Kenichiro Maeo

2.3k total citations · 1 hit paper
11 papers, 1.6k citations indexed

About

Kenichiro Maeo is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Kenichiro Maeo has authored 11 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Kenichiro Maeo's work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (6 papers) and Plant tissue culture and regeneration (3 papers). Kenichiro Maeo is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (6 papers) and Plant tissue culture and regeneration (3 papers). Kenichiro Maeo collaborates with scholars based in Japan, France and Hungary. Kenichiro Maeo's co-authors include Sumie Ishiguro, Kenzo Nakamura, Takamasa Suzuki, Kenzo Nakamura, Yasuo Niwa, Shinya Nakamura, Tetsuya Kimura, Tsuyoshi Nakagawa, Satoko Murata and Yuichiro Watanabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Kenichiro Maeo

11 papers receiving 1.5k citations

Hit Papers

Improved Gateway Binary Vectors: High-Performance Vectors... 2007 2026 2013 2019 2007 200 400 600

Peers

Kenichiro Maeo
Charles R. Dietrich United States
P. Barret France
Xu Hu United States
Ran Xu China
Charles R. Dietrich United States
Kenichiro Maeo
Citations per year, relative to Kenichiro Maeo Kenichiro Maeo (= 1×) peers Charles R. Dietrich

Countries citing papers authored by Kenichiro Maeo

Since Specialization
Citations

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

Fields of papers citing papers by Kenichiro Maeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichiro Maeo

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

All Works

11 of 11 papers shown
1.
Maeo, Kenichiro, Yuki Nakaya, Nobutaka Mitsuda, & Sumie Ishiguro. (2024). ACRE, a class of AP2/ERF transcription factors, activates the expression of sweet potato ß-amylase and sporamin genes through the sugar-responsible element CMSRE-1. Plant Molecular Biology. 114(3). 54–54. 1 indexed citations
2.
Nomoto, Yuji, Hirotomo Takatsuka, Toshiya Suzuki, et al.. (2022). A hierarchical transcriptional network activates specific CDK inhibitors that regulate G2 to control cell size and number in Arabidopsis. Nature Communications. 13(1). 1660–1660. 28 indexed citations
3.
Dutta, Amit Kumar, Yuji Tanaka, Kohji Nishimura, et al.. (2019). Gateway binary vectors with organelle-targeted fluorescent proteins for highly sensitive reporter assay in gene expression analysis of plants. Journal of Biotechnology. 297. 19–27. 2 indexed citations
4.
Yoshida, Hideki, Ko Hirano, Tomomi Sato, et al.. (2014). DELLA protein functions as a transcriptional activator through the DNA binding of the INDETERMINATE DOMAIN family proteins. Proceedings of the National Academy of Sciences. 111(21). 7861–7866. 214 indexed citations
5.
Kobayashi, Kosuke, Takamasa Suzuki, Kenichiro Maeo, et al.. (2011). Mutations in MYB3R1 and MYB3R4 Cause Pleiotropic Developmental Defects and Preferential Down-Regulation of Multiple G2/M-Specific Genes in Arabidopsis  . PLANT PHYSIOLOGY. 157(2). 706–717. 99 indexed citations
7.
Nakagawa, Tsuyoshi, Takamasa Suzuki, Satoko Murata, et al.. (2007). Improved Gateway Binary Vectors: High-Performance Vectors for Creation of Fusion Constructs in Transgenic Analysis of Plants. Bioscience Biotechnology and Biochemistry. 71(8). 2095–2100. 743 indexed citations breakdown →
8.
Morikami, Atsushi, Takeshi Masaki, Hironaka Tsukagoshi, et al.. (2005). Transcription factors for sugar-inducible genes. Plant Biotechnology. 22(5). 371–378. 2 indexed citations
9.
Maeo, Kenichiro, et al.. (2001). Role of Conserved Residues of the WRKY Domain in the DNA-binding of Tobacco WRKY Family Proteins. Bioscience Biotechnology and Biochemistry. 65(11). 2428–2436. 147 indexed citations
10.
Maeo, Kenichiro, et al.. (2001). Sugar-responsible elements in the promoter of a gene for β-amylase of sweet potato. Plant Molecular Biology. 46(5). 627–637. 46 indexed citations
11.
Maeo, Kenichiro, et al.. (1999). Expression Patterns of Two Genes for the Delta-Subunit of Mitochondrial F1-ATP Synthase from Sweet Potato in Transgenic Tobacco Plants and Cells. Plant and Cell Physiology. 40(8). 866–873. 2 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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