Tsuneko Ono

798 total citations
31 papers, 656 citations indexed

About

Tsuneko Ono is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Tsuneko Ono has authored 31 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Genetics and 12 papers in Molecular Medicine. Recurrent topics in Tsuneko Ono's work include Bacterial Genetics and Biotechnology (21 papers), Antibiotic Resistance in Bacteria (12 papers) and Bacterial biofilms and quorum sensing (12 papers). Tsuneko Ono is often cited by papers focused on Bacterial Genetics and Biotechnology (21 papers), Antibiotic Resistance in Bacteria (12 papers) and Bacterial biofilms and quorum sensing (12 papers). Tsuneko Ono collaborates with scholars based in Japan, United States and Australia. Tsuneko Ono's co-authors include Yoichiro Miyake, Keiji Murakami, Katsuhiko Hirota, Darija Vidučić, Shizuo Kayama, Ken Nemoto, Yoshinari Ohnishi, Shigeru Akimoto, Makiko Mori and K. Nemoto and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Bacteriology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Tsuneko Ono

31 papers receiving 632 citations

Peers

Tsuneko Ono

GENET

ECOLO

ENDOC

Anthony O. Gaca United States

Channakhone Saenphimmachak United States

Ryan P. Lamers Canada

Calum Johnston France

Dietmar Grothues Germany

Shizuo Kayama Japan

Neil Doherty United Kingdom

Emma L. Denham Netherlands

Peter Jorth United States

Stavroula Panagea United Kingdom

Anthony O. Gaca United States

Tsuneko Ono

392 ×0.9

222 ×0.9

GENET

108 ×0.4

89 ×1.0

ECOLO

76 ×0.9

ENDOC

Citations per year, relative to Tsuneko Ono Tsuneko Ono (= 1×) peers Anthony O. Gaca

Countries citing papers authored by Tsuneko Ono

Since Specialization

Citations

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

Fields of papers citing papers by Tsuneko Ono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuneko Ono

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

All Works

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20 of 20 papers shown

Nakayama‐Imaohji, Haruyuki, Hirofumi Nariya, Hisashi Yamasaki, et al.. (2018). Ethanolamine utilization supports Clostridium perfringens growth in infected tissues. Microbial Pathogenesis. 119. 200–207. 5 indexed citations

Vidučić, Darija, et al.. (2017). Role of the interplay between quorum sensing regulator VqsR and the Pseudomonas quinolone signal in mediating carbapenem tolerance in Pseudomonas aeruginosa. Research in Microbiology. 168(5). 450–460. 5 indexed citations

Vidučić, Darija, et al.. (2017). RpoN Promotes Pseudomonas aeruginosa Survival in the Presence of Tobramycin. Frontiers in Microbiology. 8. 839–839. 24 indexed citations

Ono, Tsuneko, Keiji Murakami, & Yoichiro Miyake. (2012). Regulatory networks for antibiotic tolerance and biofilm formation in Pseudomonas aeruginosa. Nippon Saikingaku Zasshi. 67(2). 227–243. 2 indexed citations

Kayama, Shizuo, et al.. (2009). The role ofrpoSgene and quorum-sensing system in ofloxacin tolerance inPseudomonas aeruginosa. FEMS Microbiology Letters. 298(2). 184–192. 46 indexed citations

Liu, Dali, Hiromichi Yumoto, Keiji Murakami, et al.. (2008). The essentiality and involvement of Streptococcus intermedius histone‐like DNA‐binding protein in bacterial viability and normal growth. Molecular Microbiology. 68(5). 1268–1282. 25 indexed citations

Murakami, Keiji, Tsuneko Ono, Darija Vidučić, et al.. (2004). Role forrpoSgene ofPseudomonas aeruginosain antibiotic tolerance. FEMS Microbiology Letters. 242(1). 161–167. 98 indexed citations

Taniguchi, K., Tsuneko Ono, Keiji Murakami, et al.. (2003). Novel Pseudomonas aeruginosa Gene That Suppresses Tolerance to Carbapenems. Antimicrobial Agents and Chemotherapy. 47(9). 2997–3001. 12 indexed citations

Nemoto, Ken, et al.. (2000). Effect of Varidase (Streptokinase) on Biofilm Formed by <i>Staphylococcus aureus</i>. Chemotherapy. 46(2). 111–115. 45 indexed citations

10.

Hirota, Katsuhiko, Ken Nemoto, Tsuneko Ono, et al.. (1998). Fosfomycin Reduces CD15s-Related Antigen Expression ofStreptococcus pyogenes. Antimicrobial Agents and Chemotherapy. 42(5). 1083–1087. 8 indexed citations

11.

Nemoto, Ken, et al.. (1995). Cross-reactivity between human sialyl Lewis^xoligosaccharide and common causative oral bacteria of infective endocarditis. FEMS Immunology & Medical Microbiology. 12(2). 159–164. 24 indexed citations

12.

Nemoto, K., Ro Osawa, Katsuhiko Hirota, Tsuneko Ono, & Y. Miyake. (1995). An investigation of gram-negative tannin-protein complex degrading bacteria in fecal flora of various mammals.. Journal of Veterinary Medical Science. 57(5). 921–926. 32 indexed citations

13.

Ono, Tsuneko, et al.. (1994). Detection of Streptococcus mutans by PCR amplification of spaP gene. Journal of Medical Microbiology. 41(4). 231–235. 30 indexed citations

14.

Akimoto, Shigeru, et al.. (1994). Complete Sequence of the Bacteroides fragilis YCH46 Neuraminidase-Encoding Gene. Biochemical and Biophysical Research Communications. 203(2). 914–921. 17 indexed citations

15.

Ono, Tsuneko, Shigeru Akimoto, Takemi Kinouchi, Keiko Kataoka, & Yoshinari Ohnishi. (1994). Cloning and expression of theBacteroides fragilisYCH46 neuraminidase gene inEschirichia coliandBacteroides uniformis. FEMS Microbiology Letters. 121(2). 153–158. 9 indexed citations

16.

Ono, Tsuneko. (1994). Cloning and expression of the Bacteroides fragilis YCH46 neuraminidase gene in Eschirichia coli and Bacteroides uniformis. FEMS Microbiology Letters. 121(2). 153–158. 1 indexed citations

17.

Akimoto, Shigeru, et al.. (1989). Transcriptional regulation of F plasmid gene srnB: rifampicin‐promoted in vitro readthrough of a terminator in the leader region. Molecular Microbiology. 3(6). 787–796. 4 indexed citations

18.

Ono, Tsuneko, Shigeru Akimoto, Kenji Ono, & Yoshinari Ohnishi. (1986). Plasmid genes increase membrane permeability in Escherichia coli. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 867(3). 81–88. 12 indexed citations

19.

Ono, Tsuneko & Yoshinari Ohnishi. (1981). Degradation of Ribosomal RNA in Bacteriophage Lambda Lysogens after Thermal Induction. Microbiology and Immunology. 25(5). 433–444. 8 indexed citations

20.

Ohnishi, Yoshinari, et al.. (1977). Genetic mapping of the F plasmid gene that promotes degradation of stable ribonucleic acid in Escherichia coli. Journal of Bacteriology. 132(3). 784–789. 26 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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