Chitose Maruyama

1.1k total citations
47 papers, 825 citations indexed

About

Chitose Maruyama is a scholar working on Molecular Biology, Pharmacology and Biomedical Engineering. According to data from OpenAlex, Chitose Maruyama has authored 47 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 12 papers in Pharmacology and 6 papers in Biomedical Engineering. Recurrent topics in Chitose Maruyama's work include Biopolymer Synthesis and Applications (17 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Microbial Natural Products and Biosynthesis (11 papers). Chitose Maruyama is often cited by papers focused on Biopolymer Synthesis and Applications (17 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Microbial Natural Products and Biosynthesis (11 papers). Chitose Maruyama collaborates with scholars based in Japan, Singapore and Taiwan. Chitose Maruyama's co-authors include Yoshimitsu Hamano, Kazuya Yamanaka, Hajime Katano, Hiroshi Takagi, Takashi Utagawa, Naoko Kito, Tohru Dairi, Yasuharu Satoh, Yasushi Ogasawara and Kazuo Shin‐ya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Chitose Maruyama

45 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chitose Maruyama Japan 17 689 179 122 88 87 47 825
Sunil S. Chandran United States 15 1.2k 1.7× 268 1.5× 143 1.2× 48 0.5× 141 1.6× 22 1.4k
Maximilian J. Helf United States 12 632 0.9× 388 2.2× 158 1.3× 42 0.5× 101 1.2× 15 835
Nadia Kadi United Kingdom 14 440 0.6× 185 1.0× 102 0.8× 47 0.5× 76 0.9× 16 643
Matthias Strieker Germany 11 653 0.9× 498 2.8× 167 1.4× 37 0.4× 127 1.5× 14 945
Patrick J. Knerr United States 16 952 1.4× 491 2.7× 245 2.0× 60 0.7× 81 0.9× 25 1.4k
Li Shen China 18 423 0.6× 146 0.8× 133 1.1× 21 0.2× 161 1.9× 49 741
Takeo Tomita Japan 20 990 1.4× 557 3.1× 159 1.3× 35 0.4× 144 1.7× 60 1.2k
Patrick C. Cirino United States 18 1.0k 1.5× 45 0.3× 119 1.0× 44 0.5× 82 0.9× 28 1.3k
Frederick Stull United States 15 491 0.7× 100 0.6× 114 0.9× 43 0.5× 26 0.3× 30 752
Somayesadat Badieyan United States 16 609 0.9× 59 0.3× 56 0.5× 49 0.6× 119 1.4× 20 882

Countries citing papers authored by Chitose Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Chitose Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitose Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Chitose Maruyama. A scholar is included among the top collaborators of Chitose Maruyama 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 Chitose Maruyama. Chitose Maruyama 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.
Maruyama, Chitose, et al.. (2025). Biosynthesis of lactacystin as a proteasome inhibitor. Communications Chemistry. 8(1). 9–9. 1 indexed citations
2.
Maruyama, Chitose, et al.. (2024). Discovery of a novel methionine biosynthetic route via O -phospho- l -homoserine. Applied and Environmental Microbiology. 90(10). e0124724–e0124724. 2 indexed citations
3.
Maruyama, Chitose, et al.. (2023). Peptide epimerase-dehydratase complex responsible for biosynthesis of the linaridin class ribosomal peptides. Bioscience Biotechnology and Biochemistry. 87(11). 1316–1322. 3 indexed citations
4.
Maruyama, Chitose, et al.. (2023). Phase transfer mechanisms of fluorophore-labeled cell-penetrating peptide ε-poly-l-α-lysine at liquid|liquid interfaces. Electrochimica Acta. 462. 142769–142769. 2 indexed citations
5.
Chang, Chin‐Yuan, I‐Wen Lo, Chun‐Liang Chen, et al.. (2023). N-Formimidoylation/-iminoacetylation modification in aminoglycosides requires FAD-dependent and ligand-protein NOS bridge dual chemistry. Nature Communications. 14(1). 2528–2528. 3 indexed citations
6.
Ushimaru, Kazunori, Chitose Maruyama, Takashi Ito, et al.. (2022). First direct evidence for direct cell-membrane penetrations of polycationic homopoly(amino acid)s produced by bacteria. Communications Biology. 5(1). 1132–1132. 11 indexed citations
7.
8.
Ueno, Takaaki, et al.. (2018). Promotion Effect of Streptothricin on a Glucose Oxidase Enzymatic Reaction and Its Application to a Colorimetric Assay. Analytical Sciences. 34(2). 143–148. 3 indexed citations
9.
Maruyama, Chitose, et al.. (2017). Imaging mass spectrometry analysis of ubiquinol localization in the mouse brain following short-term administration. Scientific Reports. 7(1). 12990–12990. 20 indexed citations
10.
Maruyama, Chitose, et al.. (2016). Colorimetric Detection of the Adenylation Activity in Nonribosomal Peptide Synthetases. Methods in molecular biology. 1401. 77–84. 18 indexed citations
11.
Katano, Hajime, et al.. (2016). Separation of Streptothricin Antibiotics from Culture Broth with Colorimetric Determination Using Dipicrylamine. Analytical Sciences. 32(10). 1101–1104. 3 indexed citations
12.
Katano, Hajime, et al.. (2015). Separation and Purification of ε-Poly-l-lysine with Its Colorimetric Determination Using Dipicrylamine. Analytical Sciences. 31(12). 1273–1277. 9 indexed citations
13.
Noike, Motoyoshi, Takashi Matsui, Ikuo Sasaki, et al.. (2014). A peptide ligase and the ribosome cooperate to synthesize the peptide pheganomycin. Nature Chemical Biology. 11(1). 71–76. 46 indexed citations
14.
15.
Katano, Hajime, et al.. (2013). Colorimetric Determination of Pyrophosphate Anion and Its Application to Adenylation Enzyme Assay. Analytical Sciences. 29(11). 1095–1098. 21 indexed citations
16.
Kito, Naoko, et al.. (2012). Mutational analysis of the three tandem domains of ε-poly-l-lysine synthetase catalyzing the l-lysine polymerization reaction. Journal of Bioscience and Bioengineering. 115(5). 523–526. 13 indexed citations
17.
Katano, Hajime, et al.. (2012). Separation and Purification of ε-Poly-L-lysine from the Culture Broth Based on Precipitation with the Tetraphenylborate Anion. Analytical Sciences. 28(12). 1153–1157. 26 indexed citations
18.
Katano, Hajime, Rina Tanaka, Chitose Maruyama, & Yoshimitsu Hamano. (2011). Assay of enzymes forming AMP + PPi by the pyrophosphate determination based on the formation of 18-molybdopyrophosphate. Analytical Biochemistry. 421(1). 308–312. 19 indexed citations
19.
Yamanaka, Kazuya, et al.. (2010). Mechanism of ε-Poly- l -Lysine Production and Accumulation Revealed by Identification and Analysis of an ε-Poly- l -Lysine-Degrading Enzyme. Applied and Environmental Microbiology. 76(17). 5669–5675. 102 indexed citations
20.
Yamanaka, Kazuya, Chitose Maruyama, Hiroshi Takagi, & Yoshimitsu Hamano. (2008). ε-Poly-L-lysine dispersity is controlled by a highly unusual nonribosomal peptide synthetase. Nature Chemical Biology. 4(12). 766–772. 133 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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