Chikako Ono

3.2k citations
68 papers · 1.6k · h-index 20

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 26
    • COVID-19 Clinical Research Studies 13
    • Viral gastroenteritis research and epidemiology 6
    • Hepatitis B Virus Studies 8

Chikako Ono

67 papers receiving 1.6k citations

Peers

Chikako Ono
Comparison fields: 5 of 109
  • Hepatology 320
  • Infectious Diseases 476
  • Virology 72
  • Epidemiology 358
  • Animal Science and Zoology 102
Replace Chia-Yi Yu with:
Chia-Yi Yu Taiwan
Linbai Ye China
Selena M. Sagan Canada
Shubham Shrivastava United States
Heather L. Stevenson United States
Yongfen Xu China
Jürgen Haas United Kingdom
Bertrand Bellier France
Hans Henrik Gad Denmark
Hans-Heinrich Hoffmann United States
Chikako Ono relative to Chia-Yi Yu Taiwan Chia-Yi Yu's profile →
Citations per field
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Chia-Yi Yu · 1×
Citations per year

Countries citing papers authored by Chikako Ono

Since Specialization
Citations

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

Fields of papers citing papers by Chikako Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020234
2 2013134
3 2012103
4 202197
5 201293
6 201672
7 201171
8 201469
9 201761
10 201857
11 201544
12 200740
13 201639
14 201328
15 201924
16 202124
17 201721
18 202120
19 201719
20 202119

About Chikako Ono

Chikako Ono is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Hepatology and Immunology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (26 papers), Hepatitis C virus research (16 papers), COVID-19 Clinical Research Studies (13 papers), Viral Infectious Diseases and Gene Expression in Insects (11 papers), Hepatitis B Virus Studies (8 papers), HIV Research and Treatment (7 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Hepatology (320 citations), Infectious Diseases (476 citations), Virology (72 citations), Epidemiology (358 citations) and Animal Science and Zoology (102 citations). Chikako Ono has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Yoshiharu Matsuura, Takasuke Fukuhara, Toru Okamoto, Mai Shiokawa, Hisanori Bando, Shin‐ichiro Asano, Ken Sahara, Wataru Kamitani, Yuzy Fauzyah and Hiroto Kambara. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Scientific Reports, Microbiology Spectrum and Proceedings of the National Academy of Sciences.

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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