Yutaka Sato

15.0k total citations
184 papers, 11.2k citations indexed

About

Yutaka Sato is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Yutaka Sato has authored 184 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Molecular Biology, 124 papers in Plant Science and 28 papers in Genetics. Recurrent topics in Yutaka Sato's work include Plant Molecular Biology Research (77 papers), Plant Reproductive Biology (58 papers) and Plant Gene Expression Analysis (24 papers). Yutaka Sato is often cited by papers focused on Plant Molecular Biology Research (77 papers), Plant Reproductive Biology (58 papers) and Plant Gene Expression Analysis (24 papers). Yutaka Sato collaborates with scholars based in Japan, United States and China. Yutaka Sato's co-authors include Makoto Matsuoka, Yoshiaki Nagamura, Minoru Nishimura, Makoto Kusaba, Ryouhei Morita, Hidemi Kitano, Yasuo Nagato, Hiroshi Nagasaki, Baltazar A. Antonio and Naoki Sentoku and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Yutaka Sato

177 papers receiving 11.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yutaka Sato Japan 61 8.6k 6.2k 1.6k 403 391 184 11.2k
Ghasem Hosseini Salekdeh Iran 52 4.1k 0.5× 4.4k 0.7× 621 0.4× 253 0.6× 388 1.0× 288 9.2k
Ping Wu China 49 5.5k 0.6× 2.6k 0.4× 1.1k 0.7× 183 0.5× 440 1.1× 179 9.7k
Jianru Zuo China 51 7.0k 0.8× 5.9k 1.0× 592 0.4× 147 0.4× 323 0.8× 97 9.4k
Jinrong Peng China 45 7.8k 0.9× 6.9k 1.1× 1.2k 0.8× 402 1.0× 152 0.4× 140 11.3k
Bin Han China 38 3.2k 0.4× 2.4k 0.4× 913 0.6× 527 1.3× 151 0.4× 154 6.5k
Yehua He China 15 8.0k 0.9× 7.6k 1.2× 740 0.5× 492 1.2× 64 0.2× 39 12.1k
Rogério Margis Brazil 42 3.3k 0.4× 3.5k 0.6× 436 0.3× 345 0.9× 240 0.6× 167 6.7k
Jie Liu China 41 2.9k 0.3× 3.4k 0.6× 1.9k 1.2× 142 0.4× 206 0.5× 195 6.6k
Xizeng Mao United States 16 2.2k 0.3× 3.4k 0.6× 630 0.4× 216 0.5× 175 0.4× 33 6.4k
Richard M. Clark United States 39 3.2k 0.4× 3.4k 0.6× 1.8k 1.1× 613 1.5× 177 0.5× 118 7.2k

