Ken Komatsu

4.9k total citations
137 papers, 3.2k citations indexed

About

Ken Komatsu is a scholar working on Plant Science, Endocrinology and Epidemiology. According to data from OpenAlex, Ken Komatsu has authored 137 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Plant Science, 38 papers in Endocrinology and 19 papers in Epidemiology. Recurrent topics in Ken Komatsu's work include Plant Virus Research Studies (72 papers), Plant and Fungal Interactions Research (38 papers) and Plant Pathogenic Bacteria Studies (33 papers). Ken Komatsu is often cited by papers focused on Plant Virus Research Studies (72 papers), Plant and Fungal Interactions Research (38 papers) and Plant Pathogenic Bacteria Studies (33 papers). Ken Komatsu collaborates with scholars based in Japan, United States and Bangladesh. Ken Komatsu's co-authors include Yasuyuki Yamaji, Masayoshi Hashimoto, S. Namba, Kensaku Maejima, Johji Ozeki, Tsutomu Arie, Satoshi Kagiwada, Kenro Oshima, Misako Himeno and Shigetou Namba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

Ken Komatsu

131 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Komatsu Japan 31 2.1k 619 586 465 449 137 3.2k
James M. Schupp United States 37 914 0.4× 421 0.7× 821 1.4× 695 1.5× 93 0.2× 68 4.3k
B. D. Harrison United States 52 7.0k 3.3× 2.2k 3.6× 289 0.5× 272 0.6× 1.6k 3.6× 194 7.9k
Jiaji Zhou United Kingdom 12 396 0.2× 524 0.8× 2.1k 3.5× 961 2.1× 84 0.2× 20 4.5k
Ghislain Fournous France 24 1.3k 0.6× 839 1.4× 468 0.8× 798 1.7× 110 0.2× 31 4.3k
Mark Achtman Germany 10 342 0.2× 1.5k 2.4× 1.4k 2.5× 859 1.8× 90 0.2× 13 4.8k
Patricia L. Worsham United States 28 465 0.2× 323 0.5× 571 1.0× 423 0.9× 121 0.3× 64 3.0k
Elizabeth M. Driebe United States 26 251 0.1× 326 0.5× 805 1.4× 710 1.5× 74 0.2× 41 2.4k
Joerg Jores Switzerland 27 233 0.1× 320 0.5× 384 0.7× 944 2.0× 51 0.1× 111 2.6k
Lüppo Ellerbroek Germany 19 174 0.1× 192 0.3× 160 0.3× 872 1.9× 69 0.2× 57 2.6k
David Metzgar United States 36 429 0.2× 148 0.2× 1.1k 1.8× 1.2k 2.5× 43 0.1× 69 3.3k

