Kyoko Matsui

3.4k total citations · 2 hit papers
16 papers, 2.9k citations indexed

About

Kyoko Matsui is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Kyoko Matsui has authored 16 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Plant Science and 1 paper in Insect Science. Recurrent topics in Kyoko Matsui's work include Plant Gene Expression Analysis (11 papers), Plant Molecular Biology Research (10 papers) and Photosynthetic Processes and Mechanisms (4 papers). Kyoko Matsui is often cited by papers focused on Plant Gene Expression Analysis (11 papers), Plant Molecular Biology Research (10 papers) and Photosynthetic Processes and Mechanisms (4 papers). Kyoko Matsui collaborates with scholars based in Japan, United States and Germany. Kyoko Matsui's co-authors include Masaru Ohme‐Takagi, Keiichiro Hiratsu, Masaru Ohta, Tomotsugu Koyama, Hideaki Shinshi, Nobutaka Mitsuda, Hideo Tanaka, Zbigniew Rybka, Julio Salinas and Hironori Kaminaka and has published in prestigious journals such as The Journal of Cell Biology, The Plant Cell and Biochemical and Biophysical Research Communications.

In The Last Decade

Kyoko Matsui

16 papers receiving 2.8k citations

Hit Papers

Repression Domains of Class II ERF Transcriptional Repres... 2001 2026 2009 2017 2001 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyoko Matsui Japan 16 2.3k 2.3k 209 102 68 16 2.9k
Farid Regad France 21 2.1k 0.9× 1.6k 0.7× 104 0.5× 85 0.8× 42 0.6× 31 2.4k
Keming Luo China 24 1.5k 0.6× 1.4k 0.6× 129 0.6× 169 1.7× 68 1.0× 57 2.0k
Seong‐Ryong Kim South Korea 23 2.0k 0.8× 1.5k 0.6× 98 0.5× 100 1.0× 47 0.7× 47 2.3k
Sakuntala Karunairetnam New Zealand 14 2.5k 1.1× 1.8k 0.8× 263 1.3× 88 0.9× 95 1.4× 21 2.9k
Gabriela Toledo‐Ortiz United Kingdom 17 2.1k 0.9× 2.1k 0.9× 432 2.1× 39 0.4× 43 0.6× 26 2.7k
Xiaosan Huang China 27 2.2k 0.9× 1.7k 0.7× 72 0.3× 57 0.6× 24 0.4× 57 2.6k
Rosario Blanco‐Portales Spain 25 1.8k 0.8× 1.3k 0.6× 313 1.5× 118 1.2× 29 0.4× 38 2.2k
Chunying Kang China 20 1.7k 0.7× 1.5k 0.6× 145 0.7× 47 0.5× 39 0.6× 40 2.0k
Márcio Gilberto Cardoso Costa Brazil 25 1.3k 0.5× 1.1k 0.5× 107 0.5× 155 1.5× 34 0.5× 80 1.7k
Ji Hyung Jun United States 18 1.3k 0.6× 1.4k 0.6× 181 0.9× 63 0.6× 18 0.3× 23 1.7k

Countries citing papers authored by Kyoko Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Kyoko Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyoko Matsui

