Nagao Hayashi

6.9k total citations · 1 hit paper
72 papers, 5.1k citations indexed

About

Nagao Hayashi is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Nagao Hayashi has authored 72 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 28 papers in Molecular Biology and 18 papers in Cell Biology. Recurrent topics in Nagao Hayashi's work include Plant-Microbe Interactions and Immunity (37 papers), Plant Disease Resistance and Genetics (21 papers) and Plant Pathogens and Fungal Diseases (18 papers). Nagao Hayashi is often cited by papers focused on Plant-Microbe Interactions and Immunity (37 papers), Plant Disease Resistance and Genetics (21 papers) and Plant Pathogens and Fungal Diseases (18 papers). Nagao Hayashi collaborates with scholars based in Japan, China and Philippines. Nagao Hayashi's co-authors include Hiroshi Takatsuji, Takayuki Asano, Masahiro Yano, Haruhiko Inoue, Hirohiko Hirochika, Shoji Sugano, Lam‐Son Phan Tran, Kyonoshin Maruyama, Yusuke Ito and Kazuo Shinozaki and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Nagao Hayashi

72 papers receiving 5.0k citations

Hit Papers

Functional analysis of a NAC‐type transcription factor Os... 2007 2026 2013 2019 2007 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
Nagao Hayashi Japan 30 4.8k 2.2k 743 644 133 72 5.1k
Tsuneaki Asai United States 17 3.3k 0.7× 2.1k 1.0× 342 0.5× 342 0.5× 128 1.0× 21 4.1k
Hiroshi Takatsuji Japan 40 5.1k 1.1× 3.1k 1.4× 381 0.5× 340 0.5× 203 1.5× 76 5.7k
Hiroyuki Kanzaki Japan 21 3.1k 0.7× 1.4k 0.6× 601 0.8× 452 0.7× 74 0.6× 26 3.5k
Gurmukh S. Johal United States 30 3.4k 0.7× 1.7k 0.8× 668 0.9× 259 0.4× 98 0.7× 64 3.9k
Amir Sherman Israel 32 2.3k 0.5× 1.7k 0.8× 387 0.5× 605 0.9× 235 1.8× 71 3.3k
Brent McCallum Canada 40 4.9k 1.0× 1.4k 0.6× 852 1.1× 611 0.9× 61 0.5× 185 5.1k
Thomas Kroj France 30 5.0k 1.1× 2.6k 1.2× 190 0.3× 617 1.0× 141 1.1× 57 5.5k
David Kudrna United States 30 2.9k 0.6× 1.3k 0.6× 950 1.3× 224 0.3× 65 0.5× 59 3.5k
Joseph D. Clarke United States 17 3.6k 0.7× 1.5k 0.7× 492 0.7× 188 0.3× 251 1.9× 23 4.0k
Narayana M. Upadhyaya Australia 35 2.9k 0.6× 1.8k 0.8× 293 0.4× 225 0.3× 74 0.6× 71 3.3k

