Ken Hoshikawa

777 total citations
18 papers, 515 citations indexed

About

Ken Hoshikawa is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Ken Hoshikawa has authored 18 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 11 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Ken Hoshikawa's work include Plant Molecular Biology Research (4 papers), Transgenic Plants and Applications (4 papers) and Plant tissue culture and regeneration (4 papers). Ken Hoshikawa is often cited by papers focused on Plant Molecular Biology Research (4 papers), Transgenic Plants and Applications (4 papers) and Plant tissue culture and regeneration (4 papers). Ken Hoshikawa collaborates with scholars based in Japan, Vietnam and Taiwan. Ken Hoshikawa's co-authors include Hiroshi Ezura, Kenji Miura, Satoshi Fujita, Tsuyoshi Yamamoto, Kentaro Ezura, Hugh S. Mason, Yosuke Yoshioka, Ya‐Ping Lin, Tohru Ariizumi and Dung Thi Pham and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Plant and Cell Physiology.

In The Last Decade

Ken Hoshikawa

18 papers receiving 508 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 Hoshikawa Japan 13 313 300 166 47 36 18 515
Eugenia Barros South Africa 11 397 1.3× 450 1.5× 250 1.5× 38 0.8× 61 1.7× 23 659
Richard Bourgault Canada 14 463 1.5× 314 1.0× 68 0.4× 20 0.4× 34 0.9× 20 657
Cara L. Mortimer Australia 9 228 0.7× 314 1.0× 153 0.9× 17 0.4× 12 0.3× 10 457
R. K. Salyaev Russia 11 222 0.7× 270 0.9× 143 0.9× 18 0.4× 15 0.4× 84 484
Igor Kolotilin Canada 12 230 0.7× 311 1.0× 93 0.6× 14 0.3× 16 0.4× 16 455
Zhaobo Lang China 15 780 2.5× 727 2.4× 70 0.4× 44 0.9× 69 1.9× 41 1.1k
Frédérique Bidard France 18 361 1.2× 542 1.8× 73 0.4× 72 1.5× 26 0.7× 31 771
M. Bharathi India 11 572 1.8× 479 1.6× 159 1.0× 16 0.3× 49 1.4× 51 856
T. A. Valueva Russia 14 370 1.2× 383 1.3× 171 1.0× 37 0.8× 9 0.3× 46 616
B. Leroux France 7 338 1.1× 418 1.4× 127 0.8× 28 0.6× 45 1.3× 8 529

Countries citing papers authored by Ken Hoshikawa

Since Specialization
Citations

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

Fields of papers citing papers by Ken Hoshikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Hoshikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Hoshikawa. A scholar is included among the top collaborators of Ken Hoshikawa 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 Hoshikawa. Ken Hoshikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Shirasawa, Kenta, Ken Hoshikawa, Sachiko Isobe, et al.. (2024). Genomic variation across distribution of Micro-Tom, a model cultivar of tomato (Solanum lycopersicum). DNA Research. 31(5). 2 indexed citations
2.
Lee, Kwanuk, et al.. (2022). Molecular Bases of Heat Stress Responses in Vegetable Crops With Focusing on Heat Shock Factors and Heat Shock Proteins. Frontiers in Plant Science. 13. 837152–837152. 28 indexed citations
3.
Sarker, Umakanta, Ya‐Ping Lin, Shinya Oba, Yosuke Yoshioka, & Ken Hoshikawa. (2022). Prospects and potentials of underutilized leafy Amaranths as vegetable use for health-promotion. Plant Physiology and Biochemistry. 182. 104–123. 53 indexed citations
4.
Hoshikawa, Ken, Ya‐Ping Lin, Roland Schafleitner, et al.. (2022). Genetic diversity analysis and core collection construction for Amaranthus tricolor germplasm based on genome-wide single-nucleotide polymorphisms. Scientia Horticulturae. 307. 111428–111428. 16 indexed citations
5.
Hoshikawa, Ken, Dung Thi Pham, Hiroshi Ezura, Roland Schafleitner, & Kazuo Nakashima. (2021). Genetic and Molecular Mechanisms Conferring Heat Stress Tolerance in Tomato Plants. Frontiers in Plant Science. 12. 786688–786688. 35 indexed citations
6.
Nosaki, Shohei, Ken Hoshikawa, Hiroshi Ezura, & Kenji Miura. (2021). Transient protein expression systems in plants and their applications. Plant Biotechnology. 38(3). 297–304. 40 indexed citations
7.
Nguyen, Anh Tuan, Minh Hong Nguyen, Minh Thi Nguyen, et al.. (2021). Developing new parthenocarpic tomato breeding lines carrying iaa9-3 mutation. Euphytica. 217(7). 5 indexed citations
8.
Pham, Dung Thi, Ken Hoshikawa, Satoshi Fujita, et al.. (2020). A tomato heat-tolerant mutant shows improved pollen fertility and fruit-setting under long-term ambient high temperature. Environmental and Experimental Botany. 178. 104150–104150. 27 indexed citations
9.
Lombardo, Fabien, Yoshihito Shinozaki, Takuji Ichino, et al.. (2019). Functional Disruption of the Tomato Putative Ortholog of HAWAIIAN SKIRT Results in Facultative Parthenocarpy, Reduced Fertility and Leaf Morphological Defects. Frontiers in Plant Science. 10. 1234–1234. 15 indexed citations
10.
Yano, Ryoichi, Ken Hoshikawa, Yoshihiro Okabe, et al.. (2019). Multiplex exome sequencing reveals genome-wide frequency and distribution of mutations in the ‘Micro-Tom’ Targeting Induced Local Lesions in Genomes (TILLING) mutant library. Plant Biotechnology. 36(4). 223–231. 5 indexed citations
11.
Yamamoto, Tsuyoshi, Ken Hoshikawa, Kentaro Ezura, et al.. (2018). Improvement of the transient expression system for production of recombinant proteins in plants. Scientific Reports. 8(1). 4755–4755. 136 indexed citations
12.
Mubarok, Syariful, Ken Hoshikawa, Yoshihiro Okabe, et al.. (2018). Evidence of the functional role of the ethylene receptor genes SlETR4 and SlETR5 in ethylene signal transduction in tomato. Molecular Genetics and Genomics. 294(2). 301–313. 18 indexed citations
13.
Hoshikawa, Ken, Satoshi Fujita, Kentaro Ezura, et al.. (2018). Efficient transient protein expression in tomato cultivars and wild species using agroinfiltration-mediated high expression system. Plant Cell Reports. 38(1). 75–84. 40 indexed citations
14.
Choi, Seungwon, Ken Hoshikawa, Satoshi Fujita, et al.. (2018). Evaluation of internal control genes for quantitative realtime PCR analyses for studying fruit development of dwarf tomato cultivar ‘Micro-Tom’. Plant Biotechnology. 35(3). 225–235. 15 indexed citations
15.
Shikata, Masahito, Ken Hoshikawa, Tohru Ariizumi, et al.. (2015). TOMATOMA Update: Phenotypic and Metabolite Information in the Micro-Tom Mutant Resource. Plant and Cell Physiology. 57(1). e11–e11. 43 indexed citations
17.
18.
Kawai, Fumihiro, Ken Hoshikawa, Satoru Unzai, et al.. (2008). Cloning, expression and purification of cytochromec6from the brown algaHizikia fusiformisand complete X-ray diffraction analysis of the structure. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(8). 674–680. 9 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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