Yasuhiro Ishiga

2.5k total citations
64 papers, 1.8k citations indexed

About

Yasuhiro Ishiga is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Yasuhiro Ishiga has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 14 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Yasuhiro Ishiga's work include Plant-Microbe Interactions and Immunity (47 papers), Plant Pathogenic Bacteria Studies (37 papers) and Legume Nitrogen Fixing Symbiosis (19 papers). Yasuhiro Ishiga is often cited by papers focused on Plant-Microbe Interactions and Immunity (47 papers), Plant Pathogenic Bacteria Studies (37 papers) and Legume Nitrogen Fixing Symbiosis (19 papers). Yasuhiro Ishiga collaborates with scholars based in Japan, United States and India. Yasuhiro Ishiga's co-authors include Kirankumar S. Mysore, Srinivasa Rao Uppalapati, Takako Ishiga, Yuki Ichinose, Carol L. Bender, Kazuhiro Toyoda, Tamding Wangdi, Tomonori Shiraishi, Yoshishige Inagaki and Barbara N. Kunkel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Plant Cell.

In The Last Decade

Yasuhiro Ishiga

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhiro Ishiga Japan 24 1.6k 585 184 151 71 64 1.8k
Nicolás Denancé France 16 1.6k 1.0× 560 1.0× 156 0.8× 153 1.0× 70 1.0× 20 1.8k
Mirosław Sobczak Poland 25 1.8k 1.1× 434 0.7× 99 0.5× 179 1.2× 63 0.9× 68 2.0k
Orlando Borrás‐Hidalgo Cuba 20 1.1k 0.7× 532 0.9× 191 1.0× 121 0.8× 46 0.6× 60 1.4k
Maggie Levy Israel 19 1.1k 0.7× 757 1.3× 198 1.1× 141 0.9× 116 1.6× 32 1.4k
Srinivasa Rao Uppalapati United States 24 1.4k 0.9× 620 1.1× 153 0.8× 154 1.0× 72 1.0× 39 1.7k
Fabienne Vailleau France 22 1.9k 1.2× 567 1.0× 140 0.8× 72 0.5× 41 0.6× 36 2.1k
Mario Serrano Mexico 22 1.8k 1.1× 729 1.2× 320 1.7× 115 0.8× 91 1.3× 57 2.1k
Jessica M. Koczan United States 6 1.9k 1.2× 461 0.8× 187 1.0× 86 0.6× 54 0.8× 8 2.0k
Caspar Langenbach Germany 11 1.1k 0.7× 490 0.8× 156 0.8× 98 0.6× 67 0.9× 12 1.3k
Stefanie Ranf Germany 19 1.9k 1.2× 583 1.0× 125 0.7× 142 0.9× 52 0.7× 30 2.2k

Countries citing papers authored by Yasuhiro Ishiga

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Ishiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Ishiga

