Ikuo Ashikawa

2.5k total citations
43 papers, 2.0k citations indexed

About

Ikuo Ashikawa is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Ikuo Ashikawa has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 21 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Ikuo Ashikawa's work include Plant Disease Resistance and Genetics (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Ikuo Ashikawa is often cited by papers focused on Plant Disease Resistance and Genetics (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). Ikuo Ashikawa collaborates with scholars based in Japan, China and Philippines. Ikuo Ashikawa's co-authors include Keiko Hayashi, Noriaki Hashimoto, Hitoshi Yoshida, Takashi Matsumoto, Shingo Nakamura, Akira Ikegami, Kazuhiko Kinosita, Fumitaka Abe, Koichi Itoh and Nagao Hayashi and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Genetics.

In The Last Decade

Ikuo Ashikawa

43 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ikuo Ashikawa Japan 21 1.3k 804 464 178 172 43 2.0k
Lothar Altschmied Germany 32 1.8k 1.4× 1.7k 2.1× 307 0.7× 69 0.4× 51 0.3× 51 2.7k
Roger W. Parish Switzerland 32 2.2k 1.7× 2.4k 3.0× 96 0.2× 112 0.6× 174 1.0× 84 3.3k
Pedro Soares De Araujo Brazil 22 259 0.2× 1.1k 1.4× 239 0.5× 129 0.7× 322 1.9× 61 1.7k
Ian Moore United Kingdom 24 1.8k 1.4× 1.9k 2.4× 61 0.1× 257 1.4× 67 0.4× 44 2.5k
Klaus Adler Germany 20 520 0.4× 1.1k 1.4× 187 0.4× 103 0.6× 81 0.5× 41 1.4k
Imogen Sparkes United Kingdom 35 2.4k 1.8× 3.0k 3.8× 72 0.2× 164 0.9× 117 0.7× 55 4.3k
Robert W. Thornburg United States 32 1.5k 1.2× 1.7k 2.1× 159 0.3× 251 1.4× 22 0.1× 61 2.9k
Daniel Karcher Germany 30 686 0.5× 2.4k 3.0× 195 0.4× 399 2.2× 73 0.4× 47 2.8k
Gang‐Won Cheong South Korea 22 531 0.4× 1.7k 2.2× 105 0.2× 95 0.5× 44 0.3× 46 2.2k
Yutaka Kodama Japan 24 1.2k 0.9× 1.7k 2.2× 68 0.1× 156 0.9× 117 0.7× 99 2.3k

Countries citing papers authored by Ikuo Ashikawa

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Ashikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Ashikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Ashikawa. A scholar is included among the top collaborators of Ikuo Ashikawa 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 Ikuo Ashikawa. Ikuo Ashikawa 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.
Utsugi, Shigeko, Ikuo Ashikawa, Shingo Nakamura, & Mineo Shibasaka. (2020). TaABI5, a wheat homolog of Arabidopsis thaliana ABA insensitive 5, controls seed germination. Journal of Plant Research. 133(2). 245–256. 29 indexed citations
2.
Ashikawa, Ikuo, Masahiko Mori, Shingo Nakamura, & Fumitaka Abe. (2014). A transgenic approach to controlling wheat seed dormancy level by using Triticeae DOG1-like genes. Transgenic Research. 23(4). 621–629. 43 indexed citations
3.
Ashikawa, Ikuo, Fumitaka Abe, & Shingo Nakamura. (2013). DOG1-like genes in cereals: Investigation of their function by means of ectopic expression in Arabidopsis. Plant Science. 208. 1–9. 31 indexed citations
4.
Wu, Jianzhong, Caixia Chen, Weihuai Wu, et al.. (2012). The isolation of Pi1, an allele at the Pik locus which confers broad spectrum resistance to rice blast. Theoretical and Applied Genetics. 125(5). 1047–1055. 128 indexed citations
5.
Ashikawa, Ikuo, Fumitaka Abe, & Shingo Nakamura. (2010). Ectopic expression of wheat and barley DOG1-like genes promotes seed dormancy in Arabidopsis. Plant Science. 179(5). 536–542. 56 indexed citations
6.
Tabuchi, Hiroaki, Yoichiro Sato, & Ikuo Ashikawa. (2007). Mosaic Structure of Japanese Rice Genome Composed Mainly of Two Distinct Genotypes. Breeding Science. 57(3). 213–221. 4 indexed citations
7.
Hayashi, Keiko, Hitoshi Yoshida, & Ikuo Ashikawa. (2006). Development of PCR-based allele-specific and InDel marker sets for nine rice blast resistance genes. Theoretical and Applied Genetics. 113(2). 251–260. 183 indexed citations
8.
Ashikawa, Ikuo, Hisataka Numa, & Katsumi Sakata. (2005). Segmental distribution of genes harboring a CpG island-like region on rice chromosomes. Molecular Genetics and Genomics. 275(1). 18–25. 4 indexed citations
9.
Hayashi, Keiko, et al.. (2004). Development of PCR-based SNP markers for rice blast resistance genes at the Piz locus. Theoretical and Applied Genetics. 108(7). 1212–1220. 259 indexed citations
10.
Ashikawa, Ikuo. (2002). Gene-associated CpG Islands and the Expression Pattern of Genes in Rice. DNA Research. 9(4). 131–134. 6 indexed citations
11.
Ashikawa, Ikuo. (2001). Gene‐associated CpG islands in plants as revealed by analyses of genomic sequences. The Plant Journal. 26(6). 617–625. 52 indexed citations
12.
Ohmido, Nobuko, et al.. (2001). Visualization of the terminal structure of rice chromosomes 6 and 12 with multicolor FISH to chromosomes and extended DNA fibers. Plant Molecular Biology. 47(3). 413–421. 39 indexed citations
13.
Ashikawa, Ikuo. (2001). Surveying CpG methylation at 5′-CCGG in the genomes of rice cultivars. Plant Molecular Biology. 45(1). 31–39. 84 indexed citations
14.
Umehara, Yosuke, Hiroshi Tanoue, N. Kurata, et al.. (1996). An ordered yeast artificial chromosome library covering over half of rice chromosome 6.. Genome Research. 6(10). 935–942. 25 indexed citations
15.
16.
Zhong, Hui, Akio Miyao, Ikuo Ashikawa, et al.. (1994). Sequence-tagged sites (STSs) as standard landmarkers in the rice genome. Theoretical and Applied Genetics. 89(6). 728–734. 53 indexed citations
17.
Ashikawa, Ikuo. (1994). Cloning and Mapping of Telomere-Associated Sequences from Rice. DNA Research. 1(2). 67–76. 24 indexed citations
18.
Kinosita, Kazuhiko, Ikuo Ashikawa, Hideaki� Yoshimura, et al.. (1988). Electroporation of cell membrane visualized under a pulsed-laser fluorescence microscope. Biophysical Journal. 53(6). 1015–1019. 203 indexed citations
19.
Ashikawa, Ikuo, Kazuhiko Kinosita, Akira Ikegami, et al.. (1983). Internal motion of deoxyribonucleic acid in chromatin. Nanosecond fluorescence studies of intercalated ethidium. Biochemistry. 22(25). 6018–6026. 32 indexed citations
20.
Ashikawa, Ikuo, Yoshifumi Nishimura, Masamichi Tsuboi, & Mitsuo Zama. (1982). Micro-Environment of the H3-H3 Contact Region of a Nucleosome Core Particle, as Revealed by a Lifetime Measurement of a Fluorescent Probe1. The Journal of Biochemistry. 92(5). 1425–1430. 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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