Countries citing papers authored by Nagao Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Nagao Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nagao Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Nagao Hayashi. A scholar is included among the top collaborators of Nagao Hayashi 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 Nagao Hayashi. Nagao Hayashi 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.
Kitazawa, Noriyuki, Ayahiko Shomura, Tatsumi Mizubayashi, et al.. (2024). Development of SNP genotyping assays for heading date in rice. Breeding Science. 74(3). 274–284. 2 indexed citations
3.
Saito, Hiroki, Mitsuru Nakamura, Akihiro Ikeda, et al.. (2022). Characterization of Six Partial Resistance Genes and One Quantitative Trait Locus to Blast Disease Using Near Isogenic Lines with a Susceptible Genetic Background of Indica Group Rice (Oryza sativa). SHILAP Revista de lepidopterología. 2(3). 230–241. 2 indexed citations
4.
Hairmansis, Aris, et al.. (2020). Pathogenicity of Isolates of the Rice Blast Pathogen (Pyricularia oryzae) From Indonesia. Plant Disease. 105(3). 675–683. 19 indexed citations
5.
Fukuta, Yoshimichi, et al.. (2020). Pathogenicity of Rice Blast (<i>Pyricularia oryzae</i> Cavara) Isolates from Mekong River Delta, Vietnam. Japan Agricultural Research Quarterly JARQ. 54(3). 239–252. 1 indexed citations
6.
Nagai, Keisuke, Yoshinao Mori, Yosuke Toda, et al.. (2018). Rice leaf hydrophobicity and gas films are conferred by a wax synthesis gene (LGF1) and contribute to flood tolerance. New Phytologist. 218(4). 1558–1569. 73 indexed citations
7.
Takatsuji, Hiroshi & Nagao Hayashi. (2017). Broad-Spectrum Blast Resistance: Harnessing a Natural Allele of a Transcription Factor in Rice. Molecular Plant. 10(9). 1144–1146. 2 indexed citations
8.
Goto, Shingo, et al.. (2015). Development of disease‐resistant rice by pathogen‐responsive expression of WRKY45. Plant Biotechnology Journal. 14(4). 1127–1138. 32 indexed citations
9.
Fukuoka, Shuichi, Norikuni Saka, Yuko Mizukami, et al.. (2015). Gene pyramiding enhances durable blast disease resistance in rice. Scientific Reports. 5(1). 7773–7773. 139 indexed citations
10.
Yamaguchi, Koji, Kenta Yamada, Kazuya Ishikawa, et al.. (2013). A Receptor-like Cytoplasmic Kinase Targeted by a Plant Pathogen Effector Is Directly Phosphorylated by the Chitin Receptor and Mediates Rice Immunity. Cell Host & Microbe. 13(3). 347–357. 218 indexed citations
11.
Asano, Takayuki, Nagao Hayashi, Shoshi Kikuchi, & Ryu Ohsugi. (2012). CDPK-mediated abiotic stress signaling. Plant Signaling & Behavior. 7(7). 817–821. 174 indexed citations
12.
Matsushita, Akane, Haruhiko Inoue, Shingo Goto, et al.. (2012). Nuclear ubiquitin proteasome degradation affects WRKY45 function in the rice defense program. The Plant Journal. 73(2). 302–313. 101 indexed citations
14.
Jiang, Chang‐Jie, Masaki Shimono, Shoji Sugano, et al.. (2010). Abscisic Acid Interacts Antagonistically with Salicylic Acid Signaling Pathway in Rice–Magnaporthe griseaInteraction. Molecular Plant-Microbe Interactions. 23(6). 791–798. 218 indexed citations
15.
Hayashi, Nagao, Haruhiko Inoue, Takahiro A. Kato, et al.. (2010). Durable panicle blast-resistance gene Pb1 encodes an atypical CC-NBS-LRR protein and was generated by acquiring a promoter through local genome duplication. The Plant Journal. 64(3). 498–510. 217 indexed citations
16.
Mori, Masaki, Kazuhiko Sugimoto, Morifumi Hasegawa, et al.. (2007). Isolation and molecular characterization of a Spotted leaf 18 mutant by modified activation-tagging in rice. Plant Molecular Biology. 63(6). 847–860. 98 indexed citations
17.
Asano, Takayuki, Naoki Tanaka, Guangxiao Yang, Nagao Hayashi, & Setsuko Komatsu. (2005). Genome-wide Identification of the Rice Calcium-dependent Protein Kinase and its Closely Related Kinase Gene Families: Comprehensive Analysis of the CDPKs Gene Family in Rice. Plant and Cell Physiology. 46(2). 356–366. 245 indexed citations
18.
Hayashi, Nagao, et al.. (1964). Studies on the Experimental Shigella Infections in the Monkies. Nippon Saikingaku Zasshi. 19(1). 16–19. 1 indexed citations
19.
Hayashi, Nagao, et al.. (1964). Studies on the Experimental Shigella Infections in the Monkies. Nippon Saikingaku Zasshi. 19(4). 131–134. 1 indexed citations
20.
Hayashi, Nagao, et al.. (1962). Studies on the experimental Shigella infections in the monkies. Nippon Saikingaku Zasshi. 17(4). 282–285. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026