Hiroshi Hisano

2.8k total citations
50 papers, 1.8k citations indexed

About

Hiroshi Hisano is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Hiroshi Hisano has authored 50 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Plant Science, 21 papers in Molecular Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in Hiroshi Hisano's work include Plant tissue culture and regeneration (14 papers), Chromosomal and Genetic Variations (11 papers) and Wheat and Barley Genetics and Pathology (10 papers). Hiroshi Hisano is often cited by papers focused on Plant tissue culture and regeneration (14 papers), Chromosomal and Genetic Variations (11 papers) and Wheat and Barley Genetics and Pathology (10 papers). Hiroshi Hisano collaborates with scholars based in Japan, United States and China. Hiroshi Hisano's co-authors include Kazuhiro Sato, Toshihiko Yamada, R. Nandakumar, Akira Kanazawa, Chunxiang Fu, Midori Yoshida, Takakazu Matsuura, Izumi C. Mori, S. Sasamoto and Fumitaka Abe and has published in prestigious journals such as PLoS ONE, The Plant Cell and Scientific Reports.

In The Last Decade

Hiroshi Hisano

45 papers receiving 1.7k citations

Peers

Hiroshi Hisano

ACS

GENET

Tim Langdon United Kingdom

S. P. Lanning United States

Matthew R. Tucker Australia

Yuanda Lv China

Hai‐Chun Jing China

Spurthi N. Nayak India

Gabriela Soto Argentina

Tianyu Wang China

Pooja Bhatnagar‐Mathur India

R. J. Graf Canada

Tim Langdon United Kingdom

Hiroshi Hisano

1.8k ×1.3

1.5k ×2.1

92 ×0.3

ACS

198 ×0.8

475 ×2.7

GENET

Citations per year, relative to Hiroshi Hisano Hiroshi Hisano (= 1×) peers Tim Langdon

Countries citing papers authored by Hiroshi Hisano

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Hisano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Hisano

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

All Works

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20 of 20 papers shown

Asuke, Soichiro, Analiza G. Tagle, Gang‐Su Hyon, et al.. (2025). Evolution of HMA-integrated tandem kinases accompanied by expansion of target pathogens. bioRxiv (Cold Spring Harbor Laboratory).

Kouzai, Yusuke, Nobuoki Kohno, Megumi Watanabe, et al.. (2025). Distinct Infection Mechanisms of Rhizoctonia solani AG-1 IA and AG-4 HG-I+II in Brachypodium distachyon and Barley. Life. 15(2). 235–235.

Hisano, Hiroshi, Hiroaki Sakai, Fumitaka Abe, et al.. (2025). Rapid development of naked malting barley germplasm through targeted mutagenesis. Molecular Breeding. 45(3). 32–32.

Kondō, Hideki, Miki Fujita, Kiwamu Hyodo, et al.. (2023). Discovery and Genome Characterization of a Closterovirus from Wheat Plants with Yellowing Leaf Symptoms in Japan. Pathogens. 12(3). 358–358. 1 indexed citations

Kishi‐Kaboshi, Mitsuko, et al.. (2023). Optimizing genome editing efficiency in wheat: Effects of heat treatments and different promoters for single guide RNA expression. Plant Biotechnology. 40(3). 237–245. 2 indexed citations

Hisano, Hiroshi, et al.. (2023). CRISPR/Cas9-based generation of mlo mutants for allelic complementation experiments to elucidate MLO function in barley. Journal of General Plant Pathology. 89(3). 153–158. 3 indexed citations

Gu, Mian, Hengliang Huang, Hiroshi Hisano, et al.. (2022). A crucial role for a node‐localized transporter, HvSPDT, in loading phosphorus into barley grains. New Phytologist. 234(4). 1249–1261. 18 indexed citations

Hisano, Hiroshi, Fumitaka Abe, Takakazu Matsuura, et al.. (2021). Regulation of germination by targeted mutagenesis of grain dormancy genes in barley. Plant Biotechnology Journal. 20(1). 37–46. 20 indexed citations

Yaeno, Takashi, Hiroshi Inoue, Masamichi Nishiguchi, et al.. (2021). RACE1, a Japanese Blumeria graminis f. sp. hordei isolate, is capable of overcoming partially mlo-mediated penetration resistance in barley in an allele-specific manner. PLoS ONE. 16(8). e0256574–e0256574. 8 indexed citations

10.

Lei, Gui Jie, Miho Fujii‐Kashino, Hiroshi Hisano, et al.. (2020). Breeding for low cadmium barley by introgression of a Sukkula-like transposable element. Nature Food. 1(8). 489–499. 56 indexed citations

11.

Kondō, Hideki, Miki Fujita, Hiroshi Hisano, et al.. (2020). Virome Analysis of Aphid Populations That Infest the Barley Field: The Discovery of Two Novel Groups of Nege/Kita-Like Viruses and Other Novel RNA Viruses. Frontiers in Microbiology. 11. 509–509. 49 indexed citations

12.

Matsushima, Ryo & Hiroshi Hisano. (2019). Imaging Amyloplasts in the Developing Endosperm of Barley and Rice. Scientific Reports. 9(1). 3745–3745. 15 indexed citations

13.

Abe, Fumitaka, Emdadul Haque, Hiroshi Hisano, et al.. (2019). Genome-Edited Triple-Recessive Mutation Alters Seed Dormancy in Wheat. Cell Reports. 28(5). 1362–1369.e4. 103 indexed citations

14.

Hisano, Hiroshi, Brigid Meints, Matthew Moscou, et al.. (2017). Selection of transformation-efficient barley genotypes based on TFA (transformation amenability) haplotype and higher resolution mapping of the TFA loci. Plant Cell Reports. 36(4). 611–620. 19 indexed citations

15.

Gupta, Aarti, Hiroshi Hisano, Yuko Hojo, et al.. (2017). Global profiling of phytohormone dynamics during combined drought and pathogen stress in Arabidopsis thaliana reveals ABA and JA as major regulators. Scientific Reports. 7(1). 4017–4017. 112 indexed citations

16.

Hisano, Hiroshi & Kazuhiro Sato. (2016). Genomic regions responsible for amenability to Agrobacterium-mediated transformation in barley. Scientific Reports. 6(1). 37505–37505. 24 indexed citations

17.

Hisano, Hiroshi, Takakazu Matsuura, Izumi C. Mori, Miki Yamane, & Kazuhiro Sato. (2015). Endogenous hormone levels affect the regeneration ability of callus derived from different organs in barley. Plant Physiology and Biochemistry. 99. 66–72. 34 indexed citations

18.

Hisano, Hiroshi, et al.. (2011). Insert Molding Cycle-time Reduction by Self-clamping Die and Separating Mold-process. Seikei-Kakou. 23(10). 605–609. 1 indexed citations

19.

Shinozuka, Hiroshi, Hiroshi Hisano, Yuta Shimamoto, et al.. (2006). Gene expression and genetic mapping analyses of a perennial ryegrass glycine-rich RNA-binding protein gene suggest a role in cold adaptation. Molecular Genetics and Genomics. 275(4). 399–408. 36 indexed citations

20.

Hisano, Hiroshi, et al.. (2004). High frequency Agrobacterium-mediated transformation and plant regeneration via direct shoot formation from leaf explants in Beta vulgaris and Beta maritima. Plant Cell Reports. 22(12). 910–8. 27 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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