Ayako Ono

1.6k citations
73 papers · 1.1k · h-index 19

Impact in

Papers in

Ayako Ono

64 papers receiving 1.0k citations

Peers

Ayako Ono
Comparison fields: 5 of 129
  • Aging 36
  • Immunology 259
  • Agronomy and Crop Science 103
  • Computational Mechanics 166
  • Mechanical Engineering 227
Replace Ayaka Sato with:
Ayaka Sato Japan
Takaharu Yamamoto Japan
Xiaohui Li China
Stephan Schröder Germany
Mitsunobu Matsumoto Japan
Ryo Nishimura Japan
Takeshi UCHIYAMA Japan
Feifei Zhang China
Y. Yoshimoto Japan
Nilay Chakraborty United States
Ayako Ono relative to Ayaka Sato Japan Ayaka Sato's profile →
Citations per field
00.5×20×40×51.5×
Ayaka Sato · 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 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011156
2 200879
3 199871
4 201065
5 199648
6 199547
7 199844
8
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.
199739
9 199838
10 199838
11 200736
12 200931
13 199629
14 201525
15 200824
16 199420
17 199820
18 200618
19 200618
20 200917

About Ayako Ono

Ayako Ono is a scholar working on Aerospace Engineering, Mechanical Engineering, Molecular Biology, Computational Mechanics and Materials Chemistry, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (18 papers), Nuclear reactor physics and engineering (13 papers), Nuclear Materials and Properties (9 papers), Heat Transfer and Boiling Studies (9 papers), Spaceflight effects on biology (8 papers), T-cell and Retrovirus Studies (7 papers), Planetary Science and Exploration (7 papers) and Space Exploration and Technology (6 papers). The work is most often cited by research in Aging (36 citations), Immunology (259 citations), Agronomy and Crop Science (103 citations), Computational Mechanics (166 citations) and Mechanical Engineering (227 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, Katsuya Uchiyama and Utano Tomaru. Their work appears in journals such as Journal of Nuclear Science and Technology, International Journal of Heat and Mass Transfer, Yeast, Genomics and Chemistry Letters.

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.

Explore authors with similar magnitude of impact