Yūichi Katayose

7.5k total citations · 3 hit papers
72 papers, 4.9k citations indexed

About

Yūichi Katayose is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Yūichi Katayose has authored 72 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 38 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Yūichi Katayose's work include Genetic Mapping and Diversity in Plants and Animals (14 papers), Chromosomal and Genetic Variations (14 papers) and Plant Disease Resistance and Genetics (13 papers). Yūichi Katayose is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (14 papers), Chromosomal and Genetic Variations (14 papers) and Plant Disease Resistance and Genetics (13 papers). Yūichi Katayose collaborates with scholars based in Japan, United States and China. Yūichi Katayose's co-authors include Takuji Sasaki, Masahiro Yano, Utako Yamanouchi, Lisa Monna, Yosuke Umehara, Yoshiaki Nagamura, Motoyuki Ashikari, Tomoya Baba, Takuichi Fuse and Kimiko Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yūichi Katayose

70 papers receiving 4.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hd1, a Major Photoperiod Sensitivity Quantitative Trait Locus in Rice, Is Closely Related to the Arabidopsis Flowering Time Gene CONSTANS

2000 1.3k citations Masahiro Yano, Yūichi Katayose et al. profile →
Efficient Promoter Cassettes for Enhanced Expression of Foreign Genes in Dicotyledonous and Monocotyledonous Plants

1996 516 citations Hirohiko Hirochika, Yūichi Katayose et al. Plant and Cell Physiology profile →
Expression of Xa1 , a bacterial blight-resistance gene in rice, is induced by bacterial inoculation

1998 512 citations Utako Yamanouchi, Yūichi Katayose et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yūichi Katayose Japan	29	4.3k	2.1k	1.3k	285	201	72	4.9k
Wangzhen Guo China	45	6.4k 1.5×	2.0k 1.0×	494 0.4×	199 0.7×	89 0.4×	215	6.9k
Hiroshi Takatsuji Japan	40	5.1k 1.2×	3.1k 1.5×	381 0.3×	340 1.2×	164 0.8×	76	5.7k
Gurmukh S. Johal United States	30	3.4k 0.8×	1.7k 0.8×	668 0.5×	259 0.9×	87 0.4×	64	3.9k
S. D. Tanksley United States	34	6.6k 1.5×	2.1k 1.0×	2.9k 2.3×	350 1.2×	131 0.7×	54	7.5k
David Kudrna United States	30	2.9k 0.7×	1.3k 0.6×	950 0.7×	224 0.8×	49 0.2×	59	3.5k
Xiuping Guo China	44	4.9k 1.2×	2.4k 1.1×	1.8k 1.4×	140 0.5×	142 0.7×	92	5.7k
Qian‐Hao Zhu Australia	40	4.1k 0.9×	3.0k 1.4×	425 0.3×	137 0.5×	93 0.5×	154	5.2k
Nagao Hayashi Japan	30	4.8k 1.1×	2.2k 1.0×	743 0.6×	644 2.3×	110 0.5×	72	5.1k
Brieanne Vaillancourt United States	29	2.4k 0.6×	1.8k 0.8×	852 0.7×	129 0.5×	84 0.4×	55	3.5k
Kenta Shirasawa Japan	37	3.6k 0.8×	1.9k 0.9×	773 0.6×	233 0.8×	54 0.3×	191	4.3k

Countries citing papers authored by Yūichi Katayose

Since Specialization

Citations

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

Fields of papers citing papers by Yūichi Katayose

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yūichi Katayose

This figure shows the co-authorship network connecting the top 25 collaborators of Yūichi Katayose. A scholar is included among the top collaborators of Yūichi Katayose 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 Yūichi Katayose. Yūichi Katayose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kageyama, Daisuke, Mizuki Ohno, Atsuo Yoshido, et al.. (2017). Feminizing Wolbachia endosymbiont disrupts maternal sex chromosome inheritance in a butterfly species. Evolution Letters. 1(5). 232–244. 37 indexed citations

Sasaki, Katsutomo, Nobutaka Mitsuda, Kyutaro Kishimoto, et al.. (2017). Generation of expressed sequence tags for discovery of genes responsible for floral traits of Chrysanthemum morifolium by next-generation sequencing technology. BMC Genomics. 18(1). 683–683. 27 indexed citations

Shimomura, Michihiko, Hiroyuki Kanamori, Setsuko Komatsu, et al.. (2015). TheGlycine maxcv. Enrei Genome for Improvement of Japanese Soybean Cultivars. International Journal of Genomics. 2015. 1–8. 33 indexed citations

Tsuda, Mai, Akito Kaga, Toyoaki Anai, et al.. (2015). Construction of a high-density mutant library in soybean and development of a mutant retrieval method using amplicon sequencing. BMC Genomics. 16(1). 1014–1014. 75 indexed citations

