Kinya Nomura

10.4k total citations · 7 hit papers
36 papers, 7.5k citations indexed

About

Kinya Nomura is a scholar working on Plant Science, Endocrinology and Molecular Biology. According to data from OpenAlex, Kinya Nomura has authored 36 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Plant Science, 5 papers in Endocrinology and 3 papers in Molecular Biology. Recurrent topics in Kinya Nomura's work include Plant-Microbe Interactions and Immunity (27 papers), Plant Pathogenic Bacteria Studies (21 papers) and Plant Parasitism and Resistance (14 papers). Kinya Nomura is often cited by papers focused on Plant-Microbe Interactions and Immunity (27 papers), Plant Pathogenic Bacteria Studies (21 papers) and Plant Parasitism and Resistance (14 papers). Kinya Nomura collaborates with scholars based in United States, Japan and China. Kinya Nomura's co-authors include Sheng Yang He, Maeli Melotto, William Underwood, Jessica M. Koczan, Gregg A. Howe, Leron Katsir, Guang‐Hui Liu, Bryan Thines, John Browse and Yajie Niu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kinya Nomura

36 papers receiving 7.4k citations

Hit Papers

JAZ repressor proteins ar... 2006 2026 2012 2019 2007 2006 2021 2020 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kinya Nomura United States 27 6.8k 1.9k 1.2k 532 432 36 7.5k
Gitta Coaker United States 45 7.3k 1.1× 2.0k 1.1× 516 0.4× 859 1.6× 185 0.4× 96 8.3k
Maeli Melotto United States 31 6.2k 0.9× 1.8k 0.9× 1.5k 1.3× 523 1.0× 516 1.2× 71 6.9k
Pascal Genschik France 54 8.7k 1.3× 6.3k 3.3× 677 0.6× 639 1.2× 274 0.6× 108 10.4k
John P. Rathjen Australia 41 7.9k 1.2× 2.2k 1.2× 310 0.3× 814 1.5× 171 0.4× 81 8.5k
Robert E. Davis United States 41 6.5k 1.0× 756 0.4× 2.0k 1.7× 616 1.2× 251 0.6× 208 7.5k
Jonathan P. Anderson Australia 26 3.6k 0.5× 1.3k 0.7× 643 0.6× 445 0.8× 278 0.6× 39 4.1k
Steven A. Whitham United States 49 5.9k 0.9× 2.1k 1.1× 787 0.7× 334 0.6× 92 0.2× 109 6.3k
Thomas J. Baum United States 53 7.9k 1.2× 2.2k 1.1× 1.3k 1.1× 246 0.5× 120 0.3× 123 8.4k
Taisei Kikuchi Japan 31 3.4k 0.5× 1.3k 0.7× 1.2k 1.0× 367 0.7× 369 0.9× 102 4.9k
Thorsten Nürnberger Germany 44 9.4k 1.4× 2.7k 1.4× 366 0.3× 937 1.8× 230 0.5× 70 10.3k

Countries citing papers authored by Kinya Nomura

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Nomura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinya Nomura

