Yasuo Nagato

9.9k total citations · 2 hit papers
98 papers, 7.7k citations indexed

About

Yasuo Nagato is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yasuo Nagato has authored 98 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Plant Science, 69 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Yasuo Nagato's work include Plant Molecular Biology Research (63 papers), Plant Reproductive Biology (60 papers) and Plant nutrient uptake and metabolism (17 papers). Yasuo Nagato is often cited by papers focused on Plant Molecular Biology Research (63 papers), Plant Reproductive Biology (60 papers) and Plant nutrient uptake and metabolism (17 papers). Yasuo Nagato collaborates with scholars based in Japan, United States and United Kingdom. Yasuo Nagato's co-authors include Hidemi Kitano, Jun-Ichi Itoh, Nobuhiro Nagasawa, Kyoko Ikeda, Junko Kyozuka, Hiroyuki Hirano, Masahiko Maekawa, Makoto Matsuoka, Hikaru Satoh and Hitoshi Sakakibara and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Plant Cell.

In The Last Decade

Yasuo Nagato

98 papers receiving 7.5k citations

Hit Papers

Direct control of shoot m... 2005 2026 2012 2019 2007 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuo Nagato Japan 44 7.2k 4.7k 1.5k 636 214 98 7.7k
Yoshiaki Nagamura Japan 44 8.2k 1.1× 3.2k 0.7× 2.6k 1.8× 248 0.4× 274 1.3× 77 9.1k
D. S. Brar Philippines 33 4.9k 0.7× 1.6k 0.3× 1.9k 1.3× 275 0.4× 121 0.6× 89 5.3k
Zhukuan Cheng China 54 7.3k 1.0× 5.5k 1.2× 1.5k 1.0× 421 0.7× 143 0.7× 172 8.9k
Guojun Dong China 39 6.9k 1.0× 2.5k 0.5× 3.3k 2.3× 240 0.4× 292 1.4× 132 7.6k
Brian P. Dilkes United States 35 3.5k 0.5× 2.4k 0.5× 714 0.5× 303 0.5× 183 0.9× 87 4.2k
Nam‐Chon Paek South Korea 44 6.1k 0.9× 4.6k 1.0× 652 0.4× 175 0.3× 177 0.8× 111 6.8k
Junko Kyozuka Japan 56 11.9k 1.7× 5.9k 1.3× 2.2k 1.5× 3.1k 4.9× 435 2.0× 117 13.0k
Andy Pereira United States 44 7.3k 1.0× 4.4k 0.9× 616 0.4× 285 0.4× 192 0.9× 118 8.3k
Tingdong Fu China 40 3.6k 0.5× 3.5k 0.7× 587 0.4× 228 0.4× 148 0.7× 206 4.8k
Jian Wu China 35 3.9k 0.5× 3.2k 0.7× 602 0.4× 241 0.4× 57 0.3× 104 4.8k

Countries citing papers authored by Yasuo Nagato

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Nagato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Nagato