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Ishiga. A scholar is included among the top collaborators of Yasuhiro Ishiga 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 Yasuhiro Ishiga. Yasuhiro Ishiga 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
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Fujikawa, Takashi, et al.. (2023). HexR Transcription Factor Contributes to Pseudomonas cannabina pv. alisalensis Virulence by Coordinating Type Three Secretion System Genes. Microorganisms. 11(4). 1025–1025. 1 indexed citations
3.
Ishiga, Yasuhiro, et al.. (2023). Prevention of Stomatal Entry as a Strategy for Plant Disease Control against Foliar Pathogenic Pseudomonas Species. Plants. 12(3). 590–590. 8 indexed citations
4.
Ishiga, Takako, et al.. (2023). Vt35 antitoxin plays a central regulatory role in virulence of Pseudomonas savastanoi pv. glycinea on soybean. Journal of General Plant Pathology. 89(4). 211–218. 1 indexed citations
5.
Ishiga, Takako, et al.. (2021). Coronatine Contributes to Pseudomonas cannabina pv. alisalensis Virulence by Overcoming Both Stomatal and Apoplastic Defenses in Dicot and Monocot Plants. Molecular Plant-Microbe Interactions. 34(7). 746–757. 21 indexed citations
6.
Ishiga, Takako, et al.. (2021). Pseudmonas cannabina pv. alisalensis TrpA Is Required for Virulence in Multiple Host Plants. Frontiers in Microbiology. 12. 659734–659734. 5 indexed citations
7.
Saito, Haruka, et al.. (2021). Covering Soybean Leaves With Cellulose Nanofiber Changes Leaf Surface Hydrophobicity and Confers Resistance Against Phakopsora pachyrhizi. Frontiers in Plant Science. 12. 726565–726565. 18 indexed citations
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Ishiga, Takako, et al.. (2020). Acibenzolar-S-Methyl Activates Stomatal-Based Defense Systemically in Japanese Radish. Frontiers in Plant Science. 11. 565745–565745. 11 indexed citations
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Lee, Seonghee, Muthappa Senthil‐Kumar, Miyoung Kang, et al.. (2017). The small GTPase, nucleolar GTP-binding protein 1 (NOG1), has a novel role in plant innate immunity. Scientific Reports. 7(1). 9260–9260. 29 indexed citations
13.
Takagi, Hiroshi, Yasuhiro Ishiga, Shunsuke Watanabe, et al.. (2016). Allantoin, a stress-related purine metabolite, can activate jasmonate signaling in a MYC2-regulated and abscisic acid-dependent manner. Journal of Experimental Botany. 67(8). 2519–2532. 118 indexed citations
14.
Ishiga, Yasuhiro, Takako Ishiga, Yoko Ikeda, Takakazu Matsuura, & Kirankumar S. Mysore. (2016). NADPH-dependent thioredoxin reductase C plays a role in nonhost disease resistance against Pseudomonas syringae pathogens by regulating chloroplast-generated reactive oxygen species. PeerJ. 4. e1938–e1938. 30 indexed citations
15.
Ishiga, Yasuhiro, Takako Ishiga, Srinivasa Rao Uppalapati, & Kirankumar S. Mysore. (2013). Jasmonate ZIM-Domain (JAZ) Protein Regulates Host and Nonhost Pathogen-Induced Cell Death in Tomato and Nicotiana benthamiana. PLoS ONE. 8(9). e75728–e75728. 52 indexed citations
16.
Ishiga, Yasuhiro, Srinivasa Rao Uppalapati, Takako Ishiga, & Kirankumar S. Mysore. (2011). Involvement of SGT1 in COR-mediated signal transduction pathway leading to disease symptom development. Plant Signaling & Behavior. 6(7). 1072–1073. 3 indexed citations
17.
Uppalapati, Srinivasa Rao, Yasuhiro Ishiga, Choong‐Min Ryu, et al.. (2010). SGT1 contributes to coronatine signaling and Pseudomonas syringae pv. tomato disease symptom development in tomato and Arabidopsis. New Phytologist. 189(1). 83–93. 28 indexed citations
18.
Ishiga, Yasuhiro, et al.. (2008). Modulation of defense signal transduction by flagellin-induced WRKY41 transcription factor in Arabidopsis thaliana. Molecular Genetics and Genomics. 279(3). 303–312. 99 indexed citations
19.
Uppalapati, Srinivasa Rao, Yasuhiro Ishiga, Tamding Wangdi, et al.. (2008). Pathogenicity of Pseudomonas syringae pv. tomato on Tomato Seedlings: Phenotypic and Gene Expression Analyses of the Virulence Function of Coronatine. Molecular Plant-Microbe Interactions. 21(4). 383–395. 75 indexed citations
20.
Ishiga, Yasuhiro, Srinivasa Rao Uppalapati, Takako Ishiga, et al.. (2008). The phytotoxin coronatine induces light‐dependent reactive oxygen species in tomato seedlings. New Phytologist. 181(1). 147–160. 66 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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