Kayoko Ikeda

627 total citations
25 papers, 506 citations indexed

About

Kayoko Ikeda is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kayoko Ikeda has authored 25 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kayoko Ikeda's work include Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Animal Genetics and Reproduction (3 papers). Kayoko Ikeda is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Animal Genetics and Reproduction (3 papers). Kayoko Ikeda collaborates with scholars based in Japan, India and China. Kayoko Ikeda's co-authors include Fujio Egami, Kazutoshi Nakamura, Yoshikazu Kurosawa, Makoto KAGEYAMA, Toshio Matsumoto, Daisuke Inoue, Tomohiko Urano, William Wishart, Hideki Endo and Satoshi Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Kayoko Ikeda

24 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayoko Ikeda Japan 13 226 120 68 55 54 25 506
Francisco Crespo Spain 16 111 0.5× 219 1.8× 12 0.2× 49 0.9× 101 1.9× 70 985
Tim K. Roberts Australia 13 184 0.8× 68 0.6× 40 0.6× 19 0.3× 66 1.2× 23 427
Muriel Lederman United States 17 272 1.2× 238 2.0× 33 0.5× 36 0.7× 20 0.4× 36 609
Jonathan Ulmer United States 9 315 1.4× 126 1.1× 12 0.2× 50 0.9× 87 1.6× 35 583
Alan Doyle United Kingdom 15 208 0.9× 88 0.7× 24 0.4× 51 0.9× 23 0.4× 35 594
Yanju Zhang China 17 833 3.7× 190 1.6× 76 1.1× 47 0.9× 15 0.3× 24 1.2k
Josef Kraus Czechia 10 401 1.8× 51 0.4× 45 0.7× 50 0.9× 248 4.6× 53 769
Paulo César Gomes Brazil 15 225 1.0× 170 1.4× 7 0.1× 23 0.4× 18 0.3× 37 554
Betty Thompson United States 10 276 1.2× 87 0.7× 54 0.8× 24 0.4× 3 0.1× 20 480
Lina Amlinger Sweden 3 435 1.9× 90 0.8× 83 1.2× 69 1.3× 25 0.5× 4 537

Countries citing papers authored by Kayoko Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Kayoko Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayoko Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Ikeda. A scholar is included among the top collaborators of Kayoko Ikeda 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 Kayoko Ikeda. Kayoko Ikeda 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
1.
Ikeda, Kayoko & Kazutoshi Nakamura. (2013). Association between mobile phone use and depressed mood in Japanese adolescents: a cross-sectional study. Environmental Health and Preventive Medicine. 19(3). 187–193. 61 indexed citations
2.
Endo, Hideki, Kayoko Ikeda, Tomohiko Urano, Kuniko Horie‐Inoue, & Satoshi Inoue. (2011). Terf/TRIM17 stimulates degradation of kinetochore protein ZWINT and regulates cell proliferation. The Journal of Biochemistry. 151(2). 139–144. 48 indexed citations
3.
Ikeda, Kayoko, et al.. (2011). The Relationship between Chromosomal Positioning within the Nucleus and theSSD1Gene inSaccharomyces cerevisiae. Bioscience Biotechnology and Biochemistry. 75(9). 1713–1721. 2 indexed citations
4.
Ikeda, Kayoko. (2005). Trends toward universal design in Japan. 41(1). 31–37. 4 indexed citations
5.
Ikeda, Kayoko, et al.. (2004). Regulatory function of whey acidic protein in the proliferation of mouse mammary epithelial cells in vivo and in vitro. Developmental Biology. 274(1). 31–44. 25 indexed citations
6.
Ikeda, Kayoko, et al.. (2004). Inhibitory Function of Whey Acidic Protein in the Cell-Cycle Progression of Mouse Mammary Epithelial Cells (EpH4/K6 Cells). Journal of Reproduction and Development. 50(1). 87–96. 12 indexed citations
7.
Ikeda, Kayoko, Minoru Kato, Keitaro Yamanouchi, Kunihiko Naito, & Hideaki Tojo. (2002). Novel Development of Mammary Glands in the Nursing Transgenic Mouse Ubiquitously Expressing WAP Gene. EXPERIMENTAL ANIMALS. 51(4). 395–399. 9 indexed citations
8.
Wakiyama, Motoaki, et al.. (2001). Translational Regulation of the mRNA Encoding the Eukaryotic Translation Initiation Factor 4E in Xenopus. Bioscience Biotechnology and Biochemistry. 65(1). 229–231. 3 indexed citations
9.
Ikeda, Kayoko, Masaaki Suzuki, Motoyoshi Ikebuchi, et al.. (1995). Hyperbetalipoproteinemia with small low-density lipoprotein, a characteristic disorder of lipoprotein in essential hypertension. Journal of Diabetes and its Complications. 9(4). 227–229. 7 indexed citations
10.
Teramoto, Tsukasa, Kazue Endo, Kayoko Ikeda, et al.. (1995). Binding of Vitamin D to Low-Density Lipoprotein (LDL) and LDL Receptor-Mediated Pathway into Cells. Biochemical and Biophysical Research Communications. 215(1). 199–204. 18 indexed citations
11.
Yokota, Chiaki, Motoyoshi Ikebuchi, Masaaki Suzuki, et al.. (1995). Insulin Resistance Rather than Hyperinsulinemia More Closely Associated with Essential Hypertension. Clinical and Experimental Hypertension. 17(3). 523–536. 9 indexed citations
12.
Nakao, Yasuhiko, Kayoko Ikeda, Akira Satou, et al.. (1993). Quantitative and Qualitative Alterations of Plasma Lipoproteins in Obesity. Folia Endocrinologica Japonica. 69(7). 670–680. 2 indexed citations
13.
14.
Ichikawa, Hitoshi, Kayoko Ikeda, William Wishart, & Eiichi Ohtsubo. (1987). Specific binding of transposase to terminal inverted repeats of transposable element Tn3.. Proceedings of the National Academy of Sciences. 84(23). 8220–8224. 39 indexed citations
15.
Konishi, Yôtarô, et al.. (1985). Isolation and characterization of globulin from seeds of Amaranthus hypochondriacus L.. Agricultural and Biological Chemistry. 49(5). 1453–1459. 43 indexed citations
16.
Kurosawa, Yoshikazu, Kayoko Ikeda, & Fujio Egami. (1973). DESTRUCTION OF THE RECEPTOR SUBSTANCE FOR PYOCIN R BY A LIVER EXTRACT OF TURBO GORNUTUS. The Journal of General and Applied Microbiology. 19(5). 375–383.
17.
Yamada, Masao, Kayoko Ikeda, & Fujio Egami. (1973). Further studies on glycosidases from the liver of Turbo cornutus with special reference to -galactosidase, -L-arabinosidase, and -D-fucosidase activities.. PubMed. 73(1). 69–76. 5 indexed citations
18.
Ikeda, Kayoko & Fujio Egami. (1969). Receptor Substance for Pyocin R. The Journal of Biochemistry. 65(4). 603–609. 24 indexed citations
19.
Ikeda, Kayoko. (1967). Inhibition of Pyocin R Formation by Fluorophenylalanine*. The Journal of Biochemistry. 61(5). 615–622. 3 indexed citations
20.
Ikeda, Kayoko, Hiromi Yamada, & Shôzô Tanaka. (1963). Bacterial Degradation of Taurine*. The Journal of Biochemistry. 54(4). 312–316. 20 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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