This figure shows the co-authorship network connecting the top 25 collaborators of Kinya Nomura. A scholar is included among the top collaborators of Kinya Nomura 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 Kinya Nomura. Kinya Nomura 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.
Paasch, Bradley C., Reza Sohrabi, James M. Kremer, et al.. (2023). A critical role of a eubiotic microbiota in gating proper immunocompetence in Arabidopsis. Nature Plants. 9(9). 1468–1480. 29 indexed citations
2.
Bhandari, Deepak D., Dae Kwan Ko, Sang‐Jin Kim, et al.. (2023). Defense against phytopathogens relies on efficient antimicrobial protein secretion mediated by the microtubule-binding protein TGNap1. Nature Communications. 14(1). 6357–6357. 7 indexed citations
3.
Nomura, Kinya, et al.. (2023). Bacterial pathogens deliver water- and solute-permeable channels to plant cells. Nature. 621(7979). 586–591. 38 indexed citations
4.
Hou, Shuguo, Olivier Rodrigues, Ping Wang, et al.. (2022). Phytocytokine signalling reopens stomata in plant immunity and water loss. Nature. 605(7909). 332–339. 121 indexed citations breakdown →
5.
Kim, Jong Hum, Christian Danve M. Castroverde, Shuai Huang, et al.. (2022). Increasing the resilience of plant immunity to a warming climate. Nature. 607(7918). 339–344. 141 indexed citations breakdown →
6.
Lin, Hui, Muyang Wang, Kinya Nomura, et al.. (2022). An MKP-MAPK protein phosphorylation cascade controls vascular immunity in plants. Science Advances. 8(10). eabg8723–eabg8723. 71 indexed citations
7.
Yuan, Minhang, Guozhi Bi, Kinya Nomura, et al.. (2021). Pattern-recognition receptors are required for NLR-mediated plant immunity. Nature. 592(7852). 105–109. 784 indexed citations breakdown →
8.
Chen, Tao, Kinya Nomura, Xiaolin Wang, et al.. (2020). A plant genetic network for preventing dysbiosis in the phyllosphere. Nature. 580(7805). 653–657. 378 indexed citations breakdown →
9.
Xin, Xiu‐Fang, Kinya Nomura, Kyaw Aung, et al.. (2016). Bacteria establish an aqueous living space in plants crucial for virulence. Nature. 539(7630). 524–529. 315 indexed citations breakdown →
11.
Jay, Florence, et al.. (2008). Suppression of the MicroRNA Pathway by Bacterial Effector Proteins. Science. 321(5891). 964–967. 285 indexed citations
12.
Thines, Bryan, Leron Katsir, Maeli Melotto, et al.. (2007). JAZ repressor proteins are targets of the SCFCOI1 complex during jasmonate signalling. Nature. 448(7154). 661–665. 1934 indexed citations breakdown →
13.
Nomura, Kinya, Sruti DebRoy, Yong Hoon Lee, et al.. (2006). A Bacterial Virulence Protein Suppresses Host Innate Immunity to Cause Plant Disease. Science. 313(5784). 220–223. 393 indexed citations
14.
Melotto, Maeli, William Underwood, Jessica M. Koczan, Kinya Nomura, & Sheng Yang He. (2006). Plant Stomata Function in Innate Immunity against Bacterial Invasion. Cell. 126(5). 969–980. 1400 indexed citations breakdown →
15.
He, Sheng Yang, Kinya Nomura, & Thomas S. Whittam. (2004). Type III protein secretion mechanism in mammalian and plant pathogens. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1694(1-3). 181–206. 258 indexed citations
16.
Osaki, Hideki, Kinya Nomura, Naoyuki Matsumoto, & Yoshihiro Ohtsu. (2004). Characterization of double-stranded RNA elements in the violet root rot fungus Helicobasidium mompa. Mycological Research. 108(6). 635–640. 21 indexed citations
17.
Osaki, Hideki, Hitoshi Nakamura, Kinya Nomura, Naoyuki Matsumoto, & Koji Yoshida. (2004). Nucleotide sequence of a mitochondrial RNA virus from the plant pathogenic fungus, Helicobasidium mompa Tanaka. Virus Research. 107(1). 39–46. 22 indexed citations
18.
Nomura, Kinya, Hideki Osaki, Toru Iwanami, Naoyuki Matsumoto, & Yoshihiro Ohtsu. (2003). Cloning and Characterization of a Totivirus Double-stranded RNA from the Plant Pathogenic Fungus, Helicobasidium mompa Tanaka. Virus Genes. 26(3). 219–226. 21 indexed citations
20.
Nomura, Kinya, William Nasser, Hirokazu Kawagishi, & Shinji Tsuyumu. (1998). The pir gene of Erwinia chrysanthemi EC16 regulates hyperinduction of pectate lyase virulence genes in response to plant signals. Proceedings of the National Academy of Sciences. 95(24). 14034–14039. 44 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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