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

All Works

16 of 16 papers shown
1.
Mitsuda, Nobutaka, Kyoko Matsui, Miho Ikeda, et al.. (2011). CRES-T, An Effective Gene Silencing System Utilizing Chimeric Repressors. Methods in molecular biology. 754. 87–105. 63 indexed citations
2.
Seki, Motoaki, et al.. (2010). Generation of chimeric repressors that confer salt tolerance in Arabidopsis and rice. Plant Biotechnology Journal. 9(7). 736–746. 60 indexed citations
3.
Matsui, Kyoko & Masaru Ohme‐Takagi. (2009). Detection of protein-protein interactions in plants using the transrepressive activity of the EAR motif repression domain. The Plant Journal. 61(4). 570–578. 29 indexed citations
4.
Iwase, Akira, Kyoko Matsui, & Masaru Ohme‐Takagi. (2009). Manipulation of plant metabolic pathways by transcription factors. Plant Biotechnology. 26(1). 29–38. 28 indexed citations
5.
Matsui, Kyoko, et al.. (2008). AtMYBL2, a protein with a single MYB domain, acts as a negative regulator of anthocyanin biosynthesis in Arabidopsis. The Plant Journal. 55(6). 954–967. 487 indexed citations
6.
Uehara, Yukiko, Yoshihiro Takahashi, Thomas Berberich, et al.. (2005). Tobacco ZFT1, a Transcriptional Repressor with a Cys2/His2 Type Zinc Finger Motif that Functions in Spermine-Signaling Pathway. Plant Molecular Biology. 59(3). 435–448. 51 indexed citations
7.
Tohge, Takayuki, Kyoko Matsui, Masaru Ohme‐Takagi, Mami Yamazaki, & Kazuki Saito. (2005). Enhanced radical scavenging activity of genetically modified Arabidopsis seeds. Biotechnology Letters. 27(5). 297–303. 40 indexed citations
8.
Matsui, Kyoko, Keiichiro Hiratsu, Tomotsugu Koyama, Hideo Tanaka, & Masaru Ohme‐Takagi. (2005). A Chimeric AtMYB23 Repressor Induces Hairy Roots, Elongation of Leaves and Stems, and Inhibition of the Deposition of Mucilage on Seed Coats in Arabidopsis. Plant and Cell Physiology. 46(1). 147–155. 48 indexed citations
9.
Inoue, Kentaro, et al.. (2005). Complete maturation of the plastid protein translocation channel requires a type I signal peptidase. The Journal of Cell Biology. 171(3). 425–430. 82 indexed citations
10.
Charlton, Wayne, Kyoko Matsui, Barbara Johnson, et al.. (2005). Salt‐induced expression of peroxisome‐associated genes requires components of the ethylene, jasmonate and abscisic acid signalling pathways. Plant Cell & Environment. 28(4). 513–524. 28 indexed citations
11.
Matsui, Kyoko, Hideo Tanaka, & Masaru Ohme‐Takagi. (2004). Suppression of the biosynthesis of proanthocyanidin in Arabidopsis by a chimeric PAP1 repressor. Plant Biotechnology Journal. 2(6). 487–493. 67 indexed citations
12.
Hiratsu, Keiichiro, Nobutaka Mitsuda, Kyoko Matsui, & Masaru Ohme‐Takagi. (2004). Identification of the minimal repression domain of SUPERMAN shows that the DLELRL hexapeptide is both necessary and sufficient for repression of transcription in Arabidopsis. Biochemical and Biophysical Research Communications. 321(1). 172–178. 126 indexed citations
13.
Sugano, Shoji, Hironori Kaminaka, Zbigniew Rybka, et al.. (2003). Stress‐responsive zinc finger gene ZPT2‐3 plays a role in drought tolerance in petunia. The Plant Journal. 36(6). 830–841. 124 indexed citations
14.
Hiratsu, Keiichiro, Kyoko Matsui, Tomotsugu Koyama, & Masaru Ohme‐Takagi. (2003). Dominant repression of target genes by chimeric repressors that include the EAR motif, a repression domain, in Arabidopsis. The Plant Journal. 34(5). 733–739. 692 indexed citations breakdown →
15.
Hiratsu, Keiichiro, Masaru Ohta, Kyoko Matsui, & Masaru Ohme‐Takagi. (2002). The SUPERMAN protein is an active repressor whose carboxy‐terminal repression domain is required for the development of normal flowers. FEBS Letters. 514(2-3). 351–354. 189 indexed citations
16.
Ohta, Masaru, Kyoko Matsui, Keiichiro Hiratsu, Hideaki Shinshi, & Masaru Ohme‐Takagi. (2001). Repression Domains of Class II ERF Transcriptional Repressors Share an Essential Motif for Active Repression. The Plant Cell. 13(8). 1959–1968. 736 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026