Kazusato Ohshima

4.6k total citations
106 papers, 3.2k citations indexed

About

Kazusato Ohshima is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Kazusato Ohshima has authored 106 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Plant Science, 54 papers in Endocrinology and 22 papers in Insect Science. Recurrent topics in Kazusato Ohshima's work include Plant Virus Research Studies (96 papers), Plant and Fungal Interactions Research (54 papers) and Plant Disease Resistance and Genetics (32 papers). Kazusato Ohshima is often cited by papers focused on Plant Virus Research Studies (96 papers), Plant and Fungal Interactions Research (54 papers) and Plant Disease Resistance and Genetics (32 papers). Kazusato Ohshima collaborates with scholars based in Japan, Australia and China. Kazusato Ohshima's co-authors include Adrian J. Gibbs, Yasuhiro Tomitaka, Kenta Tomimura, John A. Walsh, Carol E. Jenner, Teruo Sano, Mark J. Gibbs, Eishiro Shikata, Zhongyang Tan and Ryosuke Yasaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Kazusato Ohshima

105 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
Kazusato Ohshima Japan 32 3.1k 1.5k 558 359 157 106 3.2k
Keith L. Perry United States 32 2.7k 0.9× 961 0.6× 1.1k 2.0× 459 1.3× 176 1.1× 91 3.1k
Ioannis E. Tzanetakis United States 30 3.3k 1.1× 1.8k 1.2× 882 1.6× 292 0.8× 79 0.5× 159 3.4k
Francesco Di Serio Italy 34 3.1k 1.0× 1.8k 1.2× 612 1.1× 789 2.2× 64 0.4× 111 3.3k
Luís Rubio Spain 30 3.0k 1.0× 1.1k 0.7× 1.2k 2.1× 281 0.8× 125 0.8× 110 3.1k
R. A. Mumford United Kingdom 25 2.3k 0.7× 746 0.5× 449 0.8× 380 1.1× 116 0.7× 64 2.5k
Massimo Turina Italy 34 3.3k 1.1× 2.0k 1.3× 840 1.5× 385 1.1× 155 1.0× 140 3.5k
M. Ali Rezaian Australia 30 2.5k 0.8× 968 0.7× 585 1.0× 688 1.9× 228 1.5× 63 2.6k
Kook‐Hyung Kim South Korea 34 3.4k 1.1× 1.6k 1.1× 436 0.8× 521 1.5× 244 1.6× 147 3.6k
R.A.A. van der Vlugt Netherlands 25 2.0k 0.7× 646 0.4× 497 0.9× 368 1.0× 207 1.3× 80 2.2k
J. W. Randles Australia 28 2.8k 0.9× 1.1k 0.7× 539 1.0× 704 2.0× 163 1.0× 167 3.0k

Countries citing papers authored by Kazusato Ohshima

Since Specialization
Citations

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

Fields of papers citing papers by Kazusato Ohshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazusato Ohshima

