Masaru Nakata

1.7k total citations
31 papers, 1.3k citations indexed

About

Masaru Nakata is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Masaru Nakata has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 13 papers in Molecular Biology and 5 papers in Nutrition and Dietetics. Recurrent topics in Masaru Nakata's work include Plant Molecular Biology Research (10 papers), Food composition and properties (5 papers) and Plant Reproductive Biology (5 papers). Masaru Nakata is often cited by papers focused on Plant Molecular Biology Research (10 papers), Food composition and properties (5 papers) and Plant Reproductive Biology (5 papers). Masaru Nakata collaborates with scholars based in Japan, United States and Egypt. Masaru Nakata's co-authors include Masaru Ohme‐Takagi, Yohsuke Takahashi, Sarahmi Ishida, Nobutaka Mitsuda, Takeshi Ito, Jutarou Fukazawa, Takashi Yuasa, Gregg A. Howe, Kaoru Suzuki and Marco Herde and has published in prestigious journals such as Journal of the American Chemical Society, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Masaru Nakata

31 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masaru Nakata Japan 17 1.1k 744 126 95 81 31 1.3k
Martha L. Rowe United States 11 1.5k 1.4× 853 1.1× 317 2.5× 186 2.0× 56 0.7× 17 1.8k
Bo Pontoppidan Sweden 12 693 0.6× 748 1.0× 154 1.2× 56 0.6× 46 0.6× 13 1.1k
Yeon Jong Koo South Korea 12 1.3k 1.2× 886 1.2× 189 1.5× 116 1.2× 19 0.2× 12 1.5k
Weichao Fang China 20 1.0k 0.9× 721 1.0× 73 0.6× 88 0.9× 40 0.5× 58 1.3k
Susanne Textor Germany 11 733 0.7× 996 1.3× 141 1.1× 87 0.9× 23 0.3× 11 1.3k
Dolores Garrido Spain 27 1.7k 1.5× 808 1.1× 84 0.7× 45 0.5× 35 0.4× 80 1.9k
Yang Jae Kang South Korea 19 912 0.8× 360 0.5× 48 0.4× 38 0.4× 27 0.3× 42 1.1k
Didier Aldon France 18 1.8k 1.7× 868 1.2× 60 0.5× 76 0.8× 20 0.2× 27 2.1k
Chunxian Chen United States 20 1.1k 1.0× 622 0.8× 126 1.0× 115 1.2× 34 0.4× 75 1.4k
Roy N. Pittman United States 21 1.1k 1.0× 388 0.5× 38 0.3× 50 0.5× 47 0.6× 45 1.3k

Countries citing papers authored by Masaru Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Masaru Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaru Nakata

