Shun Ikeda

20 total papers · 513 total citations
14 papers, 404 citations indexed

About

Shun Ikeda is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Shun Ikeda has authored 14 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Shun Ikeda's work include Cytokine Signaling Pathways and Interactions (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related gene regulation (2 papers). Shun Ikeda is often cited by papers focused on Cytokine Signaling Pathways and Interactions (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer-related gene regulation (2 papers). Shun Ikeda collaborates with scholars based in Japan, United States and Canada. Shun Ikeda's co-authors include Hisashi Koga, Kiyo Shimada, Hideyuki Saya, Toshifumi Yae, Takatsugu Ishimoto, Hidenobu Tanihara, Osamu Nagano, Eri Takahashi, Shin‐ichiro Niwa and Yoshimi Suzuki and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Shun Ikeda

14 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Shun Ikeda 200 80 71 67 63 14 404
Nobuhiro Yamauchi 124 0.6× 31 0.4× 14 0.2× 43 0.6× 23 0.4× 14 395
Colin E. Moore 287 1.4× 81 1.0× 14 0.2× 21 0.3× 13 0.2× 15 476
Keith Killian 203 1.0× 125 1.6× 12 0.2× 5 0.1× 21 0.3× 24 447
Hiroki Mizuno 150 0.8× 63 0.8× 23 0.3× 4 0.1× 23 0.4× 23 372
Jingyao Qiu 227 1.1× 73 0.9× 70 1.0× 30 0.5× 8 400
Karla G. Contreras 253 1.3× 68 0.8× 49 0.7× 14 0.2× 11 397
L Smedshammer 172 0.9× 158 2.0× 23 0.3× 56 0.9× 18 425
Paula Deschamps 327 1.6× 113 1.4× 36 0.5× 14 0.2× 16 468
H. Notbohm 193 1.0× 36 0.5× 67 0.9× 26 0.4× 22 467
J Kishi 133 0.7× 119 1.5× 35 0.5× 19 0.3× 12 475

Countries citing papers authored by Shun Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Shun Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Ikeda. A scholar is included among the top collaborators of Shun 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 Shun Ikeda. Shun 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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