Countries citing papers authored by Yutaka Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Sato. A scholar is included among the top collaborators of Yutaka Sato 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 Yutaka Sato. Yutaka Sato 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
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Konishi, Tatsuya, Jun Yamanouchi, Takao NISHIDA, et al.. (2025). HIV-associated neurocognitive dysfunction in the Chugoku-Shikoku region of Japan: A cross-sectional study. Journal of Infection and Chemotherapy. 31(8). 102768–102768.
3.
Yamazaki, Kiyoshi, Yoshihiro Ohmori, Hirokazu Takahashi, et al.. (2024). Transcriptome Analysis of Rice Root Tips Reveals Auxin, Gibberellin and Ethylene Signaling Underlying Nutritropism. Plant and Cell Physiology. 65(4). 671–679. 2 indexed citations
4.
Tonosaki, Kaoru, Daichi Susaki, A. Ono, et al.. (2024). Multilayered epigenetic control of persistent and stage-specific imprinted genes in rice endosperm. Nature Plants. 10(8). 1231–1245. 5 indexed citations
5.
Sato, Yutaka, Yoshiyuki Yamagata, Hideshi Yasui, et al.. (2024). Identification of <i>An7</i> as a positive awn regulator from two wild rice species. Breeding Science. 74(3). 247–258.
6.
Ashikari, Motoyuki, et al.. (2023). Designing rice panicle architecture via developmental regulatory genes. Breeding Science. 73(1). 86–94. 4 indexed citations
7.
Kishi‐Kaboshi, Mitsuko, K. Abe, Sae Shimizu‐Sato, et al.. (2023). Post-embryonic function of GLOBULAR EMBRYO 4 (GLE4)/OsMPK6 in rice development. Plant Biotechnology. 40(1). 9–13. 1 indexed citations
8.
Nishiuchi, Shunsaku, Hirokazu Takahashi, Mikio Nakazono, et al.. (2021). WUSCHEL-related homeobox family genes in rice control lateral root primordium size. Proceedings of the National Academy of Sciences. 119(1). 40 indexed citations
9.
Tonosaki, Kaoru, A. Ono, Shingo Sakamoto, et al.. (2020). Mutation of the imprinted geneOsEMF2ainduces autonomous endosperm development and delayed cellularization in rice. The Plant Cell. 33(1). 85–103. 32 indexed citations
10.
Peterson, Kylee M., Christine Shyu, Robin J. Horst, et al.. (2013). Arabidopsis homeodomain-leucine zipper IV proteins promote stomatal development and ectopically induce stomata beyond the epidermis. Development. 140(9). 1924–1935. 80 indexed citations
11.
Tsuda, Katsutoshi, Yukihiro Ito, Yutaka Sato, & Nori Kurata. (2011). Positive Autoregulation of a KNOX Gene Is Essential for Shoot Apical Meristem Maintenance in Rice  . The Plant Cell. 23(12). 4368–4381. 150 indexed citations
12.
Ogawa, Daisuke, K. Abe, Akio Miyao, et al.. (2011). RSS1 regulates the cell cycle and maintains meristematic activity under stress conditions in rice. Nature Communications. 2(1). 278–278. 72 indexed citations
13.
Nagasaki, Hiroshi, J. Itoh, Ken‐ichiro Hibara, et al.. (2007). The small interfering RNA production pathway is required for shoot meristem initiation in rice. Proceedings of the National Academy of Sciences. 104(37). 14867–14871. 203 indexed citations
14.
15.
Sato, Yutaka, Yasuhito Yamamoto, & Harutoshi Kizaki. (2000). Construction of region-specific partial duplication mutants (merodiploid mutants) to identify the regulatory gene for the glucan-binding protein C gene in vivo in Streptococcus mutans. FEMS Microbiology Letters. 186(2). 187–191. 31 indexed citations
16.
Suzuki, Akari, Masami Nakano, Eiichi Bando, et al.. (1997). The Analysis of Chewing Movement in Six Degree-of-freedom. 41(97). 37. 1 indexed citations
17.
Taniyama, Matsuo, Yoshihiko Suzuki, Yutaka Sato, et al.. (1995). Specific PCR Amplification for Detection of the Mutation of Mitochondrial DNA in Diabetic Patients.. 38(5). 401–404. 1 indexed citations
18.
Sato, Yutaka, Makoto Nagai, Tetsuo Mikami, & Toshiro Kinoshita. (1994). Use of Mitochondrial DNA Polymorphism in the Classification of Individual Onion Plants by Cytoplasmic Genotypes. Japan Agricultural Research Quarterly JARQ. 28(4). 225–229. 1 indexed citations
19.
Sato, Yutaka. (1960). EFFECT OF STREPTOMYCIN ON THE CHLOROPHYLL FORMATION IN THE TIMOTHY:III. FURTHER STUDIES ON THE EFFECT OF METAL SALTS UPON THE STREPTOMYCIN-TREATED SEEDS (UNDER A RESTING CONDITION). The Keio Journal of Medicine. 9(3). 189–197. 2 indexed citations
20.
Sato, Yutaka. (1960). EFFECT OF STREPTOMYCIN ON THE CHLOROPHYLL FORMATION IN THE TIMOTHY:II. INFLUENCES OF INORGANIC SALTS UPON THE STREPTOMYCIN EFFECT ON THE TIMOTHY SEEDS (UNDER A RESTING CONDITION). The Keio Journal of Medicine. 9(1). 25–32. 5 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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