Kaoru Ito

11.1k total citations
87 papers, 2.4k citations indexed

About

Kaoru Ito is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Kaoru Ito has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Cell Biology and 15 papers in Genetics. Recurrent topics in Kaoru Ito's work include Skin and Cellular Biology Research (12 papers), Receptor Mechanisms and Signaling (11 papers) and Hair Growth and Disorders (9 papers). Kaoru Ito is often cited by papers focused on Skin and Cellular Biology Research (12 papers), Receptor Mechanisms and Signaling (11 papers) and Hair Growth and Disorders (9 papers). Kaoru Ito collaborates with scholars based in Japan, United States and United Kingdom. Kaoru Ito's co-authors include Masaaki Ito, Hidehiro Mizusawa, Takanori Yokota, Issei Komuro, Kanako Sugawara, Hiroyoshi Ariga, Ryōsuke Takahashi, Hiroshi Akazawa, Ken Hashimoto and Noriaki Aoki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kaoru Ito

82 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaoru Ito Japan 26 1.0k 562 330 310 260 87 2.4k
Elon Pras Israel 29 1.2k 1.2× 451 0.8× 161 0.5× 289 0.9× 93 0.4× 96 2.9k
Enric Condom Spain 37 1.7k 1.6× 411 0.7× 252 0.8× 100 0.3× 115 0.4× 106 3.6k
Shinji Kosugi Japan 36 1.6k 1.6× 249 0.4× 563 1.7× 94 0.3× 219 0.8× 177 4.4k
Siu Yuen Chan Hong Kong 32 1.4k 1.4× 409 0.7× 376 1.1× 213 0.7× 40 0.2× 99 3.5k
Thomas F. Wienker Germany 32 1.9k 1.9× 221 0.4× 270 0.8× 103 0.3× 128 0.5× 79 4.1k
Andrew J. Sweatt United States 22 609 0.6× 295 0.5× 292 0.9× 181 0.6× 49 0.2× 56 2.0k
Stefania Petrini Italy 34 2.2k 2.2× 312 0.6× 320 1.0× 352 1.1× 125 0.5× 127 3.7k
Keiko Uchida Japan 35 1.8k 1.7× 484 0.9× 199 0.6× 270 0.9× 43 0.2× 233 4.9k
Rui M. B. Maciel Brazil 31 1.2k 1.2× 277 0.5× 184 0.6× 151 0.5× 118 0.5× 186 3.6k
Pankaj B. Agrawal United States 31 1.4k 1.4× 663 1.2× 237 0.7× 321 1.0× 95 0.4× 142 3.0k

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-authorship network of co-authors of Kaoru Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Ito. A scholar is included among the top collaborators of Kaoru Ito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaoru Ito. Kaoru Ito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Smith, Johanna L., Catherine Tcheandjieu, Ozan Dikilitas, et al.. (2024). Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circulation Genomic and Precision Medicine. 17(3). e004272–e004272. 8 indexed citations
3.
Liu, Xiaoxi, Satoshi Koyama, Kohei Tomizuka, et al.. (2024). Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Science Advances. 10(16). eadi8419–eadi8419. 5 indexed citations
4.
Takae, Seido, et al.. (2023). Significance and Influence of Suturing for Ovarian Tissue Transplantation. Reproductive Sciences. 31(1). 162–172. 1 indexed citations
5.
Adachi, Yusuke, Kazutaka Ueda, Seitaro Nomura, et al.. (2022). Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling. Nature Communications. 13(1). 5117–5117. 84 indexed citations
6.
Patel, Parth, Kaoru Ito, Jon A. L. Willcox, et al.. (2021). Contribution of Noncanonical Splice Variants to TTN Truncating Variant Cardiomyopathy. Circulation Genomic and Precision Medicine. 14(5). e003389–e003389. 15 indexed citations
7.
Shimizu, Chisato, Jihoon Kim, Hariklia Eleftherohorinou, et al.. (2019). HLA-C variants associated with amino acid substitutions in the peptide binding groove influence susceptibility to Kawasaki disease. Human Immunology. 80(9). 731–738. 7 indexed citations
8.
Tajima, Tomoyuki, Hiroyuki Morita, Kaoru Ito, et al.. (2018). Blood lipid-related low-frequency variants in LDLR and PCSK9 are associated with onset age and risk of myocardial infarction in Japanese. Scientific Reports. 8(1). 8107–8107. 11 indexed citations
9.
Yamamoto, Kazutaka, et al.. (2014). Simplified Methods for Purification of Peanut Allergenic Proteins: Ara h 1, Ara h 2, and Ara h 3. Food Science and Technology Research. 20(4). 875–881. 13 indexed citations
10.
Ito, Kaoru, Alexander G. Bick, Jason Flannick, et al.. (2013). Increased Burden of Cardiovascular Disease in Carriers of APOL1 Genetic Variants. Circulation Research. 114(5). 845–850. 110 indexed citations
11.
Aoki, Tatsuo, Yoshihiro Fukumoto, Satoshi Yasuda, et al.. (2012). The Great East Japan Earthquake Disaster and cardiovascular diseases. European Heart Journal. 33(22). 2796–2803. 149 indexed citations
12.
Yamamoto, Rie, Hiroshi Akazawa, Hiroaki Fujihara, et al.. (2011). Angiotensin II Type 1 Receptor Signaling Regulates Feeding Behavior through Anorexigenic Corticotropin-releasing Hormone in Hypothalamus. Journal of Biological Chemistry. 286(24). 21458–21465. 25 indexed citations
13.
Akazawa, Hiroshi, Masaji Tamagawa, Kaoru Ito, et al.. (2009). Cardiac mast cells cause atrial fibrillation through PDGF-A–mediated fibrosis in pressure-overloaded mouse hearts. Journal of Clinical Investigation. 120(1). 242–253. 156 indexed citations
14.
Nagoshi, Yasuko, Toshihiro Kita, Tanenao Eto, et al.. (2003). Chronic Salt Loading Upregulates Expression of Adrenomedullin and Its Receptors in Adrenal Glands and Kidneys of the Rat. 18 indexed citations
15.
Aoki, Noriaki, S. Sawada, Yutaka Shimomura, et al.. (2001). A Novel Type II Cytokeratin, mK6irs, is Expressed in the Huxley and Henle Layers of the Mouse Inner Root Sheath. Journal of Investigative Dermatology. 116(3). 359–365. 41 indexed citations
16.
Ito, Kaoru, et al.. (1992). Epizootiology of the gullet worm, Gongylonema pulchrum Molin, 1857, from cattle in Aomori Prefecture, Japan. Kiseichūgaku zasshi. 41(4). 266–273. 9 indexed citations
17.
Ito, Kaoru. (1989). Anti-Keratin Autoantibodies and Lichenoid and Macular Amyloidosis. 37(1). 13–18. 1 indexed citations
18.
Tanaka, Masaaki, et al.. (1989). Woringer-Kolopp disease with collagen disease-like symptoms.. Skin Cancer. 4(1). 226–229. 1 indexed citations
19.
Weber, Paul J., et al.. (1988). Primary cutaneous amyloidosis of the auricular concha. Journal of the American Academy of Dermatology. 18(1). 19–25. 24 indexed citations
20.
Ando, Jun, Takeshi Kobayashi, Atsushi Miyamoto, et al.. (1978). [Thallium-201 stress myocardial scintigraphy for the evaluation of coronary-artery stenosis (author's transl)].. PubMed. 26(8). 773–7. 1 indexed citations

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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