Yusuke Sato’o

1.0k citations
27 papers · 748 · h-index 15

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 17
    • Clostridium difficile and Clostridium perfringens research 4
    • Bacterial biofilms and quorum sensing 10
    • CRISPR and Genetic Engineering 4

Yusuke Sato’o

27 papers receiving 741 citations

Peers

Yusuke Sato’o
Comparison fields: 5 of 76
  • Infectious Diseases 367
  • Biotechnology 129
  • Molecular Medicine 59
  • Endocrinology 51
  • Microbiology 61
Replace Katarí­na Oravcová with:
Katarí­na Oravcová United Kingdom
Simon Heilbronner Germany
Rinaldo Ferreira Gandra Brazil
Daniel Benito Spain
Hisaya K. Ono Japan
Carolyn R. Schaeffer United States
Stanislava Kocianova United States
Shin-nosuke Hashikawa Japan
Kati Seidl Switzerland
Erin K. Sully United States
Yusuke Sato’o relative to Katarí­na Oravcová United Kingdom Katarí­na Oravcová's profile →
Citations per field
00.5×6.2×
Katarí­na Oravcová · 1×
Citations per year

Countries citing papers authored by Yusuke Sato’o

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Sato’o

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yusuke Sato’o. 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 Yusuke Sato’o. The network helps show where Yusuke Sato’o may publish in the future.

Co-authors

The 25 scholars most cited alongside Yusuke Sato’o, 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 Yusuke Sato’o Line = papers co-authored together Yusuke Sato’o links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020157
2 201583
3 201577
4 201452
5 202044
6 201239
7 202033
8 201828
9 201728
10 201827
11 201427
12 201726
13 201923
14 201920
15 201519
16 201511
17 201511
18 20188
19 20167
20 20216

About Yusuke Sato’o

Yusuke Sato’o is a scholar working on Infectious Diseases, Molecular Biology, Genetics, Biotechnology and Food Science, having authored 27 papers that have together received 748 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Bacterial biofilms and quorum sensing (10 papers), Bacterial Genetics and Biotechnology (9 papers), CRISPR and Genetic Engineering (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Probiotics and Fermented Foods (4 papers), Microbial Metabolism and Applications (3 papers) and Microbial Inactivation Methods (3 papers). The work is most often cited by research in Infectious Diseases (367 citations), Biotechnology (129 citations), Molecular Medicine (59 citations), Endocrinology (51 citations) and Microbiology (61 citations). Yusuke Sato’o has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hisaya K. Ono, Motoyuki Sugai, Katsuhiko Omoe, Akio Nakane, Dong‐Liang Hu, Longzhu Cui, Teppei Sasahara, Junzo Hisatsune, Shinya Watanabe and Yoshifumi Aiba. Their work appears in journals such as Frontiers in Microbiology, Scientific Reports, Applied and Environmental Microbiology, Journal of Microbiological Methods and PLoS ONE.

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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