Daisuke Ono

94 papers receiving 2.5k citations

Peers

Daisuke Ono
Comparison fields: 5 of 137
  • Endocrine and Autonomic Systems 1.5k
  • Aging 118
  • Cellular and Molecular Neuroscience 832
  • Cognitive Neuroscience 663
  • Environmental Chemistry 176
Replace Masaki Kobayashi with:
Masaki Kobayashi Japan
Jun Hirayama Japan
David R. Stevens Germany
Rika Numano Japan
Christoph R. Bauer Switzerland
Bruno G. Frenguelli United Kingdom
Hui Dong China
Michael A. Rea United States
Tohru Kodama Japan
Robert Dallmann United Kingdom
Daisuke Ono relative to Masaki Kobayashi Japan Masaki Kobayashi's profile →
Citations per field
00.5×2×3.3×
Masaki Kobayashi · 1×
Citations per year

Countries citing papers authored by Daisuke Ono

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007233
2 2015205
3 2019157
4 201391
5 201291
6 202078
7 201875
8 201570
9 202167
10 201965
11 201662
12 201761
13 201759
14 201950
15 201249
16 202146
17 201246
18 201745
19 201943
20 201743

About Daisuke Ono

Daisuke Ono is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Environmental Chemistry and Organic Chemistry, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (47 papers), Sleep and Wakefulness Research (21 papers), Photoreceptor and optogenetics research (19 papers), Surfactants and Colloidal Systems (14 papers), Light effects on plants (11 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Environmental Chemistry and Analysis (10 papers) and Neuroendocrine regulation and behavior (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.5k citations), Aging (118 citations), Cellular and Molecular Neuroscience (832 citations), Cognitive Neuroscience (663 citations) and Environmental Chemistry (176 citations). Daisuke Ono has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Sato Honma, Ken‐ichi Honma, Akihiro Yamanaka, Natsuko Inagaki, Yusuke Tanahashi, Ryosuke Enoki, Tokuji Takeda, Araki Masuyama, Michihiro Mieda and Srikanta Chowdhury. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Neuroscience, Scientific Reports, Science Advances and Journal of the American Oil Chemists Society.

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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