Hidetaka Ito

2.2k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Hidetaka Ito is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Hidetaka Ito has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Plant Science, 12 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in Hidetaka Ito's work include Chromosomal and Genetic Variations (24 papers), Plant Molecular Biology Research (17 papers) and Plant Virus Research Studies (11 papers). Hidetaka Ito is often cited by papers focused on Chromosomal and Genetic Variations (24 papers), Plant Molecular Biology Research (17 papers) and Plant Virus Research Studies (11 papers). Hidetaka Ito collaborates with scholars based in Japan, China and United States. Hidetaka Ito's co-authors include Marie Mirouze, Jerzy Paszkowski, Etienne Bucher, Isabelle Vaillant, Atsushi Kato, Tetsuji Kakutani, Yukari Masuta, Akira Kawabe, Takanori Yoshida and Seiji Masuda and has published in prestigious journals such as Nature, The Plant Cell and Scientific Reports.

In The Last Decade

Hidetaka Ito

33 papers receiving 1.1k citations

Hit Papers

An siRNA pathway prevents transgenerational retrotranspos... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidetaka Ito Japan 15 1.0k 592 69 33 21 35 1.1k
Taeko Morosawa Japan 13 930 0.9× 716 1.2× 44 0.6× 40 1.2× 41 2.0× 14 1.1k
Guan-Dong Shang China 12 742 0.7× 682 1.2× 28 0.4× 24 0.7× 29 1.4× 16 910
Stefanie Dukowic‐Schulze United States 16 611 0.6× 647 1.1× 85 1.2× 28 0.8× 9 0.4× 26 835
Cristiane P. G. Calixto United Kingdom 14 489 0.5× 580 1.0× 35 0.5× 43 1.3× 32 1.5× 23 784
Andrea D. McCue United States 11 796 0.8× 534 0.9× 35 0.5× 22 0.7× 20 1.0× 11 901
Danhua Jiang China 24 2.0k 1.9× 1.8k 3.0× 83 1.2× 31 0.9× 20 1.0× 45 2.3k
Stefan Grob Switzerland 15 858 0.8× 825 1.4× 93 1.3× 14 0.4× 19 0.9× 21 1.0k
Upendra Kumar Devisetty United States 13 441 0.4× 346 0.6× 53 0.8× 31 0.9× 24 1.1× 22 542
Justyna Jadwiga Olas Germany 15 717 0.7× 446 0.8× 25 0.4× 23 0.7× 10 0.5× 21 881
Alice Pajoro Netherlands 15 1.1k 1.0× 946 1.6× 71 1.0× 29 0.9× 31 1.5× 16 1.3k

Countries citing papers authored by Hidetaka Ito

Since Specialization
Citations

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

Fields of papers citing papers by Hidetaka Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetaka Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Ito. A scholar is included among the top collaborators of Hidetaka Ito 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 Hidetaka Ito. Hidetaka Ito 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
2.
Ito, Hidetaka, et al.. (2025). Transposition of the heat-activated retrotransposon <i>ONSEN</i> results in enhanced hypocotyl elongation. Genes & Genetic Systems. 100(0). n/a–n/a.
3.
Chen, Lu, et al.. (2022). Regulatory mechanism of a heat-activated retrotransposon by DDR complex in Arabidopsis thaliana. Frontiers in Plant Science. 13. 1048957–1048957. 8 indexed citations
4.
Masuda, Seiji, Hidetoshi Saze, Yoko Ikeda, et al.. (2022). Epigenetic regulation of ecotype-specific expression of the heat-activated transposon ONSEN. Frontiers in Plant Science. 13. 899105–899105. 14 indexed citations
5.
Meng, Yijun, Xiaoxia Ma, Jie Li, et al.. (2022). The novel activity of Argonautes in intron splicing: A transcriptome-wide survey in plants. Journal of Plant Physiology. 270. 153632–153632. 4 indexed citations
6.
Chen, Jiani, Jianjun Jiang, Sarah M. Leichter, et al.. (2021). DNA methyltransferase CHROMOMETHYLASE3 prevents ONSEN transposon silencing under heat stress. PLoS Genetics. 17(8). e1009710–e1009710. 24 indexed citations
7.
Chen, Lu, et al.. (2021). DRD1, a SWI/SNF-like chromatin remodeling protein, regulates a heat-activated transposon in <i>Arabidopsis thaliana</i>. Genes & Genetic Systems. 96(3). 151–158. 4 indexed citations
8.
Yu, Dongliang, Ying Wan, Hidetaka Ito, et al.. (2019). PmiRDiscVali: an integrated pipeline for plant microRNA discovery and validation. BMC Genomics. 20(1). 133–133. 13 indexed citations
9.
Yu, Dongliang, Min Xu, Hidetaka Ito, et al.. (2018). Tracking microRNA Processing Signals by Degradome Sequencing Data Analysis. Frontiers in Genetics. 9. 546–546. 10 indexed citations
10.
Kawabe, Akira, et al.. (2017). Epigenetic Regulation of a Heat-Activated Retrotransposon in Cruciferous Vegetables. Epigenomes. 1(1). 7–7. 3 indexed citations
11.
Ito, Hidetaka, Jong-Myong Kim, Wataru Matsunaga, et al.. (2016). A Stress-Activated Transposon in Arabidopsis Induces Transgenerational Abscisic Acid Insensitivity. Scientific Reports. 6(1). 23181–23181. 89 indexed citations
12.
Saito, Tamao, et al.. (2015). AtRBP1, which encodes an RNA-binding protein containing RNA-recognition motifs, regulates root growth in Arabidopsis thaliana. Plant Physiology and Biochemistry. 92. 62–70. 10 indexed citations
13.
Matsunaga, Wataru, Naohiko Ohama, Noriaki Tanabe, et al.. (2015). A small RNA mediated regulation of a stress-activated retrotransposon and the tissue specific transposition during the reproductive period in Arabidopsis. Frontiers in Plant Science. 6. 48–48. 46 indexed citations
14.
Kato, Hiroaki, Tamao Saito, Hidetaka Ito, Yoshibumi Komeda, & Atsushi Kato. (2014). Overexpression of the TIR-X gene results in a dwarf phenotype and activation of defense-related gene expression in Arabidopsis thaliana. Journal of Plant Physiology. 171(6). 382–388. 22 indexed citations
15.
Ito, Hidetaka & Tetsuji Kakutani. (2014). Control of transposable elements in Arabidopsis thaliana. Chromosome Research. 22(2). 217–223. 42 indexed citations
16.
Yamada, Mari, et al.. (2014). Genomic localization of AtRE1 and AtRE2, copia-type retrotransposons, in natural variants of Arabidopsis thaliana. Molecular Genetics and Genomics. 289(5). 821–835. 2 indexed citations
17.
Ito, Hidetaka. (2011). Small RNAs and transposon silencing in plants. Development Growth & Differentiation. 54(1). 100–107. 40 indexed citations
18.
Ito, Hidetaka, et al.. (2011). An siRNA pathway prevents transgenerational retrotransposition in plants subjected to stress. Nature. 472(7341). 115–119. 478 indexed citations breakdown →
19.
Ito, Hidetaka, Asuka Miura, Kazuya Takashima, & Tetsuji Kakutani. (2006). Ecotype-specific and chromosome-specific expansion of variant centromeric satellites in Arabidopsis thaliana. Molecular Genetics and Genomics. 277(1). 23–30. 9 indexed citations
20.
Ito, Hidetaka, Shuhei Nasuda, & Takashi R. Endo. (2004). A direct repeat sequence associated with the centromeric retrotransposons in wheat. Genome. 47(4). 747–756. 23 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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