Countries citing papers authored by Ken Komatsu

Since Specialization
Citations

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

Fields of papers citing papers by Ken Komatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Komatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Komatsu. A scholar is included among the top collaborators of Ken Komatsu 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 Ken Komatsu. Ken Komatsu 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.
Ishihara, Chiaki, Nobumitsu Sasaki, Yasuhiko Matsushita, et al.. (2025). Live-cell imaging of a plant virus replicase during infection using a genetically encoded, antibody-based probe. PLANT PHYSIOLOGY. 198(2).
2.
Okada, Ryo, et al.. (2024). Identification of a novel mycovirus belonging to the “flexivirus”-related family with icosahedral virion. Virus Evolution. 10(1). veae093–veae093. 2 indexed citations
3.
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Komatsu, Ken & John Hammond. (2022). Plantago asiatica mosaic virus: An emerging plant virus causing necrosis in lilies and a new model RNA virus for molecular research. Molecular Plant Pathology. 23(10). 1401–1414. 13 indexed citations
6.
Ayukawa, Yu, et al.. (2021). Fusariosis in rubber tree: pathogenic, morphological, and molecular characterization of the causal agent. European Journal of Plant Pathology. 161(4). 769–782. 1 indexed citations
7.
Sasaki, Nobumitsu, et al.. (2021). Acibenzolar-S-methyl-mediated restriction of loading of plantago asiatica mosaic virus into vascular tissues of Nicotiana benthamiana. Virus Research. 306. 198585–198585. 2 indexed citations
8.
Moriyama, Hiromitsu, et al.. (2020). Population Structure of Double-Stranded RNA Mycoviruses That Infect the Rice Blast Fungus Magnaporthe oryzae in Japan. Frontiers in Microbiology. 11. 593784–593784. 6 indexed citations
9.
Venkat, Heather, Elisabeth Krow‐Lucal, Tammy Sylvester, et al.. (2020). Comparison of Characteristics of Patients with West Nile Virus or St. Louis Encephalitis Virus Neuroinvasive Disease During Concurrent Outbreaks, Maricopa County, Arizona, 2015. Vector-Borne and Zoonotic Diseases. 20(8). 624–629. 5 indexed citations
10.
Ruberto, Irene, Hayley D. Yaglom, Laura M. Erhart, et al.. (2019). Dengue Knowledge, Attitudes, and Practices Among Arizona Health Care Providers, 2014–2015. Vector-Borne and Zoonotic Diseases. 19(6). 434–440. 7 indexed citations
11.
Adams, Laura E., Joli Weiss, Kris Bisgard, et al.. (2015). Outbreak of Botulism After Consumption of Illicit Prison-Brewed Alcohol in a Maximum Security Prison—Arizona, 2012. Journal of Correctional Health Care. 21(4). 327–334. 6 indexed citations
12.
Netsu, Osamu, Akihiro Hiraguri, Tamaki Uehara‐Ichiki, Ken Komatsu, & Takahide Sasaya. (2015). Functional comparison of RNA silencing suppressor between the p5 protein of rice grassy stunt virus and the p3 protein of rice stripe virus. Virus Research. 203. 10–19. 7 indexed citations
13.
McCollum, Andrea M., Jesse D. Blanton, Robert C. Holman, et al.. (2012). Community Survey after Rabies Outbreaks, Flagstaff, Arizona, USA. Emerging infectious diseases. 18(6). 932–8. 19 indexed citations
14.
Komatsu, Ken, Hisae Hirata, Yasuyuki Yamaji, et al.. (2012). Infection of capilloviruses requires subgenomic RNAs whose transcription is controlled by promoter-like sequences conserved among flexiviruses. Virus Research. 167(1). 8–15. 20 indexed citations
15.
Chen, Shey‐Ying, S. Anderson, Preeta K. Kutty, et al.. (2011). Health Care-Associated Measles Outbreak in the United States After an Importation: Challenges and Economic Impact. The Journal of Infectious Diseases. 203(11). 1517–1525. 138 indexed citations
16.
Komatsu, Ken, Masayoshi Hashimoto, Kensaku Maejima, et al.. (2010). A Necrosis-Inducing Elicitor Domain Encoded by Both Symptomatic and AsymptomaticPlantago asiatica mosaic virusIsolates, Whose Expression Is Modulated by Virus Replication. Molecular Plant-Microbe Interactions. 24(4). 408–420. 37 indexed citations
17.
Ozeki, Johji, Masayoshi Hashimoto, Ken Komatsu, et al.. (2009). The N-terminal Region of thePlantago asiatica mosaic virusCoat Protein Is Required for Cell-to-Cell Movement but Is Dispensable for Virion Assembly. Molecular Plant-Microbe Interactions. 22(6). 677–685. 24 indexed citations
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Lu, Hsin‐Min, et al.. (2007). Ontology-enhanced automatic chief complaint classification for syndromic surveillance. Journal of Biomedical Informatics. 41(2). 340–356. 33 indexed citations
20.
Ampel, Neil M., et al.. (1998). Coccidioidomycosis in Arizona: Increase in Incidence from 1990 to 1995. Clinical Infectious Diseases. 27(6). 1528–1530. 62 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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