Ayako Ono

1.6k citations
70 papers · 989 · h-index 18

Impact in

Papers in

Ayako Ono

61 papers receiving 958 citations

Peers

Ayako Ono
Comparison fields: 5 of 125
  • Aging 33
  • Immunology 250
  • Agronomy and Crop Science 120
  • Computational Mechanics 160
  • Ecology, Evolution, Behavior and Systematics 117
Replace Ting‐Yi Lin with:
Ting‐Yi Lin Taiwan
Ayaka Sato Japan
Ryo Nishimura Japan
Tsunglin Liu Taiwan
Masaaki Okada Japan
Mitsunobu Matsumoto Japan
E. Priel Israel
Takeshi UCHIYAMA Japan
Feifei Zhang China
Takaharu Yamamoto Japan
Ayako Ono relative to Ting‐Yi Lin Taiwan Ting‐Yi Lin's profile →
Citations per field
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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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011150
2 200878
3 199867
4 201062
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 200926
13 199625
14 201524
15 200824
16 199420
17 200617
18 200917
19 199816
20
Japonisme in Britain: Whistler, Menpes, Henry, Hornel and nineteenth-century Japan
200315

About Ayako Ono

Ayako Ono is a scholar working on Aerospace Engineering, Mechanical Engineering, Molecular Biology, Materials Chemistry and Computational Mechanics, having authored 70 papers that have together received 989 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 (250 citations), Agronomy and Crop Science (120 citations), Computational Mechanics (160 citations) and Ecology, Evolution, Behavior and Systematics (117 citations). Ayako Ono has collaborated with scholars based in Japan, Germany and South Korea. Frequent co-authors include Hiroto Sakashita, Manabu Mochizuki, Toshiki Watanabe, Hideki Kamide, Koichi Narasaka, Natsuki Miyata, N. Kimura, K Yamaguchi, 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, Chemistry Letters, Yeast and Genomics.

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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