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Nagato. A scholar is included among the top collaborators of Yasuo Nagato 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 Yasuo Nagato. Yasuo Nagato 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.
Hibara, Ken‐ichiro, Naoki Sentoku, Mikiko Kojima, et al.. (2016). Jasmonate regulates juvenile-adult phase transition in rice. Development. 143(18). 3407–16. 57 indexed citations
2.
Nagasawa, Nobuhiro, Ken‐ichiro Hibara, Stanley Luck, et al.. (2013). GIANT EMBRYO encodes CYP78A13, required for proper size balance between embryo and endosperm in rice. The Plant Journal. 75(4). 592–605. 109 indexed citations
3.
Yoshikawa, Takanori, et al.. (2013). Change of shoot architecture during juvenile-to-adult phase transition in soybean. Planta. 238(1). 229–237. 36 indexed citations
4.
Yoshikawa, Takanori, et al.. (2013). Rice SLENDER LEAF 1 gene encodes cellulose synthase-like D4 and is specifically expressed in M-phase cells to regulate cell proliferation. Journal of Experimental Botany. 64(7). 2049–2061. 64 indexed citations
5.
Itoh, Jun-Ichi, et al.. (2012). Role of Transposon-Derived Small RNAs in the Interplay between Genomes and Parasitic DNA in Rice. PLoS Genetics. 8(9). e1002953–e1002953. 62 indexed citations
6.
Tanaka, Nobuhiro, Hironori Itoh, Naoki Sentoku, et al.. (2011). The COP1 Ortholog PPS Regulates the Juvenile–Adult and Vegetative–Reproductive Phase Changes in Rice  . The Plant Cell. 23(6). 2143–2154. 71 indexed citations
8.
Hibara, Ken‐ichiro, Mari Obara, Masashi Abe, et al.. (2009). The ADAXIALIZED LEAF1 gene functions in leaf and embryonic pattern formation in rice. Developmental Biology. 334(2). 345–354. 92 indexed citations
9.
Horigome, Ayako, Nobuhiro Nagasawa, Kyoko Ikeda, et al.. (2009). Rice OPEN BEAK is a negative regulator of class 1 knox genes and a positive regulator of class B floral homeotic gene. The Plant Journal. 58(5). 724–736. 41 indexed citations
10.
Abe, Masashi, et al.. (2008). The rice FLATTENED SHOOT MERISTEM, encoding CAF-1 p150 subunit, is required for meristem maintenance by regulating the cell-cycle period. Developmental Biology. 319(2). 384–393. 20 indexed citations
11.
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
12.
Yoshida, Hitoshi, Jun‐ichi Itoh, Shinnosuke Ohmori, et al.. (2007). superwoman1‐cleistogamy, a hopeful allele for gene containment in GM rice. Plant Biotechnology Journal. 5(6). 835–846. 72 indexed citations
13.
Suzuki, Tadzunu, Mitsugu Eiguchi, Toshihiro Kumamaru, et al.. (2007). MNU-induced mutant pools and high performance TILLING enable finding of any gene mutation in rice. Molecular Genetics and Genomics. 279(3). 213–223. 145 indexed citations
14.
Kawakatsu, Taiji, Jun-Ichi Itoh, Kazumaru Miyoshi, et al.. (2006). PLASTOCHRON2 Regulates Leaf Initiation and Maturation in Rice. The Plant Cell. 18(3). 612–625. 77 indexed citations
15.
Itoh, Jun-Ichi, Yutaka Sato, Yasuo Nagato, & Makoto Matsuoka. (2006). Formation, Maintenance and Function of the Shoot Apical Meristem in Rice. Plant Molecular Biology. 60(6). 827–842. 15 indexed citations
16.
Yamaguchi, Takahiro, Nobuhiro Nagasawa, Shinji Kawasaki, et al.. (2004). The YABBY Gene DROOPING LEAF Regulates Carpel Specification and Midrib Development in Oryza sativa  [W]. The Plant Cell. 16(2). 500–509. 358 indexed citations
17.
Komatsu, Mai, et al.. (2003). FRIZZY PANICLEis required to prevent the formation of axillary meristems and to establish floral meristem identity in rice spikelets. Development. 130(16). 3841–3850. 285 indexed citations
18.
Nagasawa, Nobuhiro, Masahiro Miyoshi, Yoshio Sano, et al.. (2003). SUPERWOMAN1 and DROOPING LEAFgenes control floral organ identity in rice. Development. 130(4). 705–718. 328 indexed citations
19.
Kamiya, Noriko, Asuka Nishimura, Naoki Sentoku, et al.. (2003). Rice globular embryo 4 (gle4) Mutant is Defective in Radial Pattern Formation during Embryogenesis. Plant and Cell Physiology. 44(9). 875–883. 15 indexed citations
20.
Kojima, A. & Yasuo Nagato. (1992). Pseudogamous embryogenesis and the degree of parthenogenesis inAllium tuberosum. Sexual Plant Reproduction. 5(1). 79–85. 17 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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