Kaoru Ito

11.5k citations
88 papers · 2.4k · h-index 26

Impact in

Papers in

    • Receptor Mechanisms and Signaling 11
    • RNA Research and Splicing 5
    • Signaling Pathways in Disease 5
    • Amyloidosis: Diagnosis, Treatment, Outcomes 5
    • Skin and Cellular Biology Research 12

Kaoru Ito

84 papers receiving 2.4k citations

Peers

Kaoru Ito
Comparison fields: 5 of 123
  • Urology 151
  • Cardiology and Cardiovascular Medicine 470
  • Neurology 249
  • Cellular and Molecular Neuroscience 320
  • Cell Biology 289
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Chi-chung Hui Canada
V.A. McKusick United States
Enric Condom Spain
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Dorothy K. Grange United States
Chih‐Chao Yang Taiwan
Jinah Han United States
Akira Igarashi Japan
Mack H. Wu United States
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Citations per year

Countries citing papers authored by Kaoru Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003311
2 2018178
3 2009156
4 2012150
5 2008144
6 2013110
7 202290
8 202270
9 198665
10 201763
11 200149
12 200544
13 201443
14 200141
15 202039
16 200938
17 201338
18 198438
19 200133
20 200933

About Kaoru Ito

Kaoru Ito is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 88 papers that have together received 2.4k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (12 papers), Receptor Mechanisms and Signaling (11 papers), Hair Growth and Disorders (10 papers), Neuropeptides and Animal Physiology (8 papers), Genetic Associations and Epidemiology (6 papers), RNA Research and Splicing (5 papers), Signaling Pathways in Disease (5 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers). The work is most often cited by research in Urology (151 citations), Cardiology and Cardiovascular Medicine (470 citations), Neurology (249 citations), Cellular and Molecular Neuroscience (320 citations) and Cell Biology (289 citations). Kaoru Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaaki Ito, Issei Komuro, Takanori Yokota, Hidehiro Mizusawa, Ryōsuke Takahashi, Hiroyoshi Ariga, Kanako Sugawara, Hiroshi Akazawa, Ken Hashimoto and Noriaki Aoki. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Biological Chemistry, The Journal of Dermatology, Journal of Dermatological Science and Proceedings of the National Academy of Sciences.

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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