Ayako Ono

1.6k citations
69 papers · 993 · h-index 18

Impact in

Papers in

Ayako Ono

61 papers receiving 966 citations

Peers

Ayako Ono
Comparison fields: 5 of 125
  • Aging 33
  • Immunology 246
  • Agronomy and Crop Science 95
  • Computational Mechanics 162
  • Mechanical Engineering 223
Replace Yubao Wang with:
Yubao Wang China
Ayaka Sato Japan
Masaaki Okada Japan
Mitsunobu Matsumoto Japan
Koji Higuchi Japan
Xiaohui Li China
Ryo Nishimura Japan
Takaharu Yamamoto Japan
Takeshi UCHIYAMA Japan
Yimin Liu China
Ayako Ono relative to Yubao Wang China Yubao Wang's profile →
Citations per field
00.5×10×15×20×23.8×
Yubao Wang · 1×
Citations per year

Countries citing papers authored by Ayako Ono

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 200879
3 199867
4 201063
5 199646
6 199544
7 199842
8 199836
9 200736
10
Immunologic and virologic characterization of the primary infiltrating cells in the aqueous humor of human T-cell leukemia virus type-1 uveitis. Accumulation of the human T-cell leukemia virus type-1-infected cells and constitutive expression of viral and interleukin-6 messenger ribonucleic acids.
199735
11 199830
12 200927
13 199625
14 201524
15 200824
16 199420
17 200917
18 200617
19 199816
20 200615

About Ayako Ono

Ayako Ono is a scholar working on Aerospace Engineering, Mechanical Engineering, Molecular Biology, Materials Chemistry and Computational Mechanics, having authored 69 papers that have together received 993 indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (17 papers), Nuclear reactor physics and engineering (12 papers), Nuclear Materials and Properties (9 papers), Heat Transfer and Boiling Studies (9 papers), T-cell and Retrovirus Studies (7 papers), Space Exploration and Technology (6 papers), Planetary Science and Exploration (6 papers) and Spaceflight effects on biology (6 papers). The work is most often cited by research in Aging (33 citations), Immunology (246 citations), Agronomy and Crop Science (95 citations), Computational Mechanics (162 citations) and Mechanical Engineering (223 citations). Ayako Ono has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hiroto Sakashita, Toshiki Watanabe, Manabu Mochizuki, Koichi Narasaka, Hideki Kamide, Natsuki Miyata, K Yamaguchi, N. Kimura, Masanori Kasahara and Akihiro Ishizu. Their work appears in journals such as Journal of Nuclear Science and Technology, International Journal of Heat and Mass Transfer, Genomics, Chemistry Letters and Yeast.

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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