Kohjiro Saito

582 total citations
8 papers, 468 citations indexed

About

Kohjiro Saito is a scholar working on Molecular Medicine, Molecular Biology and Genetics. According to data from OpenAlex, Kohjiro Saito has authored 8 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Medicine, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Kohjiro Saito's work include Antibiotic Resistance in Bacteria (6 papers), Bacterial Genetics and Biotechnology (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Kohjiro Saito is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Bacterial Genetics and Biotechnology (4 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Kohjiro Saito collaborates with scholars based in Japan. Kohjiro Saito's co-authors include Taiji Nakae, Hideaki Maseda, Akira Nakajima, Hiroshi Yoneyama, Hiroo Uchiyama, Nobuhiko Nomura, Isao Sawada, Eisaku Yoshihara, Shima Eda and Hiroyuki Akama and has published in prestigious journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy and European Journal of Biochemistry.

In The Last Decade

Kohjiro Saito

8 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kohjiro Saito Japan 8 346 323 158 119 67 8 468
Gisela Korfmann Germany 10 259 0.7× 143 0.4× 145 0.9× 89 0.7× 53 0.8× 12 384
Catherine Llanes France 11 283 0.8× 205 0.6× 88 0.6× 86 0.7× 46 0.7× 16 435
Renaud Chollet France 11 315 0.9× 144 0.4× 108 0.7× 132 1.1× 110 1.6× 16 486
Cédric Muller France 5 346 1.0× 209 0.6× 87 0.6× 65 0.5× 102 1.5× 7 410
Vincent Trebosc Switzerland 9 308 0.9× 184 0.6× 103 0.7× 105 0.9× 81 1.2× 15 465
Sebastian Bruchmann Germany 11 400 1.2× 378 1.2× 135 0.9× 110 0.9× 151 2.3× 12 646
Jon W. Weeks United States 12 405 1.2× 180 0.6× 177 1.1× 94 0.8× 116 1.7× 16 556
Kiyomi Okamoto Japan 7 291 0.8× 166 0.5× 84 0.5× 51 0.4× 112 1.7× 8 381
William F. Penwell United States 9 456 1.3× 204 0.6× 64 0.4× 186 1.6× 127 1.9× 10 553
Patrick Plésiat France 10 592 1.7× 368 1.1× 157 1.0× 147 1.2× 160 2.4× 11 757

Countries citing papers authored by Kohjiro Saito

Since Specialization
Citations

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

Fields of papers citing papers by Kohjiro Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohjiro Saito

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

All Works

8 of 8 papers shown
1.
Maseda, Hideaki, Isao Sawada, Kohjiro Saito, et al.. (2004). Enhancement of the mexAB - oprM Efflux Pump Expression by a Quorum-Sensing Autoinducer and Its Cancellation by a Regulator, MexT, of the mexEF - oprN Efflux Pump Operon in Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 48(4). 1320–1328. 145 indexed citations
2.
Saito, Kohjiro, Hiroyuki Akama, Eisaku Yoshihara, & Taiji Nakae. (2003). Mutations Affecting DNA-Binding Activity of the MexR Repressor ofmexR-mexA-mexB-oprMOperon Expression. Journal of Bacteriology. 185(20). 6195–6198. 25 indexed citations
3.
Yoshihara, Eisaku, Hideaki Maseda, & Kohjiro Saito. (2002). The outer membrane component of the multidrug efflux pump from Pseudomonas aeruginosa may be a gated channel. European Journal of Biochemistry. 269(19). 4738–4745. 11 indexed citations
4.
Saito, Kohjiro, Shima Eda, Hideaki Maseda, & Taiji Nakae. (2001). Molecular mechanism of MexR-mediated regulation of MexABâOprM efflux pump expression inPseudomonas aeruginosa. FEMS Microbiology Letters. 195(1). 23–28. 28 indexed citations
5.
Maseda, Hideaki, Kohjiro Saito, Akira Nakajima, & Taiji Nakae. (2000). Variation of the mexT gene, a regulator of the MexEF-OprN efflux pump expression in wild-type strains of Pseudomonas aeruginosa. FEMS Microbiology Letters. 192(1). 107–112. 108 indexed citations
6.
Nakae, Taiji, Kohjiro Saito, & Akira Nakajima. (2000). Effect of Sulbactam on Anti‐Pseudomonal Activity of β‐Lactam Antibiotics in Cells Producing Various Levels of the MexAB‐OprM Efflux Pump and β‐Lactamase. Microbiology and Immunology. 44(12). 997–1001. 7 indexed citations
7.
Saito, Kohjiro, Hiroshi Yoneyama, & Taiji Nakae. (1999). nalB-type mutations causing the overexpression of the MexAB-OprM efflux pump are located in themexRgene of thePseudomonas aeruginosachromosome. FEMS Microbiology Letters. 179(1). 67–72. 81 indexed citations
8.
Nakae, Taiji, et al.. (1999). Resistance to β-Lactam Antibiotics in Pseudomonas aeruginosa Due to Interplay between the MexAB-OprM Efflux Pump and β-Lactamase. Antimicrobial Agents and Chemotherapy. 43(5). 1301–1303. 63 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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