Tsuneko Ono

798 citations
31 papers · 656 · h-index 16

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 12
    • RNA and protein synthesis mechanisms 5
    • Bacterial Genetics and Biotechnology 21

Tsuneko Ono

31 papers receiving 632 citations

Peers

Tsuneko Ono
Comparison fields: 5 of 77
  • Molecular Medicine 244
  • Endocrinology 87
  • Periodontics 53
  • Genetics 256
  • Applied Microbiology and Biotechnology 17
Replace Ryan P. Lamers with:
Ryan P. Lamers Canada
Channakhone Saenphimmachak United States
Dietmar Grothues Germany
Laetitia Attaiech France
Benjamin J. Staudinger United States
Alfonso Santos-López Spain
Lakshmi Chandramohan United States
Claire Hennequin France
Shizuo Kayama Japan
Julio Diaz Caballero Canada
Tsuneko Ono relative to Ryan P. Lamers Canada Ryan P. Lamers's profile →
Citations per field
00.5×2.6×
Ryan P. Lamers · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tsuneko Ono, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tsuneko Ono Line = papers co-authored together Tsuneko Ono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200498
2 200676
3 200946
4 200045
5 199532
6 200732
7 199430
8 197726
9 200825
10 199524
11 201724
12 200023
13 201723
14 201621
15 198618
16 199417
17 200312
18 198612
19 198110
20 19949

About Tsuneko Ono

Tsuneko Ono is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 31 papers that have together received 656 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Bacterial biofilms and quorum sensing (12 papers), Antibiotic Resistance in Bacteria (12 papers), RNA and protein synthesis mechanisms (5 papers), Streptococcal Infections and Treatments (4 papers), Bacteriophages and microbial interactions (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (244 citations), Endocrinology (87 citations), Periodontics (53 citations), Genetics (256 citations) and Applied Microbiology and Biotechnology (17 citations). Tsuneko Ono has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yoichiro Miyake, Keiji Murakami, Katsuhiko Hirota, Darija Vidučić, Shizuo Kayama, Ken Nemoto, Yoshinari Ohnishi, Shigeru Akimoto, Makiko Mori and K. Nemoto. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecular Microbiology, Microbial Pathogenesis, Frontiers in Microbiology and Journal of Bacteriology.

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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