Koichi Tanimoto

2.0k total citations
59 papers, 1.5k citations indexed

About

Koichi Tanimoto is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Koichi Tanimoto has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Infectious Diseases and 21 papers in Genetics. Recurrent topics in Koichi Tanimoto's work include Antimicrobial Resistance in Staphylococcus (25 papers), Bacterial Genetics and Biotechnology (21 papers) and Bacterial biofilms and quorum sensing (17 papers). Koichi Tanimoto is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (25 papers), Bacterial Genetics and Biotechnology (21 papers) and Bacterial biofilms and quorum sensing (17 papers). Koichi Tanimoto collaborates with scholars based in Japan, United States and China. Koichi Tanimoto's co-authors include Haruyoshi Tomita, Yasuyoshi Ike, Shuhei Fujimoto, Don B. Clewell, Hidetada Hirakawa, Takahiro Nomura, Florence Y. An, Kumiko Kurabayashi, Yoshiyuki Ozawa and Takaaki Murata and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Journal of Clinical Microbiology.

In The Last Decade

Koichi Tanimoto

58 papers receiving 1.4k citations

Peers

Koichi Tanimoto
Veronica N. Kos United States
Mark de Been Netherlands
Haruyoshi Tomita Japan
Reiko Kariyama Japan
John Pace United States
Sarah L. Baines Australia
Nadine McCallum Switzerland
Susana Gardete United States
Jonas T. Björkman Sweden
Tomasz Hauschild Poland
Veronica N. Kos United States
Koichi Tanimoto
Citations per year, relative to Koichi Tanimoto Koichi Tanimoto (= 1×) peers Veronica N. Kos

Countries citing papers authored by Koichi Tanimoto

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Tanimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Tanimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Tanimoto. A scholar is included among the top collaborators of Koichi Tanimoto 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 Koichi Tanimoto. Koichi Tanimoto 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.
Hashimoto, Yusuke, Dong Thi Anh Dao, Ikuro Kasuga, et al.. (2025). Ongoing independent evolution of linezolid and vancomycin-resistance pELF-type linear plasmids across the One Health spectrum. Antimicrobial Agents and Chemotherapy. 69(12). e0116825–e0116825.
2.
Tanimoto, Koichi, Takahiro Nomura, Yusuke Hashimoto, et al.. (2020). Isolation of <i>Serratia fonticola</i> Producing FONA, a Minor Extended-Spectrum β-Lactamase (ESBL), from Imported Chicken Meat in Japan. Japanese Journal of Infectious Diseases. 74(1). 79–81. 9 indexed citations
3.
4.
Hirakawa, Hidetada, Kumiko Kurabayashi, Koichi Tanimoto, & Haruyoshi Tomita. (2018). Oxygen Limitation Enhances the Antimicrobial Activity of Fosfomycin in Pseudomonas aeruginosa Following Overexpression of glpT Which Encodes Glycerol-3-Phosphate/Fosfomycin Symporter. Frontiers in Microbiology. 9. 1950–1950. 17 indexed citations
5.
Sakurai, Shinji, et al.. (2018). First case report of bacteremia caused by Dysgonomonas mossii. Anaerobe. 54. 111–114. 6 indexed citations
6.
Nomura, Takahiro, Yusuke Hashimoto, Jun Kurushima, et al.. (2018). New colony multiplex PCR assays for the detection and discrimination of vancomycin-resistant enterococcal species. Journal of Microbiological Methods. 145. 69–72. 20 indexed citations
7.
Hashimoto, Yusuke, Jun Kurushima, Takahiro Nomura, et al.. (2018). Dissemination and genetic analysis of the stealthy vanB gene clusters of Enterococcus faecium clinical isolates in Japan. BMC Microbiology. 18(1). 213–213. 15 indexed citations
8.
Kurabayashi, Kumiko, Koichi Tanimoto, Haruyoshi Tomita, & Hidetada Hirakawa. (2017). Cooperative Actions of CRP-cAMP and FNR Increase the Fosfomycin Susceptibility of Enterohaemorrhagic Escherichia coli (EHEC) by Elevating the Expression of glpT and uhpT under Anaerobic Conditions. Frontiers in Microbiology. 8. 426–426. 13 indexed citations
9.
Kurabayashi, Kumiko, et al.. (2013). Role of the CpxAR Two-Component Signal Transduction System in Control of Fosfomycin Resistance and Carbon Substrate Uptake. Journal of Bacteriology. 196(2). 248–256. 40 indexed citations
10.
Tanimoto, Koichi. (2012). Stenotrophomonas maltophilia strains isolated from a university hospital in Japan: genomic variability and antibiotic resistance. Journal of Medical Microbiology. 62(4). 565–570. 28 indexed citations
11.
Nishioka, Masateru, et al.. (2008). Alteration of metal ions improves the activity and thermostability of aminoacylase from hyperthermophilic archaeon Pyrococcus horikoshii. Biotechnology Letters. 30(9). 1639–1643. 3 indexed citations
12.
Tanimoto, Koichi, et al.. (2008). Investigating a Catalytic Mechanism of Hyperthermophilic L-Threonine Dehydrogenase from Pyrococcus horikoshii. The Journal of Biochemistry. 144(1). 77–85. 11 indexed citations
13.
Lim, Suk‐Kyung, Koichi Tanimoto, Haruyoshi Tomita, & Yasuyoshi Ike. (2006). Pheromone-Responsive Conjugative Vancomycin Resistance Plasmids in Enterococcus faecalis Isolates from Humans and Chicken Feces. Applied and Environmental Microbiology. 72(10). 6544–6553. 52 indexed citations
14.
Jung, Woo Kyung, Soon Keun Hong, Ji Youn Lim, et al.. (2006). Phenotypic and genetic characterization of vancomycin-resistant enterococci from hospitalized humans and from poultry in Korea. FEMS Microbiology Letters. 260(2). 193–200. 15 indexed citations
15.
Tanimoto, Koichi, et al.. (2005). A vancomycin-dependent VanA-type Enterococcus faecalis strain isolated in Japan from chicken imported from China. Letters in Applied Microbiology. 41(2). 157–162. 12 indexed citations
16.
Tomita, Haruyoshi, et al.. (2003). Highly Conjugative pMG1-Like Plasmids Carrying Tn 1546 -Like Transposons That Encode Vancomycin Resistance in Enterococcus faecium. Journal of Bacteriology. 185(23). 7024–7028. 35 indexed citations
17.
18.
Bastos, Maria do Carmo de Freire, Haruyoshi Tomita, Koichi Tanimoto, & Don B. Clewell. (1998). Regulation of the Enterococcus faecalis pAD1‐related sex pheromone response: analyses of traD expression and its role in controlling conjugation functions. Molecular Microbiology. 30(2). 381–392. 17 indexed citations
19.
Tanimoto, Koichi, Haruyoshi Tomita, & Yasuyoshi Ike. (1996). ThetraAGene of theEnterococcus faecalisConjugative Plasmid pPD1 Encodes a Negative Regulator for the Pheromone Response. Plasmid. 36(1). 55–61. 14 indexed citations
20.
Hirayama, Chisato, et al.. (1987). Plasma amino acid patterns in hepatocellular carcinoma. Biochemical Medicine and Metabolic Biology. 38(2). 127–133. 43 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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