Kyoko Itoh

4.3k citations
150 papers · 3.0k · h-index 31

Impact in

Papers in

    • Muscle Physiology and Disorders 15
    • Mitochondrial Function and Pathology 13
    • Parkinson's Disease Mechanisms and Treatments 12

Kyoko Itoh

142 papers receiving 3.0k citations

Peers

Kyoko Itoh
Comparison fields: 5 of 124
  • Developmental Neuroscience 172
  • Health, Toxicology and Mutagenesis 555
  • Cellular and Molecular Neuroscience 452
  • Neurology 306
  • Cell Biology 327
Replace Leda Dalprà with:
Leda Dalprà Italy
Karin Pernet‐Gallay France
Weijun Pan China
Toshihiro Fujiwara Japan
Yoshiro Toyama Japan
Maha S. Zaki Egypt
Luc Schoonjans Belgium
Ming‐Jen Lee Taiwan
Kwon‐Yul Ryu South Korea
Yong Fan China
Kyoko Itoh relative to Leda Dalprà Italy Leda Dalprà's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kyoko Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Kyoko Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000185
2 2008163
3 2008144
4 2001114
5 200695
6 200089
7 201286
8 201179
9 201178
10 200474
11 200769
12 201464
13 199660
14 201953
15 200652
16 201049
17 201044
18 201043
19 201243
20 201042

About Kyoko Itoh

Kyoko Itoh is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Oncology and Cell Biology, having authored 150 papers that have together received 3.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Effects and risks of endocrine disrupting chemicals (13 papers), Mitochondrial Function and Pathology (13 papers), Parkinson's Disease Mechanisms and Treatments (12 papers), Genetic Neurodegenerative Diseases (12 papers), Endometriosis Research and Treatment (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Cancer Immunotherapy and Biomarkers (8 papers). The work is most often cited by research in Developmental Neuroscience (172 citations), Health, Toxicology and Mutagenesis (555 citations), Cellular and Molecular Neuroscience (452 citations), Neurology (306 citations) and Cell Biology (327 citations). Kyoko Itoh has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shinji Fushiki, Takeshi Yaoi, Keiko Nakamura, Hiroshi Ogi, Serge Weis, Yasuhiro Fujiwara, Tohru Sugimoto, Kohsuke Takeda, P. Mehraein and Parviz Mehraein. Their work appears in journals such as Neuropathology, Brain and Development, Biochemical and Biophysical Research Communications, Acta Neuropathologica and Pathology International.

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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