Chiaki Ito

34 papers receiving 464 citations

Peers

Chiaki Ito
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 34
  • Physiology 23
  • Neurology 50
  • Epidemiology 96
  • Animal Science and Zoology 32
Replace Meng‐Liang Zhao with:
Meng‐Liang Zhao United States
Ji‐Zhong Bai New Zealand
Ayako Matsuo Japan
Xiaoou Sun China
Shinji Usuda Japan
Jerome A. Moore United States
Yin Liu United States
Juan Fu China
América Vanoye–Carlo Mexico
Markus Schäfer Germany
Chiaki Ito relative to Meng‐Liang Zhao United States Meng‐Liang Zhao's profile →
Citations per field
00.5×6.4×
Meng‐Liang Zhao · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991109
2 201396
3
Moyamoya syndrome in young children: MR comparison with adult onset.
199325
4 199125
5 201224
6 201819
7 201718
8 200917
9 200713
10 202113
11 201312
12 202011
13 201511
14 199610
15 20128
16 20226
17 19996
18 19816
19 19856
20 19825

About Chiaki Ito

Chiaki Ito is a scholar working on Epidemiology, Electrical and Electronic Engineering, Molecular Biology, Physical and Theoretical Chemistry and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 477 indexed citations. Recurring topics across this work include Photochemistry and Electron Transfer Studies (6 papers), Moyamoya disease diagnosis and treatment (3 papers), Laser Design and Applications (3 papers), Autophagy in Disease and Therapy (3 papers), Animal Nutrition and Physiology (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (34 citations), Physiology (23 citations), Neurology (50 citations), Epidemiology (96 citations) and Animal Science and Zoology (32 citations). Chiaki Ito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Norio Akaike, Minoru Wakamori, Motoi Kikusato, Masaaki Toyomizu, Hirokazu Arimoto, Tomohiro Sawa, Shinzo Muto, Takaaki Akaike, Yohei Saito and Shigemoto Fujii. Their work appears in journals such as Neuroradiology, Neurologia medico-chirurgica, Japanese Journal of Applied Physics, Biochemical and Biophysical Research Communications and Molecular Cell.

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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