Satoshi Naito

7.9k total citations
129 papers, 6.3k citations indexed

About

Satoshi Naito is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Satoshi Naito has authored 129 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Plant Science, 83 papers in Molecular Biology and 13 papers in Biotechnology. Recurrent topics in Satoshi Naito's work include Plant Virus Research Studies (22 papers), RNA and protein synthesis mechanisms (20 papers) and Plant nutrient uptake and metabolism (20 papers). Satoshi Naito is often cited by papers focused on Plant Virus Research Studies (22 papers), RNA and protein synthesis mechanisms (20 papers) and Plant nutrient uptake and metabolism (20 papers). Satoshi Naito collaborates with scholars based in Japan, United States and United Kingdom. Satoshi Naito's co-authors include Toru Fujiwara, Yoshibumi Komeda, Eiji Nambara, Masayuki Ishikawa, Hitoshi Onouchi, Masami Yokota Hirai, Peter McCourt, Mitsuo Chino, M. Chino and Junpei Takano and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Satoshi Naito

124 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satoshi Naito Japan 46 4.9k 3.6k 318 306 286 129 6.3k
Gilbert Engler Belgium 48 6.2k 1.3× 4.8k 1.3× 154 0.5× 65 0.2× 543 1.9× 117 7.6k
Catherine Bellini France 47 7.3k 1.5× 6.4k 1.8× 213 0.7× 118 0.4× 193 0.7× 90 9.1k
Yasuo Niwa Japan 24 4.0k 0.8× 4.1k 1.1× 183 0.6× 74 0.2× 617 2.2× 54 5.6k
J. F. Antoniw United Kingdom 34 3.3k 0.7× 1.6k 0.4× 42 0.1× 704 2.3× 337 1.2× 96 4.4k
Yasunori Machida Japan 53 6.9k 1.4× 6.5k 1.8× 93 0.3× 100 0.3× 410 1.4× 149 8.2k
Michel Caboche France 41 5.2k 1.1× 4.2k 1.2× 117 0.4× 53 0.2× 232 0.8× 105 6.7k
Yang Do Choi South Korea 49 7.7k 1.6× 6.6k 1.8× 100 0.3× 103 0.3× 576 2.0× 147 11.1k
Susan E. Gardiner New Zealand 40 3.9k 0.8× 2.8k 0.8× 169 0.5× 86 0.3× 100 0.3× 124 5.3k
Gary S. Ditta United States 45 10.6k 2.2× 9.2k 2.6× 180 0.6× 295 1.0× 569 2.0× 56 13.5k
Craig S. Pikaard United States 65 10.1k 2.1× 9.0k 2.5× 121 0.4× 341 1.1× 232 0.8× 135 13.2k

