Kayoko Ikeda

47 total papers · 623 total citations
25 papers, 504 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 504 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 Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Animal Genetics and Reproduction (3 papers). Kayoko Ikeda is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (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, Makoto KAGEYAMA, Yoshikazu Kurosawa, Daisuke Inoue, Toshio Matsumoto, Satoshi Inoue, Hideki Endo, Kuniko Horie‐Inoue and Hitoshi Ichikawa 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 461 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kayoko Ikeda	226	120	68	55	53	25	504
Maria Novotny	289 1.3×	226 1.9×	35 0.5×	32 0.6×	36 0.7×	19	499
Jonathan Ulmer	314 1.4×	126 1.1×	12 0.2×	49 0.9×	87 1.6×	35	579
Muriel Lederman	272 1.2×	238 2.0×	33 0.5×	36 0.7×	20 0.4×	36	608
John M. A. Verbakel	412 1.8×	133 1.1×	49 0.7×	65 1.2×	57 1.1×	19	511
Pushpa M. Bhargava	206 0.9×	68 0.6×	28 0.4×	33 0.6×	16 0.3×	30	489
Perry Meisel	234 1.0×	67 0.6×	47 0.7×	72 1.3×	10 0.2×	23	495
Alan Doyle	208 0.9×	88 0.7×	24 0.4×	51 0.9×	23 0.4×	35	594
Paulo César Gomes	225 1.0×	171 1.4×	7 0.1×	23 0.4×	18 0.3×	38	554
Carole Knibbe	317 1.4×	239 2.0×	80 1.2×	64 1.2×	22 0.4×	22	565
Avelina Espinosa	100 0.4×	47 0.4×	20 0.3×	242 4.4×	7 0.1×	30	564

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

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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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