Tetsushi Mori

2.1k total citations
50 papers, 1.1k citations indexed

About

Tetsushi Mori is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Tetsushi Mori has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Biomedical Engineering and 9 papers in Ecology. Recurrent topics in Tetsushi Mori's work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (6 papers) and Seaweed-derived Bioactive Compounds (5 papers). Tetsushi Mori is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (6 papers) and Seaweed-derived Bioactive Compounds (5 papers). Tetsushi Mori collaborates with scholars based in Japan, Malaysia and Switzerland. Tetsushi Mori's co-authors include Haruko Takeyama, Tadashi Matsunaga, Atsushi Arakaki, Masahito Hosokawa, Hidekazu Nakazawa, Michiko Nemoto, Yohei Nishikawa, Reiji Tanaka, Toru Maruyama and Toshiyuki Shibata and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Tetsushi Mori

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsushi Mori Japan 18 557 286 178 151 122 50 1.1k
Fumiyoshi Abe Japan 26 1.5k 2.7× 167 0.6× 461 2.6× 102 0.7× 215 1.8× 90 2.3k
Jimmy Kuo Taiwan 18 293 0.5× 103 0.4× 263 1.5× 141 0.9× 215 1.8× 58 822
Hans R. Aerni United States 23 2.1k 3.7× 111 0.4× 61 0.3× 29 0.2× 164 1.3× 31 3.1k
Maki Hayashi Japan 28 1.1k 2.0× 64 0.2× 38 0.2× 72 0.5× 104 0.9× 72 1.9k
Xinwen Liang United States 20 1.0k 1.8× 63 0.2× 47 0.3× 60 0.4× 64 0.5× 40 2.2k
E. A. Galinski Germany 17 1.4k 2.5× 140 0.5× 210 1.2× 103 0.7× 639 5.2× 23 2.2k
Jean Guern France 34 2.2k 3.9× 54 0.2× 252 1.4× 46 0.3× 59 0.5× 57 3.3k
Tôru Takagi Japan 25 642 1.2× 277 1.0× 56 0.3× 45 0.3× 95 0.8× 170 2.4k
Gabriel Schaaf Germany 30 1.5k 2.6× 116 0.4× 37 0.2× 22 0.1× 107 0.9× 72 4.0k
John Love United Kingdom 27 1.0k 1.9× 288 1.0× 86 0.5× 25 0.2× 99 0.8× 72 2.0k

Countries citing papers authored by Tetsushi Mori

Since Specialization
Citations

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

Fields of papers citing papers by Tetsushi Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsushi Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsushi Mori. A scholar is included among the top collaborators of Tetsushi Mori 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 Tetsushi Mori. Tetsushi Mori 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.
Mori, Tetsushi, et al.. (2024). Approaches for attaining clean bacterial fractions from complex environmental samples. Frontiers in Marine Science. 11.
2.
Tanaka, Reiji, et al.. (2022). Cell-Penetrating Peptide–Peptide Nucleic Acid Conjugates as a Tool for Protein Functional Elucidation in the Native Bacterium. Molecules. 27(24). 8944–8944. 4 indexed citations
3.
Kogawa, Masato, Masahiro Ando, Kei Yura, et al.. (2022). Single-cell metabolite detection and genomics reveals uncultivated talented producer. PNAS Nexus. 1(1). pgab007–pgab007. 17 indexed citations
4.
Mori, Tetsushi, et al.. (2021). Critical Side Chain Effects of Cell-Penetrating Peptides for Transporting Oligo Peptide Nucleic Acids in Bacteria. ACS Applied Bio Materials. 4(4). 3462–3468. 9 indexed citations
5.
Yamazaki, Haruka, et al.. (2020). Taxonomic Distribution of Tetrodotoxin in Acotylean Flatworms (Polycladida: Platyhelminthes). Marine Biotechnology. 22(6). 805–811. 14 indexed citations
6.
7.
Muraoka, Takahiro, et al.. (2019). Abiotic Factors Promote Cell Penetrating Peptide Permeability in Enterobacteriaceae Models. Frontiers in Microbiology. 10. 2534–2534. 12 indexed citations
8.
Maruyama, Toru, et al.. (2017). SAG-QC: quality control of single amplified genome information by subtracting non-target sequences based on sequence compositions. BMC Bioinformatics. 18(1). 152–152. 3 indexed citations
9.
Takagi, Toshiyuki, Yusuke Sasaki, Keisuke Motone, et al.. (2017). Construction of bioengineered yeast platform for direct bioethanol production from alginate and mannitol. Applied Microbiology and Biotechnology. 101(17). 6627–6636. 33 indexed citations
10.
Zinke, Ingo, et al.. (2017). Antimicrobial peptides extend lifespan in Drosophila. PLoS ONE. 12(5). e0176689–e0176689. 48 indexed citations
11.
Mori, Tetsushi, Mami Takahashi, Reiji Tanaka, et al.. (2016). Falsirhodobacter sp. alg1 Harbors Single Homologs of Endo and Exo-Type Alginate Lyases Efficient for Alginate Depolymerization. PLoS ONE. 11(5). e0155537–e0155537. 22 indexed citations
12.
Schanz, Oliver, Tetsushi Mori, Toru Maruyama, et al.. (2016). Balancing intestinal and systemic inflammation through cell type-specific expression of the aryl hydrocarbon receptor repressor. Scientific Reports. 6(1). 26091–26091. 55 indexed citations
13.
Nishikawa, Yohei, et al.. (2015). Monodisperse Picoliter Droplets for Low-Bias and Contamination-Free Reactions in Single-Cell Whole Genome Amplification. PLoS ONE. 10(9). e0138733–e0138733. 49 indexed citations
14.
Ito, Michihiro, Toru Maruyama, Takeshi Terahara, et al.. (2015). Analysis of bacterial xylose isomerase gene diversity using gene-targeted metagenomics. Journal of Bioscience and Bioengineering. 120(2). 174–180. 5 indexed citations
15.
Hosokawa, Masahito, Yohei Nishikawa, Dong Hyun Yoon, et al.. (2014). Droplet-based microfluidics for high-throughput screening of a metagenomic library for isolation of microbial enzymes. Biosensors and Bioelectronics. 67. 379–385. 78 indexed citations
16.
Hwang, Seong Don, Seong Won Nho, Jun-ichi Hikima, et al.. (2014). Whole Genome Analyses of Marine Fish Pathogenic Isolate, Mycobacterium sp. 012931. Marine Biotechnology. 16(5). 572–579. 5 indexed citations
17.
Yoon, Dong Hyun, et al.. (2013). Room temperature uniform and high throughput agarose gel micro droplet generation for single cell analysis. 440–442. 1 indexed citations
18.
Yoon, Dong Hyun, et al.. (2012). Uniform and high throughput agarose gel micro droplet generation device for single cell analysis. 500–502. 1 indexed citations
19.
Mori, Tetsushi, Tomoko Yoshino, Satoshi Nakasono, et al.. (2009). A stable human progesterone receptor expressing HeLa reporter cell line as a tool in chemical evaluation at the different cell-cycle phases. Toxicology Letters. 186(2). 123–129. 6 indexed citations
20.
Yoshino, Tomoko, Tetsushi Mori, Shigeya Suzuki, et al.. (2009). Nano‐sized bacterial magnetic particles displaying pyruvate phosphate dikinase for pyrosequencing. Biotechnology and Bioengineering. 103(1). 130–137. 12 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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