy. Frontiers in Plant Science. 15. 1360925–1360925. 3 indexed citations
5.
Zhang, Wenxin, Rui Wang, Mei Chen, et al.. (2023). Precise and heritable gene targeting in rice using a sequential transformation strategy. Cell Reports Methods. 3(1). 100389–100389. 6 indexed citations
6.
Zhang, Zhengjing, Wenjie Zeng, Wenxin Zhang, et al.. (2022). Insights into the molecular mechanisms of CRISPR/Cas9-mediated gene targeting at multiple loci in Arabidopsis. PLANT PHYSIOLOGY. 190(4). 2203–2216. 11 indexed citations
7.
Vílchez, Juan Ignacio, Yu Yang, Danxia He, et al.. (2020). DNA demethylases are required for myo-inositol-mediated mutualism between plants and beneficial rhizobacteria. Nature Plants. 6(8). 983–995. 66 indexed citations
8.
Zhu, Haifeng, et al.. (2018). DNA demethylase ROS1 negatively regulates the imprinting of DOGL4 and seed dormancy in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 115(42). E9962–E9970. 49 indexed citations
9.
Hanada, Toshikatsu, Hitoshi Teranishi, Daisuke Miki, et al.. (2018). CD105 maintains the thermogenic program of beige adipocytes by regulating Smad2 signaling. Molecular and Cellular Endocrinology. 474. 184–193. 4 indexed citations
10.
Miki, Daisuke, Wenxin Zhang, Wenjie Zeng, Zhengyan Feng, & Jian‐Kang Zhu. (2018). CRISPR/Cas9-mediated gene targeting in Arabidopsis using sequential transformation. Nature Communications. 9(1). 1967–1967. 176 indexed citations
11.
Miki, Daisuke, Peiying Zhu, Yanfei Mao, et al.. (2017). Efficient Generation of diRNAs Requires Components in the Posttranscriptional Gene Silencing Pathway. Scientific Reports. 7(1). 301–301. 32 indexed citations
12.
Lang, Zhaobo, Mingguang Lei, Xingang Wang, et al.. (2015). The Methyl-CpG-Binding Protein MBD7 Facilitates Active DNA Demethylation to Limit DNA Hyper-Methylation and Transcriptional Gene Silencing. Molecular Cell. 57(6). 971–983. 102 indexed citations
13.
Zheng, Zhimin, Hasi Yu, Daisuke Miki, et al.. (2015). Involvement of Multiple Gene-Silencing Pathways in a Paramutation-like Phenomenon in Arabidopsis. Cell Reports. 11(8). 1160–1167. 12 indexed citations
14.
Qian, Weiqiang, Daisuke Miki, Mingguang Lei, et al.. (2014). Regulation of Active DNA Demethylation by an α-Crystallin Domain Protein in Arabidopsis. Molecular Cell. 55(3). 361–371. 40 indexed citations
15.
Yamamuro, Chizuko, Daisuke Miki, Zhimin Zheng, et al.. (2014). Overproduction of stomatal lineage cells in Arabidopsis mutants defective in active DNA demethylation. Nature Communications. 5(1). 4062–4062. 84 indexed citations
16.
Chen, Letian, Daisuke Miki, Michiko Aoyama, et al.. (2010). Analysis of the Rac/Rop Small GTPase Family in Rice: Expression, Subcellular Localization and Role in Disease Resistance. Plant and Cell Physiology. 51(4). 585–595. 105 indexed citations
17.
Miki, Daisuke & Ko Shimamoto. (2008). De novo DNA methylation induced by siRNA targeted to endogenous transcribed sequences is gene‐specific and OsMet1‐independent in rice. The Plant Journal. 56(4). 539–549. 26 indexed citations
18.
Miki, Daisuke & Ko Shimamoto. (2004). Simple RNAi Vectors for Stable and Transient Suppression of Gene Function in Rice. Plant and Cell Physiology. 45(4). 490–495. 421 indexed citations
19.
Inoue, Koji, et al.. (1995). Mussel foot protein genes : Structure and variations. 3(1). 157–160. 5 indexed citations
20.
Inoue, Koji, Yasuhiro Takeuchi, Daisuke Miki, & Satoshi Odo. (1995). Mussel Adhesive Plaque Protein Gene Is a Novel Member of Epidermal Growth Factor-like Gene Family. Journal of Biological Chemistry. 270(12). 6698–6701. 96 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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