Seiji Yanagihara

1.5k total citations
41 papers, 1.1k citations indexed

About

Seiji Yanagihara is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Seiji Yanagihara has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 21 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Seiji Yanagihara's work include Rice Cultivation and Yield Improvement (24 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and GABA and Rice Research (13 papers). Seiji Yanagihara is often cited by papers focused on Rice Cultivation and Yield Improvement (24 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and GABA and Rice Research (13 papers). Seiji Yanagihara collaborates with scholars based in Japan, Philippines and Ivory Coast. Seiji Yanagihara's co-authors include H. Ikehashi, Yoshimichi Fukuta, Matthias Wissuwa, Abdelbagi M. Ismail, Shinji Kawasaki, Aya Shimizu, Nobuya Kobayashi, Yohei Koide, Daisuke Fujita and Mitsuhiro Obara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Theoretical and Applied Genetics.

In The Last Decade

Seiji Yanagihara

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Yanagihara Japan 17 1.0k 509 190 76 64 41 1.1k
Nobuya Kobayashi Japan 21 1.3k 1.3× 663 1.3× 210 1.1× 73 1.0× 102 1.6× 61 1.4k
Yuka Madoka Japan 14 870 0.8× 454 0.9× 302 1.6× 19 0.3× 21 0.3× 19 1.0k
S. L. Krishnamurthy India 20 1.1k 1.0× 473 0.9× 144 0.8× 56 0.7× 7 0.1× 53 1.2k
Adam Famoso United States 11 919 0.9× 314 0.6× 146 0.8× 9 0.1× 40 0.6× 33 990
Alagu Manickavelu Japan 15 894 0.9× 292 0.6× 128 0.7× 31 0.4× 52 0.8× 33 980
Ramaiah Venuprasad Philippines 21 2.0k 1.9× 909 1.8× 75 0.4× 74 1.0× 9 0.1× 34 2.1k
Showkat Ahmad Ganie India 22 1.1k 1.1× 244 0.5× 349 1.8× 18 0.2× 20 0.3× 39 1.2k
Yanhui Chen China 15 883 0.8× 378 0.7× 318 1.7× 32 0.4× 14 0.2× 40 981
Dominique This France 24 1.8k 1.7× 533 1.0× 253 1.3× 42 0.6× 20 0.3× 41 1.9k

Countries citing papers authored by Seiji Yanagihara

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Yanagihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Yanagihara

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Yanagihara. A scholar is included among the top collaborators of Seiji Yanagihara 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 Seiji Yanagihara. Seiji Yanagihara 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.
Fukuta, Yoshimichi, Mary Jeanie Telebanco‐Yanoria, Yohei Koide, et al.. (2022). Near-isogenic lines for resistance to blast disease, in the genetic background of the Indica Group rice (Oryza sativa L.) cultivar IR64. Field Crops Research. 282. 108506–108506. 3 indexed citations
2.
Fukuta, Yoshimichi, Seiji Yanagihara, Mitsuhiro Obara, et al.. (2019). Genetic variation of blast (<i>Pyricularia oryzae</i> Cavara) resistance in rice (<i>Oryza sativa</i> L.) accessions widely used in Kenya. Breeding Science. 69(4). 672–679. 6 indexed citations
3.
Fukuta, Yoshimichi, et al.. (2019). Pathogenicities of Rice Blast (Pyricularia oryzae Cavara) Isolates From Kenya. Plant Disease. 103(12). 3181–3188. 14 indexed citations
4.
Koide, Yohei, et al.. (2017). Genetic variation in blast resistance in rice germplasm from West Africa. Breeding Science. 67(5). 500–508. 10 indexed citations
5.
Obara, Mitsuhiro, et al.. (2016). Identification of a low tiller gene from a new plant type cultivar in rice (<i>Oryza sativa</i> L.). Breeding Science. 66(5). 790–796. 8 indexed citations
6.
Yanagihara, Seiji, et al.. (2015). Diversity and Distribution of Rice Blast (Pyricularia oryzae Cavara) Races in Japan. Plant Disease. 100(4). 816–823. 30 indexed citations
7.
Saito, Kazuki, et al.. (2014). Beyond NERICA::Identifying High-Yielding Rice Varieties Adapted to Rainfed Upland Conditions in Benin and Their Plant Characteristics. Tropical agriculture and development. 58(2). 51–57. 15 indexed citations
8.
Ahohuendo, B. C., et al.. (2014). Pathogenicity Analysis of Blast (Pyricularia oryzae Cavara) Isolates from West Africa. Japan Agricultural Research Quarterly JARQ. 48(4). 403–412. 21 indexed citations
9.
Koide, Yohei, Juan Pariasca Tanaka, Terry J. Rose, et al.. (2013). QTLs for phosphorus deficiency tolerance detected in upland NERICA varieties. Plant Breeding. 132(3). 259–265. 25 indexed citations
10.
Fukuta, Yoshimichi, et al.. (2012). Genetic characterization of rainfed upland New Rice for Africa (NERICA) varieties. Breeding Science. 62(1). 27–37. 23 indexed citations
11.
Yanagihara, Seiji, et al.. (2010). Genetic improvement of rice varieties for Africa under new research collaboration between JIRCAS and Africa Rice Center. 1 indexed citations
12.
Nakamura, Ichiro, Sakae Agarie, Seiichi Murayama, et al.. (2005). Salt tolerance of wild rice Oryza latifolia Desv. in relation to growth and dry matter production. Nettai Nogyo/Nettai nougyou. 49(1). 70–76. 1 indexed citations
13.
Yanagihara, Seiji, et al.. (2004). MAPPING QUANTITATIVE TRAIT LOCI (QTLS) FOR SALT TOLERANCE IN RICE (ORYZA SATIVA) USING RFLPS. Pakistan Journal of Botany. 36(4). 825–834. 31 indexed citations
14.
Shimizu, Aya, Seiji Yanagihara, Shinji Kawasaki, & H. Ikehashi. (2004). Phosphorus deficiency-induced root elongation and its QTL in rice (Oryza sativa L.). Theoretical and Applied Genetics. 109(7). 1361–1368. 109 indexed citations
15.
Hu, Xinwen, et al.. (2000). Isolation and Characterization of Microsatellites in Snap Bean. Journal of Integrative Plant Biology. 42(11). 6 indexed citations
16.
Yanagihara, Seiji, et al.. (1999). Identification and Characterization of a Heat-stress Induced Gene in Cabbage Encodes a Kunitz Type Protease Inhibitor. Journal of Plant Physiology. 155(2). 226–233. 27 indexed citations
17.
Yanagihara, Seiji, et al.. (1995). Molecular analysis of the inheritance of the S-5 locus, conferring wide compatibility in Indica/Japonica hybrids of rice (O. sativa L.). Theoretical and Applied Genetics. 90(2). 182–188. 68 indexed citations
18.
Yanagihara, Seiji, et al.. (1993). Multiple Alleles at a New Locus Causing Hybrid Sterility between a Korean Indica Variety and a Javanica Variety in Rice (Oryza sativa L.).. Ikushugaku zasshi. 43(4). 507–516. 49 indexed citations
19.
Lin, S. Y., et al.. (1992). Segregation distortion via male gametes in hybrids between Indica and Japonica or wide-compatibility varieties of rice (Oryza sativa L). Theoretical and Applied Genetics. 84-84(7-8). 812–818. 63 indexed citations
20.

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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