Ichiro Mitsuhara

5.2k total citations · 1 hit paper
73 papers, 4.2k citations indexed

About

Ichiro Mitsuhara is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Ichiro Mitsuhara has authored 73 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 41 papers in Molecular Biology and 13 papers in Biotechnology. Recurrent topics in Ichiro Mitsuhara's work include Plant-Microbe Interactions and Immunity (40 papers), Plant Virus Research Studies (21 papers) and Plant tissue culture and regeneration (18 papers). Ichiro Mitsuhara is often cited by papers focused on Plant-Microbe Interactions and Immunity (40 papers), Plant Virus Research Studies (21 papers) and Plant tissue culture and regeneration (18 papers). Ichiro Mitsuhara collaborates with scholars based in Japan, United States and Nepal. Ichiro Mitsuhara's co-authors include Shigemi Seo, Yuko Ohashi, Y. Ohashi, Norihiro Ohtsubo, Tomoya Niki, Takayoshi Iwai, Atsushi Mochizuki, Hirohiko Hirochika, Michie Kobayashi and Yoko Gotoh and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Ichiro Mitsuhara

73 papers receiving 4.0k citations

Hit Papers

Efficient Promoter Cassettes for Enhanced Expression of F... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers

Ichiro Mitsuhara
Hisashi Koiwa United States
Leslie Friedrich United States
Doil Choi South Korea
Ichiro Mitsuhara
Citations per year, relative to Ichiro Mitsuhara Ichiro Mitsuhara (= 1×) peers Thierry Heitz

Countries citing papers authored by Ichiro Mitsuhara

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Mitsuhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Mitsuhara

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Mitsuhara. A scholar is included among the top collaborators of Ichiro Mitsuhara 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 Ichiro Mitsuhara. Ichiro Mitsuhara 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.
Kishi‐Kaboshi, Mitsuko, Ayako Nishizawa‐Yokoi, Ichiro Mitsuhara, Seiichi Toki, & Katsutomo Sasaki. (2023). Excision of DNA fragments with the <i>piggyBac</i> system in <i>Chrysanthemum morifolium</i>. Plant Biotechnology. 40(2). 157–165. 1 indexed citations
2.
Murata, Mika, Kei Kawazu, Masumi Ishizaka, et al.. (2019). Loliolide, a Carotenoid Metabolite, Is a Potential Endogenous Inducer of Herbivore Resistance. PLANT PHYSIOLOGY. 179(4). 1822–1833. 62 indexed citations
3.
Ueda, Hirokazu, Daisuke Kurose, Soichi Kugimiya, et al.. (2018). Disease severity enhancement by an esterase from non-phytopathogenic yeast Pseudozyma antarctica and its potential as adjuvant for biocontrol agents. Scientific Reports. 8(1). 16455–16455. 14 indexed citations
4.
Kishimoto, Naoki, et al.. (2013). DNA Elements Reducing Transcriptional Gene Silencing Revealed by a Novel Screening Strategy. PLoS ONE. 8(1). e54670–e54670. 4 indexed citations
5.
Oka, Kumiko, Shinpei Katou, Shigemi Seo, et al.. (2013). Tobacco MAP Kinase Phosphatase (NtMKP1) Negatively Regulates Wound Response and Induced Resistance Against Necrotrophic Pathogens and Lepidopteran Herbivores. Molecular Plant-Microbe Interactions. 26(6). 668–675. 20 indexed citations
7.
Ishihara, Takeaki, Ichiro Mitsuhara, Hideki Takahashi, & Kazuhiro Nakaho. (2012). Transcriptome Analysis of Quantitative Resistance-Specific Response upon Ralstonia solanacearum Infection in Tomato. PLoS ONE. 7(10). e46763–e46763. 94 indexed citations
8.
Ohashi, Yuko, et al.. (2012). Identification of a Degradation Intermediate of the Momilactone A Rice Phytoalexin by the Rice Blast Fungus. Bioscience Biotechnology and Biochemistry. 76(2). 414–416. 9 indexed citations
9.
Kobayashi, Michie, Shinpei Katou, Katsuyuki Hirai, et al.. (2011). Identification of an amino acid residue required for differential recognition of a viral movement protein by the Tomato mosaic virus resistance gene Tm-2. Journal of Plant Physiology. 168(10). 1142–1145. 21 indexed citations
10.
Asano, Takayuki, Nagao Hayashi, Michie Kobayashi, et al.. (2011). A rice calcium‐dependent protein kinase OsCPK12 oppositely modulates salt‐stress tolerance and blast disease resistance. The Plant Journal. 69(1). 26–36. 254 indexed citations
11.
Kobayashi, Michie, Shigemi Seo, Katsuyuki Hirai, et al.. (2010). Silencing of WIPK and SIPK Mitogen-Activated Protein Kinases Reduces Tobacco mosaic virus Accumulation But Permits Systemic Viral Movement in Tobacco Possessing the N Resistance Gene. Molecular Plant-Microbe Interactions. 23(8). 1032–1041. 28 indexed citations
12.
Mitsuhara, Ichiro, et al.. (2007). Mechanism of PR gene expression by treatment of tobacco leaves with yeast extract (AGREVO EX).. Japanese Journal of Phytopathology. 73(2). 94–101. 10 indexed citations
13.
Sasaki, Katsutomo, Ichiro Mitsuhara, Shigemi Seo, et al.. (2007). Two novel AP2/ERF domain proteins interact with cis‐element VWRE for wound‐induced expression of the Tobacco tpoxN1 gene. The Plant Journal. 50(6). 1079–1092. 44 indexed citations
14.
Takabatake, Reona, Etienne Karita, Shigemi Seo, et al.. (2007). Pathogen-Induced Calmodulin Isoforms in Basal Resistance Against Bacterial and Fungal Pathogens in Tobacco. Plant and Cell Physiology. 48(3). 414–423. 88 indexed citations
15.
Sasaki, Katsutomo, Susumu Hiraga, Yoko Gotoh, et al.. (2007). Characterization of two rice peroxidase promoters that respond to blast fungus-infection. Molecular Genetics and Genomics. 278(6). 709–722. 32 indexed citations
16.
Takabatake, Reona, Shigemi Seo, Naoko Ito, et al.. (2006). Involvement of wound‐induced receptor‐like protein kinase in wound signal transduction in tobacco plants. The Plant Journal. 47(2). 249–257. 23 indexed citations
17.
Sasaki, Katsutomo, Ito H, Ichiro Mitsuhara, et al.. (2006). A novel wound-responsive cis-element, VWRE, of the vascular system-specific expression of a tobacco peroxidase gene, tpoxN1. Plant Molecular Biology. 62(4-5). 753–768. 11 indexed citations
18.
Sasaki, Katsutomo, Takayoshi Iwai, Susumu Hiraga, et al.. (2004). Ten Rice Peroxidases Redundantly Respond to Multiple Stresses Including Infection with Rice Blast Fungus. Plant and Cell Physiology. 45(10). 1442–1452. 107 indexed citations
19.
20.
Okamoto, Masanori, Ichiro Mitsuhara, Masahiro Ohshima, Shunji Natori, & Yuko Ohashi. (1998). Enhanced Expression of an Antimicrobial Peptide Sarcotoxin IA by GUS Fusion in Transgenic Tobacco Plants. Plant and Cell Physiology. 39(1). 57–63. 38 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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