Masayuki Machida

5.9k total citations · 1 hit paper
47 papers, 2.3k citations indexed

About

Masayuki Machida is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Masayuki Machida has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 22 papers in Pharmacology and 11 papers in Biotechnology. Recurrent topics in Masayuki Machida's work include Microbial Natural Products and Biosynthesis (22 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Fungal and yeast genetics research (9 papers). Masayuki Machida is often cited by papers focused on Microbial Natural Products and Biosynthesis (22 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Fungal and yeast genetics research (9 papers). Masayuki Machida collaborates with scholars based in Japan, United States and Netherlands. Masayuki Machida's co-authors include Katsuya Gomi, Motoaki Sano, Hiroki R. Ueda, Wenbin Chen, Satoko Hayashi, Yasufumi Shigeyoshi, Seiichi Hashimoto, Masamitsu Iino, Myco Umemura and Hideaki Koike and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Genetics.

In The Last Decade

Masayuki Machida

47 papers receiving 2.2k citations

Hit Papers

System-level identification of transcriptional circuits u... 2005 2026 2012 2019 2005 200 400 600

Peers

Masayuki Machida
Carol S. Ringelberg United States
Nan Wu China
Jae Hyung An South Korea
Vítor Costa Portugal
Carl D. Johnson United States
Stuart Brody United States
Carol S. Ringelberg United States
Masayuki Machida
Citations per year, relative to Masayuki Machida Masayuki Machida (= 1×) peers Carol S. Ringelberg

Countries citing papers authored by Masayuki Machida

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Machida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Machida

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Machida. A scholar is included among the top collaborators of Masayuki Machida 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 Masayuki Machida. Masayuki Machida 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.
Fujioka, Tomonori, Akira Yoshimi, Toshitaka Kumagai, et al.. (2023). Discovery of a gene cluster for the biosynthesis of novel cyclic peptide compound, KK-1, in Curvularia clavata. SHILAP Revista de lepidopterología. 3. 1081179–1081179. 4 indexed citations
2.
Matsui, Makoto, Jun Ishii, Toshitaka Kumagai, et al.. (2018). Biosynthesis of Novel Statins by Combining Heterologous Genes from Xylaria and Aspergillus. ACS Synthetic Biology. 7(12). 2783–2789. 9 indexed citations
3.
Yoshimi, Akira, Tomonori Fujioka, Kiyohiko Kawai, et al.. (2018). Heterologous Production of a Novel Cyclic Peptide Compound, KK-1, in Aspergillus oryzae. Frontiers in Microbiology. 9. 690–690. 17 indexed citations
4.
Matsui, Makoto, Tatsuya Yokoyama, Toshitaka Kumagai, et al.. (2017). Further enhancement of FR901469 productivity by co-overexpression of cpcA , a cross-pathway control gene, and frbF in fungal sp. No. 11243. Journal of Bioscience and Bioengineering. 124(1). 8–14. 2 indexed citations
5.
Matsui, Makoto, Tatsuya Yokoyama, Toshitaka Kumagai, et al.. (2016). Identification of a putative FR901469 biosynthesis gene cluster in fungal sp. No. 11243 and enhancement of the productivity by overexpressing the transcription factor gene frbF. Journal of Bioscience and Bioengineering. 123(2). 147–153. 8 indexed citations
6.
Umemura, Myco, Nozomi Nagano, Hideaki Koike, et al.. (2014). Characterization of the biosynthetic gene cluster for the ribosomally synthesized cyclic peptide ustiloxin B in Aspergillus flavus. Fungal Genetics and Biology. 68. 23–30. 120 indexed citations
8.
Umemura, Myco, Hideaki Koike, Nozomi Nagano, et al.. (2013). MIDDAS-M: Motif-Independent De Novo Detection of Secondary Metabolite Gene Clusters through the Integration of Genome Sequencing and Transcriptome Data. PLoS ONE. 8(12). e84028–e84028. 85 indexed citations
9.
Nemoto, Naoto, et al.. (2012). Antagonistic effect of disulfide-rich peptide aptamers selected by cDNA display on interleukin-6-dependent cell proliferation. Biochemical and Biophysical Research Communications. 421(1). 129–133. 5 indexed citations
10.
Machida, Masayuki & Katsuya Gomi. (2010). Aspergillus : molecular biology and genomics. 148 indexed citations
11.
Marui, Junichiro, Akira Yoshimi, Daisuke Hagiwara, et al.. (2010). Use of the Aspergillus oryzae actin gene promoter in a novel reporter system for exploring antifungal compounds and their target genes. Applied Microbiology and Biotechnology. 87(5). 1829–1840. 10 indexed citations
12.
Yu, Jiujiang, Gary A. Payne, William C. Nierman, et al.. (2008). Aspergillus flavus genomics as a tool for studying the mechanism of aflatoxin formation. Food Additives & Contaminants Part A. 25(9). 1152–1157. 32 indexed citations
13.
Tamano, Koichi, Motoaki Sano, Noriko Yamane, et al.. (2007). Transcriptional regulation of genes on the non-syntenic blocks of Aspergillus oryzae and its functional relationship to solid-state cultivation. Fungal Genetics and Biology. 45(2). 139–151. 42 indexed citations
14.
Hagiwara, Hiroko, et al.. (2006). Construction of a Positive Selection Marker by a Lethal Gene with the Amber Stop Codon(s) Regulator. Bioscience Biotechnology and Biochemistry. 70(1). 119–125. 3 indexed citations
15.
Sano, Motoaki, et al.. (2006). Deletion analysis of the superoxide dismutase (sodM) promoter from Aspergillus oryzae. Applied Microbiology and Biotechnology. 72(5). 1048–1053. 6 indexed citations
16.
Toda, Tomomi, Motoaki Sano, Omar J. Rimoldi, et al.. (2001). Deletion analysis of the enolase gene (enoA) promoter from the filamentous fungus Aspergillus oryzae. Current Genetics. 40(4). 260–267. 31 indexed citations
17.
Tanigawa, Masato, Masayuki Machida, & Takao Okada. (1997). A Sensitive and Rapid Method for Mapping Protein Bound to DNA by Atomic Force Microscopy. Bioscience Biotechnology and Biochemistry. 61(10). 1751–1753. 3 indexed citations
18.
Machida, Masayuki, et al.. (1996). Application of Long-distance PCR to Restriction Site Mapping of a Cloned DNA Fragment on theλEMBL3 Phage Vector. Bioscience Biotechnology and Biochemistry. 60(6). 1011–1013. 1 indexed citations
19.
Machida, Masayuki, Hiroshi Uemura, Yoshifumi Jigami, & Hideaki Tanaka. (1988). The protein factor which binds to the upstream activating sequence ofSaccharomyces cerevisiae ENO1gene. Nucleic Acids Research. 16(4). 1407–1422. 29 indexed citations
20.
Uemura, Hiroshi, et al.. (1987). A Postitive Regulatoty Sequence of the Saccharomyuces crevisiae ENO1 Gene1. The Journal of Biochemistry. 102(1). 181–189. 11 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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