Yosuke Omae

2.6k citations
48 papers · 604 · h-index 14

Impact in

    • Antimicrobial Resistance in Staphylococcus
    • SARS-CoV-2 and COVID-19 Research
    • Antimicrobial Peptides and Activities

Papers in

    • Immune Cell Function and Interaction 15
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 12
    • Antimicrobial Resistance in Staphylococcus 10
    • Tuberculosis Research and Epidemiology 4

Yosuke Omae

41 papers receiving 596 citations

Peers

Yosuke Omae
Comparison fields: 5 of 81
  • Infectious Diseases 345
  • Microbiology 74
  • Molecular Medicine 36
  • Clinical Biochemistry 38
  • Molecular Biology 361
Replace Dandan Dong with:
Dandan Dong China
Gabriella Garufi United States
Caitlyn R. Scharn United States
Michael J. Elmore United Kingdom
Simon Döhrmann United States
Justin A. Thornton United States
W. Bautsch Germany
Wasiulla Rafi United States
Miriam Ender Switzerland
Laura M. Palma Medina Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Yosuke Omae

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Omae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011105
2 201391
3 202150
4 201738
5 200836
6 201325
7 201524
8 201123
9 201619
10 201119
11 201219
12 201718
13 201417
14 202316
15 201911
16 202411
17 201910
18 201810
19 20229
20 20168

About Yosuke Omae

Yosuke Omae is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Genetics, having authored 48 papers that have together received 604 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial biofilms and quorum sensing (7 papers), Biochemical and Structural Characterization (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Infectious Diseases (345 citations), Microbiology (74 citations), Molecular Medicine (36 citations), Clinical Biochemistry (38 citations) and Molecular Biology (361 citations). Yosuke Omae has collaborated with scholars based in Japan, Thailand and Singapore. Frequent co-authors include Chikara Kaito, Kazuhisa Sekimizu, Yuki Saito, Katsushi Tokunaga, Teruyo Ito, Mariko Ikuo, Yuichi Hanada, Xiao Han, Seik‐Soon Khor and Hiroki Yamaguchi. Their work appears in journals such as HLA, Scientific Reports, PLoS ONE, Microbial Pathogenesis and Frontiers in Immunology.

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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