Ken Naito

6.0k total citations · 1 hit paper
106 papers, 4.0k citations indexed

About

Ken Naito is a scholar working on Plant Science, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ken Naito has authored 106 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 26 papers in Molecular Biology and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ken Naito's work include Agricultural pest management studies (23 papers), Legume Nitrogen Fixing Symbiosis (19 papers) and Genetic and Environmental Crop Studies (14 papers). Ken Naito is often cited by papers focused on Agricultural pest management studies (23 papers), Legume Nitrogen Fixing Symbiosis (19 papers) and Genetic and Environmental Crop Studies (14 papers). Ken Naito collaborates with scholars based in Japan, Thailand and United States. Ken Naito's co-authors include Yutaka Toyoda, Kazuo Fujikawa, Y. Fukuda, Takatoshi Tanisaka, Yutaka Okumoto, ‍Norihiko Tomooka, Susan R. Wessler, Hiroki Saito, Yu Takahashi and Takuji Tsukiyama and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ken Naito

102 papers receiving 3.8k citations

Hit Papers

Core microbiomes for sustainable agroecosystems 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Naito Japan 31 2.0k 1.4k 834 577 376 106 4.0k
H.T. Meryman United States 21 325 0.2× 592 0.4× 773 0.9× 432 0.7× 165 0.4× 59 2.8k
Masaru Murakami Japan 31 139 0.1× 1.4k 1.0× 193 0.2× 236 0.4× 462 1.2× 237 3.7k
Mylène Docquier Switzerland 21 381 0.2× 636 0.5× 189 0.2× 131 0.2× 275 0.7× 42 1.7k
Hiroshi Imai Japan 35 412 0.2× 2.6k 1.9× 1.5k 1.8× 872 1.5× 950 2.5× 154 4.1k
Hans‐Werner Lahm Switzerland 23 274 0.1× 1.8k 1.3× 210 0.3× 63 0.1× 304 0.8× 32 3.8k
Junko Stevens United States 5 376 0.2× 2.6k 1.9× 202 0.2× 33 0.1× 552 1.5× 9 5.0k
Timothy M. Rose United States 31 369 0.2× 2.2k 1.6× 143 0.2× 47 0.1× 749 2.0× 77 5.2k
Runsheng Li China 29 237 0.1× 1.4k 1.0× 141 0.2× 145 0.3× 303 0.8× 114 3.1k
R.J. Wall United States 40 312 0.2× 3.7k 2.6× 964 1.2× 513 0.9× 3.4k 9.1× 110 5.8k
T Sekiya Japan 20 298 0.2× 2.0k 1.4× 160 0.2× 38 0.1× 826 2.2× 53 4.3k

Countries citing papers authored by Ken Naito

Since Specialization
Citations

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

Fields of papers citing papers by Ken Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Naito