This figure shows the co-authorship network connecting the top 25 collaborators of Kazusato Ohshima. A scholar is included among the top collaborators of Kazusato Ohshima 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 Kazusato Ohshima. Kazusato Ohshima 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.
Inoue‐Nagata, Alice K., R. Jordan, Jan Kreuze, et al.. (2022). ICTV Virus Taxonomy Profile: Potyviridae 2022. Journal of General Virology. 103(5). 95 indexed citations
2.
Golnaraghi, Alireza, et al.. (2021). Genetic diversity and evolutionary analyses of potyviruses infecting narcissus in Iran. Journal of Plant Pathology. 104(1). 237–250. 9 indexed citations
3.
Gao, Fangluan, Shifang Li, Zhongyang Tan, et al.. (2021). Genomic analysis of the brassica pathogen turnip mosaic potyvirus reveals its spread along the former trade routes of the Silk Road. Proceedings of the National Academy of Sciences. 118(12). 32 indexed citations
4.
Nakayama, Hideyuki, Yosuke Matsuo, Takashi Tanaka, et al.. (2020). Glucose esters of caffeic acid from Allium macrostemon Bunge. 27(1). 28–32. 1 indexed citations
5.
Matsuo, Yosuke, et al.. (2017). Phenolic Constituents from Allium macrostemon Bunge. 71(1). 51–52. 2 indexed citations
6.
He, Zhen, Ryosuke Yasaka, Wenfeng Li, Shifang Li, & Kazusato Ohshima. (2015). Genetic structure of populations of sugarcane streak mosaic virus in China: Comparison with the populations in India. Virus Research. 211. 103–116. 19 indexed citations
7.
Matsumoto, Kosuke, et al.. (2015). Chilli pepper rugose mosaic disease caused by Pepper veinal mottle virus occurs on Ishigaki Island, Japan. Journal of General Plant Pathology. 82(1). 57–60. 4 indexed citations
8.
Gibbs, Adrian J., Huy Duc Nguyen, & Kazusato Ohshima. (2015). The ‘emergence’ of turnip mosaic virus was probably a ‘gene-for-quasi-gene’ event. Current Opinion in Virology. 10. 20–26. 31 indexed citations
9.
Yasaka, Ryosuke, Huy Duc Nguyen, Simon Y. W. Ho, et al.. (2014). The Temporal Evolution and Global Spread of Cauliflower mosaic virus, a Plant Pararetrovirus. PLoS ONE. 9(1). e85641–e85641. 42 indexed citations
10.
Ogawa, Tetsuji, et al.. (2012). Attenuated mutants of Potato virus Y necrotic strain produced by nitrous acid treatment and mutagenesis-in-tissue culture methods. European Journal of Plant Pathology. 135(4). 745–760. 6 indexed citations
11.
Nguyen, Huy Duc, Hoa Thi Tran, & Kazusato Ohshima. (2012). Genetic variation of the Turnip mosaic virus population of Vietnam: A case study of founder, regional and local influences. Virus Research. 171(1). 138–149. 41 indexed citations
12.
Ogawa, Tetsuji, Akio Nakagawa, & Kazusato Ohshima. (2011). . Kyushu Plant Protection Research. 57. 19–25. 1 indexed citations
13.
Gibbs, Adrian J. & Kazusato Ohshima. (2010). Potyviruses and the Digital Revolution. Annual Review of Phytopathology. 48(1). 205–223. 216 indexed citations
14.
Seo, Jang‐Kyun, Kazusato Ohshima, Moonil Son, et al.. (2009). Molecular variability and genetic structure of the population of Soybean mosaic virus based on the analysis of complete genome sequences. Virology. 393(1). 91–103. 114 indexed citations
15.
Gibbs, Mark J., Mathieu Fourment, J. T. Wood, et al.. (2006). The variable codons of H3 influenza A virus haemagglutinin genes. Archives of Virology. 152(1). 11–24. 13 indexed citations
17.
Ohshima, Kazusato, Kazuya Sako, Kazutoshi Matsuo, et al.. (2000). Potato Tuber Necrotic Ringspot Disease Occurring in Japan: Its Association with Potato virus Y Necrotic Strain. Plant Disease. 84(10). 1109–1115. 49 indexed citations
18.
Chen, Jianbo, Yuichiro Watanabe, Nobumichi Sako, Kazusato Ohshima, & Yoshimi Okada. (1996). Mapping of Host Range Restriction of the Rakkyo Strain of Tobacco Mosaic Virus inNicotiana tabacumcv. Bright Yellow. Virology. 226(2). 198–204. 17 indexed citations
19.
Uyeda, Ichiro, Takeshi Matsumura, Teruo Sano, Kazusato Ohshima, & Eishiro Shikata. (1987). Nucleotide sequence of rice dwarf virus genome segment 10.. Proceedings of the Japan Academy Series B. 63(6). 227–230. 21 indexed citations
20.
Ohshima, Kazusato, D. T. Shen, J. B. Henson, & J. R. Gorham. (1978). Comparison of the Lesions of Aleutian Disease in Mink and Hypergammaglobulinemia in Ferrets. American Journal of Veterinary Research. 39(4). 653–657. 18 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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