Ken Kasahara

605 total citations
13 papers, 373 citations indexed

About

Ken Kasahara is a scholar working on Molecular Biology, Pharmacology and Analytical Chemistry. According to data from OpenAlex, Ken Kasahara has authored 13 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Analytical Chemistry. Recurrent topics in Ken Kasahara's work include Microbial Natural Products and Biosynthesis (3 papers), Genomics and Phylogenetic Studies (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Ken Kasahara is often cited by papers focused on Microbial Natural Products and Biosynthesis (3 papers), Genomics and Phylogenetic Studies (3 papers) and Spectroscopy and Chemometric Analyses (3 papers). Ken Kasahara collaborates with scholars based in Japan. Ken Kasahara's co-authors include Isao Fujii, Yukinori Tanaka, Kozo Ochi, Hideaki Oikawa, Yutaka Ebizuka, Yutaka Hirose, Takashi Fujimoto, Tetsuo Tokiwano, Hiroki Oguri and Yuh Shiwa and has published in prestigious journals such as Journal of Bacteriology, Applied Microbiology and Biotechnology and ChemBioChem.

In The Last Decade

Ken Kasahara

12 papers receiving 365 citations

Peers

Ken Kasahara
Ken Kasahara
Citations per year, relative to Ken Kasahara Ken Kasahara (= 1×) peers Pakorn Wattana‐Amorn

Countries citing papers authored by Ken Kasahara

Since Specialization
Citations

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

Fields of papers citing papers by Ken Kasahara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kasahara

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

All Works

13 of 13 papers shown
2.
Itto‐Nakama, Kaori, Shun Watanabe, Shinsuke Ohnuki, et al.. (2023). Prediction of ethanol fermentation under stressed conditions using yeast morphological data. Journal of Bioscience and Bioengineering. 135(3). 210–216. 10 indexed citations
3.
Mizoshiri, Mizue, et al.. (2022). A real-time monitoring system for automatic morphology analysis of yeast cultivation in a jar fermenter. Applied Microbiology and Biotechnology. 106(12). 4683–4693. 6 indexed citations
4.
Tourlousse, Dieter M., Koji Narita, Takamasa Miura, et al.. (2022). Characterization and Demonstration of Mock Communities as Control Reagents for Accurate Human Microbiome Community Measurements. Microbiology Spectrum. 10(2). e0191521–e0191521. 21 indexed citations
5.
Itto‐Nakama, Kaori, Shun Watanabe, Naoko Kondo, et al.. (2021). AI-based forecasting of ethanol fermentation using yeast morphological data. Bioscience Biotechnology and Biochemistry. 86(1). 125–134. 21 indexed citations
6.
Funane, Kazumi, Yukinori Tanaka, Takeshi Hosaka, et al.. (2018). Combined Drug Resistance Mutations Substantially Enhance Enzyme Production in Paenibacillus agaridevorans. Journal of Bacteriology. 200(17). 11 indexed citations
7.
Tanaka, Yukinori, et al.. (2017). Enhancement of butanol production by sequential introduction of mutations conferring butanol tolerance and streptomycin resistance. Journal of Bioscience and Bioengineering. 124(4). 400–407. 13 indexed citations
8.
Tanaka, Yukinori, et al.. (2017). Applicability of ribosome engineering to vitamin B12 production by Propionibacterium shermanii. Bioscience Biotechnology and Biochemistry. 81(8). 1636–1641. 20 indexed citations
9.
Shiwa, Yuh, et al.. (2016). Distribution of human single‐nucleotide polymorphisms is approximated by the power law and represents a fractal structure. Genes to Cells. 21(5). 396–407. 1 indexed citations
10.
Tanaka, Yukinori, et al.. (2013). Activation and Products of the Cryptic Secondary Metabolite Biosynthetic Gene Clusters by Rifampin Resistance ( rpoB ) Mutations in Actinomycetes. Journal of Bacteriology. 195(13). 2959–2970. 88 indexed citations
11.
Shiwa, Yuh, et al.. (2012). Whole-Genome Profiling of a Novel Mutagenesis Technique Using Proofreading-Deficient DNA Polymerase δ. PubMed. 2012. 1–8. 27 indexed citations
12.
Kasahara, Ken, Takashi Fujimoto, Hiroki Oguri, et al.. (2010). Solanapyrone Synthase, a Possible Diels–Alderase and Iterative Type I Polyketide Synthase Encoded in a Biosynthetic Gene Cluster from Alternaria solani. ChemBioChem. 11(9). 1245–1252. 124 indexed citations
13.
Kasahara, Ken, Isao Fujii, Hideaki Oikawa, & Yutaka Ebizuka. (2006). Expression of Alternaria solani PKSF Generates a Set of Complex Reduced‐Type Polyketides with Different Carbon‐Lengths and Cyclization. ChemBioChem. 7(6). 920–924. 31 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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