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Naito. A scholar is included among the top collaborators of Ken Naito 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 Naito. Ken Naito 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.
Shimomura, Koichiro, Ryoichi Yano, Yoichi Kawazu, et al.. (2025). Chromosome-level assembly of <i>Cucumis sativus</i> cv. ‘Tokiwa’ as a reference genome of Japanese cucumber. Breeding Science. 75(2). 85–92. 2 indexed citations
2.
Matsuda, Hiroyuki, et al.. (2025). Solid–liquid equilibria of selected ternary systems containing diphenyl carbonate, alcohol, dialkyl carbonate, and phenol. Fluid Phase Equilibria. 595. 114420–114420.
3.
Wang, Fanmiao, Sompong Chankaew, H Ariga, et al.. (2025). Diurnal Regulation of SOS Pathway and Sodium Excretion Underlying Salinity Tolerance of Vigna marina. Plant Cell & Environment. 48(6). 3925–3938. 2 indexed citations
4.
Ito, Miho, Chiaki Muto, Eri Ogiso‐Tanaka, et al.. (2024). Single candidate gene for salt tolerance of <i>Vigna nakashimae</i> (Ohwi) Ohwi & Ohashi identified by QTL mapping, whole genome sequencing and triplicated RNA-seq analyses. Breeding Science. 74(2). 93–102. 2 indexed citations
5.
Kouzai, Yusuke, Reika Watanabe, Hideyuki Kajiwara, et al.. (2024). BglaTNB6, a tailocin produced by a plant-associated nonpathogenic bacterium, prevents rice seed-borne bacterial diseases. PLoS Pathogens. 20(10). e1012645–e1012645.
6.
Naito, Ken. (2023). How to Sequence and Assemble Plant Genomes. Methods in molecular biology. 2632. 57–77. 6 indexed citations
7.
Ogiso‐Tanaka, Eri, Sompong Chankaew, Takehisa Isemura, et al.. (2020). Whole genome sequencing data of Vigna nakashimae var. Ukushima and G418. SHILAP Revista de lepidopterología. 29. 105131–105131. 1 indexed citations
8.
Hirose, Aya, Ippei Takahashi, Masafumi Mikami, et al.. (2018). Simultaneous site-directed mutagenesis of duplicated loci in soybean using a single guide RNA. Plant Cell Reports. 37(3). 553–563. 63 indexed citations
9.
Iseki, Kohtaro, Yu Takahashi, Chiaki Muto, Ken Naito, & ‍Norihiko Tomooka. (2018). Diversity of Drought Tolerance in the Genus Vigna. Frontiers in Plant Science. 9. 729–729. 43 indexed citations
10.
Takahashi, Yu, Prakit Somta, Chiaki Muto, et al.. (2016). Novel Genetic Resources in the Genus Vigna Unveiled from Gene Bank Accessions. PLoS ONE. 11(1). e0147568–e0147568. 66 indexed citations
11.
Chankaew, Sompong, Takehisa Isemura, Ken Naito, et al.. (2013). QTL mapping for salt tolerance and domestication-related traits in Vigna marina subsp. oblonga, a halophytic species. Theoretical and Applied Genetics. 127(3). 691–702. 44 indexed citations
12.
Naito, Ken, Feng Zhang, Takuji Tsukiyama, et al.. (2009). Unexpected consequences of a sudden and massive transposon amplification on rice gene expression. Nature. 461(7267). 1130–1134. 357 indexed citations
14.
Matsumoto, S, et al.. (2000). Management of suspected nosocomial infection: an audit of 19 hospitalized patients with septicemia caused by Bacillus species.. PubMed. 53(5). 196–202. 35 indexed citations
15.
Kato, Masashi, et al.. (1997). Effects of Adriamycin on Sperm Motility Using CASA (HTM-IVOS) System : Poster Sessions. Congenital Anomalies. 37(3). 312. 1 indexed citations
16.
Naito, Ken, Masakane Yamashita, Yoshitaka Nagahama, et al.. (1995). Association of p34cdc2 and Cyclin B1 during Meiotic Maturation in Porcine Oocytes. Developmental Biology. 168(2). 627–634. 64 indexed citations
17.
Naito, Ken & Yutaka Toyoda. (1991). Fluctuation of histone H1 kinase activity during meiotic maturation in porcine oocytes. Reproduction. 93(2). 467–473. 117 indexed citations
18.
Fukuda, Y., et al.. (1990). Birth of Normal Calves Resulting from Bovine Oocytes Matured, Fertilized, and Cultured with Cumulus Cells in Vitro up to the Blastocyst Stage1. Biology of Reproduction. 42(1). 114–119. 126 indexed citations
19.
Hamano, Seizo, Ken Naito, Y. Fukuda, & Yutaka Toyoda. (1989). In vitro capacitation of boar ejaculated spermatozoa: Effect of conditioned media prepared from preincubated sperm suspension. Gamete Research. 24(4). 483–489. 16 indexed citations
20.
Naito, Ken, Y. Fukuda, & Yutaka Toyoda. (1988). Effects of porcine follicular fluid on male pronucleus formation in porcine oocytes matured in vitro. Gamete Research. 21(3). 289–295. 139 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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