Hisataka Numa

4.1k total citations · 1 hit paper
23 papers, 802 citations indexed

About

Hisataka Numa is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Hisataka Numa has authored 23 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Plant Science and 9 papers in Genetics. Recurrent topics in Hisataka Numa's work include Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Chromosomal and Genetic Variations (6 papers). Hisataka Numa is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Chromosomal and Genetic Variations (6 papers). Hisataka Numa collaborates with scholars based in Japan, Taiwan and Russia. Hisataka Numa's co-authors include Takeshi Itoh, Takuji Sasaki, Takashi Matsumoto, Hiroaki Sakai, Tsuyoshi Tanaka, Ching-chia Yang, Hironobu Wakimoto, Hachiro Inokuchi, Takashi Abe and Yoshihiro Kawahara and has published in prestigious journals such as The EMBO Journal, PLANT PHYSIOLOGY and FEBS Letters.

In The Last Decade

Hisataka Numa

23 papers receiving 794 citations

Hit Papers

Rice Annotation Project Database (RAP-DB): An Integrative... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Hisataka Numa
Yue Lu China
Amanda J. Waters United States
Shunwu Yu China
Cong Tan China
Carolina Chavarro United States
André Beló United States
Yue Lu China
Hisataka Numa
Citations per year, relative to Hisataka Numa Hisataka Numa (= 1×) peers Yue Lu

Countries citing papers authored by Hisataka Numa

Since Specialization
Citations

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

Fields of papers citing papers by Hisataka Numa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisataka Numa

This figure shows the co-authorship network connecting the top 25 collaborators of Hisataka Numa. A scholar is included among the top collaborators of Hisataka Numa 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 Hisataka Numa. Hisataka Numa 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.
Yagi, Masafumi, Taro Harada, Hiroyasu Yamaguchi, et al.. (2021). Development of an SSR marker-based genetic linkage map and identification of a QTL associated with flowering time in <i>Eustoma</i>. Breeding Science. 71(3). 344–353. 2 indexed citations
2.
Yasui, Yukiko, Yoshihiro Ohmori, Wakana Tanaka, et al.. (2020). CURLED LATER1 encoding the largest subunit of the Elongator complex has a unique role in leaf development and meristem function in rice. The Plant Journal. 104(2). 351–364. 2 indexed citations
3.
Feng, Li, Hisataka Numa, Naho Hara, et al.. (2019). 全ゲノム配列決定によるバルク分離分析を組み合わせることによるイネ(Oryza sativa L.)における種子破砕のための遺伝子座の同定【JST・京大機械翻訳】. Molecular Breeding. 39(3). 1–14. 1 indexed citations
4.
Numa, Hisataka, Naho Hara, Naoki Sentoku, et al.. (2019). Identification of a locus for seed shattering in rice (Oryza sativa L.) by combining bulked segregant analysis with whole-genome sequencing. Molecular Breeding. 39(3). 16 indexed citations
5.
Kaya, Hidetaka, Hisataka Numa, Ayako Nishizawa‐Yokoi, Seiichi Toki, & Yoshiki Habu. (2017). DNA Methylation Affects the Efficiency of Transcription Activator-Like Effector Nucleases-Mediated Genome Editing in Rice. Frontiers in Plant Science. 8. 302–302. 8 indexed citations
6.
Yoshikawa, Manabu, et al.. (2016). A Short Open Reading Frame Encompassing the MicroRNA173 Target Site Plays a Role in trans-Acting Small Interfering RNA Biogenesis. PLANT PHYSIOLOGY. 171(1). 359–368. 36 indexed citations
7.
Matsumoto, Takashi, Jianzhong Wu, Takeshi Itoh, et al.. (2016). The Nipponbare genome and the next-generation of rice genomics research in Japan. Rice. 9(1). 33–33. 24 indexed citations
8.
Sakai, Hiroaki, Tsuyoshi Tanaka, Hisataka Numa, et al.. (2013). Rice Annotation Project Database (RAP-DB): An Integrative and Interactive Database for Rice Genomics. Plant and Cell Physiology. 54(2). e6–e6. 566 indexed citations breakdown →
9.
Numa, Hisataka & Takeshi Itoh. (2013). MEGANTE: A Web-Based System for Integrated Plant Genome Annotation. Plant and Cell Physiology. 55(1). e2–e2. 16 indexed citations
10.
Yang, Ching-chia, Hiroaki Sakai, Hisataka Numa, & Takeshi Itoh. (2011). Gene tree discordance of wild and cultivated Asian rice deciphered by genome-wide sequence comparison. Gene. 477(1-2). 53–60. 4 indexed citations
11.
Sakai, Hiroaki, Hiroshi Ikawa, Tsuyoshi Tanaka, et al.. (2011). Distinct evolutionary patterns ofOryza glaberrimadeciphered by genome sequencing and comparative analysis. The Plant Journal. 66(5). 796–805. 22 indexed citations
12.
Amano, Naoki, Tsuyoshi Tanaka, Hisataka Numa, Hiroaki Sakai, & Takeshi Itoh. (2010). Efficient Plant Gene Identification Based on Interspecies Mapping of Full-Length cDNAs. DNA Research. 17(5). 271–279. 6 indexed citations
13.
Numa, Hisataka, Jong-Myong Kim, Akihiro Matsui, et al.. (2009). Transduction of RNA‐directed DNA methylation signals to repressive histone marks in Arabidopsis thaliana. The EMBO Journal. 29(2). 352–362. 36 indexed citations
14.
Numa, Hisataka, Marie Nishimura, Tsuyoshi Tanaka, et al.. (2009). Genome‐wide validation of Magnaporthe grisea gene structures based on transcription evidence. FEBS Letters. 583(4). 797–800. 3 indexed citations
15.
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
16.
Numa, Hisataka, et al.. (2003). Ontology Using Role Concept Recognized on Biological Relationships and Its Application. Proceedings Genome Informatics Workshop/Genome informatics. 14. 685–686. 1 indexed citations
17.
Nagamura, Yoshiaki, Baltazar A. Antonio, Hisataka Numa, et al.. (2003). RiceBLAST: A Comprehensive Homology Search for Rice Specific Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 14. 533–534. 1 indexed citations
18.
Ueda, Taro, Tadashi Sato, Hisataka Numa, & Masahiro Yano. (2003). Delimitation of the chromosomal region for a quantitative trait locus, qUVR-10, conferring resistance to ultraviolet-B radiation in rice (Oryza sativa L.). Theoretical and Applied Genetics. 108(3). 385–391. 12 indexed citations
19.
Numa, Hisataka, Katsumi Sakata, Yoshiaki Nagamura, et al.. (2001). RiceGAAS: An Automated Annotation System for Rice Genome. Proceedings Genome Informatics Workshop/Genome informatics. 12(12). 496–497. 2 indexed citations
20.
Numa, Hisataka, et al.. (1999). Commodity Network Based Parallel I/O System for Massively Parallel Processors.. Parallel and Distributed Processing Techniques and Applications. 2424–2429. 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.

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