Chiaki Ito

34 papers receiving 457 citations

Peers

Chiaki Ito
Comparison fields: 5 of 96
  • Endocrine and Autonomic Systems 35
  • Physiology 23
  • Neurology 52
  • Animal Science and Zoology 33
  • Cellular and Molecular Neuroscience 57
Replace Jerome A. Moore with:
Jerome A. Moore United States
Gerald P. McCafferty United States
Meng‐Liang Zhao United States
Christina Krüger Germany
Yoshiharu Kobayashi Japan
Kathrin Hafner Germany
Suguru Saito Japan
J.‐E. Månsson Sweden
Johanna Uusimaa Finland
Michael G. White United States
Chiaki Ito relative to Jerome A. Moore United States Jerome A. Moore's profile →
Citations per field
00.5×4.6×
Jerome A. Moore · 1×
Citations per year

Countries citing papers authored by Chiaki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Chiaki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991109
2 201394
3
Moyamoya syndrome in young children: MR comparison with adult onset.
199325
4 199125
5 201224
6 201819
7 201716
8 200916
9 202113
10 200713
11 201511
12 201311
13 199610
14 202010
15 20128
16 19996
17 20226
18 19856
19 19816
20 19825

About Chiaki Ito

Chiaki Ito is a scholar working on Epidemiology, Electrical and Electronic Engineering, Physical and Theoretical Chemistry, Molecular Biology and Neurology, having authored 35 papers that have together received 470 indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (6 papers), Animal Nutrition and Physiology (3 papers), Neurological Complications and Syndromes (3 papers), Autophagy in Disease and Therapy (3 papers), Laser Design and Applications (3 papers), Moyamoya disease diagnosis and treatment (3 papers), Infant Nutrition and Health (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (35 citations), Physiology (23 citations), Neurology (52 citations), Animal Science and Zoology (33 citations) and Cellular and Molecular Neuroscience (57 citations). Chiaki Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Norio Akaike, Minoru Wakamori, Masaaki Toyomizu, Motoi Kikusato, Hirokazu Arimoto, Yohei Saito, Tomohiro Sawa, Shigemoto Fujii, Takaaki Akaike and Shinzo Muto. Their work appears in journals such as Japanese Journal of Applied Physics, Neuroradiology, Neurologia medico-chirurgica, Scientific Reports and Skin Research and Technology.

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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