This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Nakata. A scholar is included among the top collaborators of Masaru Nakata 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 Masaru Nakata. Masaru Nakata 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.
Mizuno, Nobuyuki, Hitoshi Matsunaka, Mikiko Yanaka, et al.. (2022). Allelic variations of <i>Vrn-1</i> and <i>Ppd-1</i> genes in Japanese wheat varieties reveal the genotype-environment interaction for heading time. Breeding Science. 72(5). 343–354. 7 indexed citations
2.
Yamaguchi, Takeshi, Hiromoto Yamakawa, Masaru Nakata, Masaharu Kuroda, & Makoto Hakata. (2019). Suppression of phospholipase D genes improves chalky grain production by high temperature during the grain-filling stage in rice. Bioscience Biotechnology and Biochemistry. 83(6). 1102–1110. 11 indexed citations
3.
Nakata, Masaru, Tatsuya M. Ikeda, Yasunori Ichinose, et al.. (2018). A novel allele of the ADP-glucose transporter gene in ‘Tanikei QM-1’ markedly increases health-promoting compounds in barley grains. Breeding Research. 20(2). 124–132. 2 indexed citations
4.
Nakata, Masaru, Tomomi Miyashita, Hiroki Takagi, et al.. (2017). MutMapPlus identified novel mutant alleles of a rice starch branching enzyme IIb gene for fine‐tuning of cooked rice texture. Plant Biotechnology Journal. 16(1). 111–123. 42 indexed citations
5.
Nakata, Masaru, Yosuke Fukamatsu, Tomomi Miyashita, et al.. (2017). High Temperature-Induced Expression of Rice α-Amylases in Developing Endosperm Produces Chalky Grains. Frontiers in Plant Science. 8. 2089–2089. 82 indexed citations
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Iwase, Akira, Hirofumi Harashima, Momoko Ikeuchi, et al.. (2016). WIND1 Promotes Shoot Regeneration through Transcriptional Activation of ENHANCER OF SHOOT REGENERATION1 in Arabidopsis. The Plant Cell. 29(1). 54–69. 177 indexed citations
8.
Ito, Takeshi, Masaru Nakata, Jutarou Fukazawa, Sarahmi Ishida, & Yohsuke Takahashi. (2014). Scaffold Function of Ca2+-Dependent Protein Kinase: Tobacco Ca2+-DEPENDENT PROTEIN KINASE1 Transfers 14-3-3 to the Substrate REPRESSION OF SHOOT GROWTH after Phosphorylation. PLANT PHYSIOLOGY. 165(4). 1737–1750. 34 indexed citations
9.
Ito, Takeshi, Masaru Nakata, Jutarou Fukazawa, Sarahmi Ishida, & Yohsuke Takahashi. (2014). Phosphorylation-independent binding of 14–3–3 to NtCDPK1 by a new mode. Plant Signaling & Behavior. 9(12). e977721–e977721. 16 indexed citations
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11.
Nakata, Masaru & Masaru Ohme‐Takagi. (2013). Two bHLH-type transcription factors, JA-ASSOCIATED MYC2-LIKE2 and JAM3, are transcriptional repressors and affect male fertility. Plant Signaling & Behavior. 8(12). e26473–e26473. 33 indexed citations
12.
Fukazawa, Jutarou, Masaru Nakata, Takeshi Ito, et al.. (2011). bZIP transcription factor RSG controls the feedback regulation ofNtGA20ox1via intracellular localization and epigenetic mechanism. Plant Signaling & Behavior. 6(1). 26–28. 23 indexed citations
13.
Sasaki, Katsutomo, Hiroyasu Yamaguchi, Takako Narumi, et al.. (2011). Utilization of a floral organ-expressing AP1 promoter for generation of new floral traits in Torenia fournieri Lind. Plant Biotechnology. 28(2). 181–188. 19 indexed citations
14.
Ito, Takeshi, Masaru Nakata, Sarahmi Ishida, & Yohsuke Takahashi. (2011). The mechanism of substrate recognition of Ca2+-dependent protein kinases. Plant Signaling & Behavior. 6(7). 924–926. 10 indexed citations
15.
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
16.
Ishida, Sarahmi, Takashi Yuasa, Masaru Nakata, & Yohsuke Takahashi. (2008). A Tobacco Calcium-Dependent Protein Kinase, CDPK1, Regulates the Transcription Factor REPRESSION OF SHOOT GROWTH in Response to Gibberellins. The Plant Cell. 20(12). 3273–3288. 116 indexed citations
17.
18.
Nakata, Masaru, et al.. (2004). Germin-like protein gene family of a moss, Physcomitrella patens, phylogenetically falls into two characteristic new clades. Plant Molecular Biology. 56(3). 381–395. 32 indexed citations
19.
Shiono, Takeshi, et al.. (2003). Repression by Cu of the expression of Fe-superoxide dismutase of chloroplasts in the moss Barbula unguiculata but not in the liverwort Marchantia paleacea var. diptera. Journal of The Hattori Botanical Laboratory. 141–153. 6 indexed citations
20.
Hoch, M., Masaru Nakata, & Herrick L. Johnston. (1954). Vapor Pressures of Inorganic Substances. XII. Zirconium Dioxide1. Journal of the American Chemical Society. 76(10). 2651–2652. 14 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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