Koichi Tanimoto

2.0k citations
59 papers · 1.5k indexed · h-index 22
Topics
Antimicrobial Resistance in Staphylococcus (25 papers)Bacterial Genetics and Biotechnology (21 papers)Bacterial biofilms and quorum sensing (17 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Koichi Tanimoto

58 papers receiving 1.4k citations

Peers

Koichi Tanimoto
Comparison fields: 5 of 88
  • Molecular Biology 681
  • Infectious Diseases 616
  • Food Science 348
  • Molecular Medicine 325
  • Genetics 279
Replace Haruyoshi Tomita with:
Haruyoshi Tomita Japan
Mark de Been Netherlands
Veronica N. Kos United States
Sarah L. Baines Australia
John Pace United States
Jennifer K. Bender Germany
Susana Gardete United States
Tomasz Hauschild Poland
Andrea Brenciani Italy
Val F. Lanza Spain
Koichi Tanimoto relative to Haruyoshi Tomita Japan Haruyoshi Tomita's profile →
Citations per field
00.5×1.5×
Haruyoshi Tomita · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 9
3 2
4 17
5 6
6 20
7 15
8 13
9 40
10 28
11 3
12 11
13 52
14 15
15 12
16 35
17 69
18 17
19 14
20 43

About Koichi Tanimoto

Koichi Tanimoto is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (25 papers), Bacterial Genetics and Biotechnology (21 papers) and Bacterial biofilms and quorum sensing (17 papers). The work is most often cited by research in Molecular Medicine (325 citations), Clinical Biochemistry (257 citations) and Infectious Diseases (616 citations). Koichi Tanimoto has collaborated with scholars based in Japan, United States and China. Frequent 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. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Journal of Clinical Microbiology.

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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