Daisuke Kato

746 citations
35 papers · 441 · h-index 11

Impact in

    • SARS-CoV-2 detection and testing
    • Viral Infections and Vectors
    • Viral Infections and Outbreaks Research
    • SARS-CoV-2 and COVID-19 Research
  • Periodontics top 10%

Papers in

    • SARS-CoV-2 detection and testing 6
    • Viral Infections and Vectors 4
    • Viral Infections and Outbreaks Research 3
    • Viral gastroenteritis research and epidemiology 2
    • Chronic Disease Management Strategies 5
    • Hepatitis B Virus Studies 3

Daisuke Kato

32 papers receiving 438 citations

Peers

Daisuke Kato
Comparison fields: 5 of 98
  • Infectious Diseases 156
  • Periodontics 22
  • Emergency Medical Services 25
  • Public Health, Environmental and Occupational Health 75
  • Epidemiology 71
Replace Ryan Munyon with:
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Citations per field
00.5×4.5×
Ryan Munyon · 1×
Citations per year

Countries citing papers authored by Daisuke Kato

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 201985
3 202130
4 202124
5 201624
6 202119
7 202115
8 202215
9 201913
10 201613
11 201710
12 20069
13 20189
14 20218
15 20207
16 19997
17 20087
18 20196
19 20225
20 20215

About Daisuke Kato

Daisuke Kato is a scholar working on Infectious Diseases, Epidemiology, Periodontics, Public Health, Environmental and Occupational Health and General Health Professions, having authored 35 papers that have together received 441 indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (6 papers), SARS-CoV-2 detection and testing (6 papers), Chronic Disease Management Strategies (5 papers), Viral Infections and Vectors (4 papers), Hepatitis B Virus Studies (3 papers), Viral Infections and Outbreaks Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Infectious Diseases (156 citations), Periodontics (22 citations), Emergency Medical Services (25 citations), Public Health, Environmental and Occupational Health (75 citations) and Epidemiology (71 citations). Daisuke Kato has collaborated with scholars based in Japan, United States and Zambia. Frequent co-authors include Takashi Suzuki, Makoto Kaneko, Nobuo Sugiura, Koji Kimata, Kazuya I.P.J. Hidari, Kouichi Morita, Yasuo Suzuki, Robin Ramsay, Atsuo Ueda and Tomoki Matsumoto. Their work appears in journals such as International Journal of Environmental Research and Public Health, Viruses, Pharmacology, Scientific Reports and Antiviral Research.

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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