Countries citing papers authored by Satoshi Naito

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Naito. A scholar is included among the top collaborators of Satoshi Naito 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 Satoshi Naito. Satoshi Naito 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.
Sasaki, Shun, Shun Watanabe, Munetaka Sugiyama, et al.. (2023). Upstream open reading frame-mediated upregulation of ANAC082 expression in response to nucleolar stress in Arabidopsis. Plant Biotechnology. 40(1). 21–30. 1 indexed citations
2.
Sotta, Naoyuki, Yukako Chiba, Takamasa Suzuki, et al.. (2022). Translational Landscape of a C4 Plant, Sorghum bicolor, Under Normal and Sulfur-Deficient Conditions. Plant and Cell Physiology. 63(5). 592–604. 7 indexed citations
3.
Sotta, Naoyuki, Yukako Chiba, Kyoko Miwa, et al.. (2021). Global analysis of boron‐induced ribosome stalling reveals its effects on translation termination and unique regulation by AUG‐stops in Arabidopsis shoots. The Plant Journal. 106(5). 1455–1467. 15 indexed citations
4.
5.
Yoshinari, Akira, Tomoo Shimada, Ikuko Hara‐Nishimura, et al.. (2017). Polar Localization of the NIP5;1 Boric Acid Channel Is Maintained by Endocytosis and Facilitates Boron Transport in Arabidopsis Roots. The Plant Cell. 29(4). 824–842. 104 indexed citations
6.
Tanaka, M., Naoyuki Sotta, Yusuke Yamazumi, et al.. (2016). The Minimum Open Reading Frame, AUG-Stop, Induces Boron-Dependent Ribosome Stalling and mRNA Degradation. The Plant Cell. 28(11). 2830–2849. 101 indexed citations
7.
Yoshinari, Akira, Masaru Fujimoto, Takashi Ueda, et al.. (2016). DRP1-Dependent Endocytosis is Essential for Polar Localization and Boron-Induced Degradation of the Borate Transporter BOR1 inArabidopsis thaliana. Plant and Cell Physiology. 57(9). 1985–2000. 67 indexed citations
8.
Wakuta, Shinji, Katsuhiko Mineta, Atsushi Toyoda, et al.. (2015). Evolutionary Divergence of Plant Borate Exporters and Critical Amino Acid Residues for the Polar Localization and Boron-Dependent Vacuolar Sorting of AtBOR1. Plant and Cell Physiology. 56(5). 852–862. 37 indexed citations
9.
Tanaka, M., Junpei Takano, Yukako Chiba, et al.. (2011). Boron-Dependent Degradation of NIP5;1 mRNA for Acclimation to Excess Boron Conditions in Arabidopsis  . The Plant Cell. 23(9). 3547–3559. 93 indexed citations
10.
Ishibashi, Kazuhiro, Satoshi Naito, Tetsuo Meshi, & Masayuki Ishikawa. (2009). An inhibitory interaction between viral and cellular proteins underlies the resistance of tomato to nonadapted tobamoviruses. Proceedings of the National Academy of Sciences. 106(21). 8778–8783. 46 indexed citations
11.
Ishibashi, Kazuhiro, Kiyoshi Masuda, Satoshi Naito, Tetsuo Meshi, & Masayuki Ishikawa. (2007). An inhibitor of viral RNA replication is encoded by a plant resistance gene. Proceedings of the National Academy of Sciences. 104(34). 13833–13838. 98 indexed citations
12.
Yoshii, Motoyasu, et al.. (2004). The Arabidopsis Cucumovirus Multiplication 1 and 2 Loci Encode Translation Initiation Factors 4E and 4G. Journal of Virology. 78(12). 6102–6111. 144 indexed citations
13.
14.
Chiba, Yukako, et al.. (1999). Plant gene register PGR 99-087. Nucleotide sequence polymorphisms in the cystathionine gamma -synthase gene of Arabidopsis (accession nos. AF039206 and AB010888). PLANT PHYSIOLOGY. 120(2). 635. 6 indexed citations
15.
Naito, Satoshi, et al.. (1999). Genomic Nucleotide Sequence of the Arabidopsis Threonine Synthase Gene (Accession No. AB027151). (PGR99-108).. PLANT PHYSIOLOGY. 120(4). 1205–1205. 3 indexed citations
16.
Nambara, Eiji, Hiroshi Kawaide, Yuji Kamiya, & Satoshi Naito. (1998). Characterization of an Arabidopsis thaliana Mutant that Has a Defect in ABA Accumulation: ABA-Dependent and ABA-Independent Accumulation of Free Amino Acids during Dehydration. Plant and Cell Physiology. 39(8). 853–858. 139 indexed citations
17.
18.
Naito, Satoshi, Masami Yokota Hirai, M. Chino, & Yoshibumi Komeda. (1994). Expression of a Soybean (Glycine max [L.] Merr.) Seed Storage Protein Gene in Transgenic Arabidopsis thaliana and Its Response to Nutritional Stress and to Abscisic Acid Mutations. PLANT PHYSIOLOGY. 104(2). 497–503. 74 indexed citations
19.
Hirano, Hiroyuki, et al.. (1992). Analysis of intergenic spacer regions in the nuclear rDNA of Pharbitis nil. Genome. 35(1). 92–97. 5 indexed citations
20.
Naito, Satoshi & Sho Ishikawa. (1971). [Convergent strabismus and the miotics. 3. Accommodative esotropia and the bifocals].. PubMed. 75. 794–801. 1 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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