Nishizawa‐Yokoi, Ayako, Tomáš Čermák, Tomoki Hoshino, et al.. (2015). A Defect in DNA Ligase4 Enhances the Frequency of TALEN-Mediated Targeted Mutagenesis in Rice. PLANT PHYSIOLOGY. 170(2). 653–666. 42 indexed citations

Hayashi, Masaki, Hiroyuki Kanamori, Takashi Sayama, et al.. (2014). A Thaumatin-Like Protein, Rj4, Controls Nodule Symbiotic Specificity in Soybean. Plant and Cell Physiology. 55(9). 1679–1689. 63 indexed citations

Sakai, Hiroaki, Hajime Kanamori, Kaworu Ebana, et al.. (2014). Construction of Pseudomolecule Sequences of the aus Rice Cultivar Kasalath for Comparative Genomics of Asian Cultivated Rice. DNA Research. 21(4). 397–405. 46 indexed citations

Tsubokura, Yasutaka, Satoshi Watanabe, Zhengjun Xia, et al.. (2013). Natural variation in the genes responsible for maturity loci E1, E2, E3 and E4 in soybean. Annals of Botany. 113(3). 429–441. 130 indexed citations

Jouraku, Akiya, Kimiko Yamamoto, Seigo Kuwazaki, et al.. (2013). KONAGAbase: a genomic and transcriptomic database for the diamondback moth, Plutella xylostella. BMC Genomics. 14(1). 464–464. 45 indexed citations

10.

Tsubokura, Yasutaka, Makita Hajika, Hiroyuki Kanamori, et al.. (2011). The β-conglycinin deficiency in wild soybean is associated with the tail-to-tail inverted repeat of the α-subunit genes. Plant Molecular Biology. 78(3). 301–309. 17 indexed citations

11.

Miyao, Akio, Harumi Yamagata, Hiroyuki Kanamori, et al.. (2011). Molecular Spectrum of Somaclonal Variation in Regenerated Rice Revealed by Whole-Genome Sequencing. Plant and Cell Physiology. 53(1). 256–264. 92 indexed citations

12.

Mizuno, Hiroshi, Jian Wu, Yūichi Katayose, et al.. (2008). Characterization of chromosome ends on the basis of the structure of TrsA subtelomeric repeats in rice (Oryza sativa L.). Molecular Genetics and Genomics. 280(1). 19–24. 8 indexed citations

13.

Matsumoto, Takashi, Jianzhong Wu, Tomoya Baba, et al.. (2007). Rice Genomics: Current Status of Genome Sequencing. Novartis Foundation symposium. 236. 28–45.

14.

Mizuno, Hiroshi, Jian Wu, Hiroyuki Kanamori, et al.. (2006). Sequencing and characterization of telomere and subtelomere regions on rice chromosomes 1S, 2S, 2L, 6L, 7S, 7L and 8S. The Plant Journal. 46(2). 206–217. 45 indexed citations

15.

Wang, Zixuan, Utako Yamanouchi, Yūichi Katayose, Takuji Sasaki, & Masahiro Yano. (2001). Expression of the Pib rice-blast-resistance gene family is up-regulated by environmental conditions favouring infection and by chemical signals that trigger secondary plant defences. Plant Molecular Biology. 47(5). 653–661. 77 indexed citations

16.

Wang, Zixuan, Masahiro Yano, Utako Yamanouchi, et al.. (1999). The Pib gene for rice blast resistance belongs to the nucleotide binding and leucine‐rich repeat class of plant disease resistance genes. The Plant Journal. 19(1). 55–64. 440 indexed citations

17.

Kurata, N., et al.. (1995). A chromosome 5-specific repetitive DNA sequence in rice (Oryza sativa L). Theoretical and Applied Genetics. 90(7-8). 907–913. 21 indexed citations

18.

Katayose, Yūichi, Susumu Kajiwara, & Kazuo Shishido. (1990). The basidiomyceteLentinus edodeslinear mitochondrial DNA plasmid contains a segment exhibiting a high autonomously replicating sequence activity inSaccharomyces cerevisiae. Nucleic Acids Research. 18(6). 1395–1400. 27 indexed citations

19.

Katayose, Yūichi, et al.. (1988). Intracellular levels of cyclic AMP and adenylate cyclase activity during mycelial development in fruiting body formation in Lentinus edodes. FEMS Microbiology Letters. 55(3). 275–278. 28 indexed citations

20.

Katayose, Yūichi, et al.. (1988). Two linear plasmid-like DNA elements simultaneously maintained in Pleurotus ostreatus. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 951(1). 53–60. 20 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