Alan K. Ikeda

48 total papers · 1.2k total citations
20 papers, 610 citations indexed

About

Alan K. Ikeda is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Alan K. Ikeda has authored 20 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Hematology and 6 papers in Genetics. Recurrent topics in Alan K. Ikeda's work include Ubiquitin and proteasome pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Blood groups and transfusion (4 papers). Alan K. Ikeda is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Blood groups and transfusion (4 papers). Alan K. Ikeda collaborates with scholars based in United States, Poland and Germany. Alan K. Ikeda's co-authors include Kathleen M. Sakamoto, Tiffany Simms-Waldrip, Tara L. Lin, Agustı́n Rodrı́guez-González, Cecilia Fu, Theodore B. Moore, Bryan Mitton, Bingxin Li, Xiangshu Xiao and Elliot M. Landaw and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Alan K. Ikeda

18 papers receiving 604 citations

Author Peers

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

Author Last Decade Papers Cites
Alan K. Ikeda 395 155 120 99 82 20 610
M Allouche 303 0.8× 143 0.9× 125 1.0× 67 0.7× 48 0.6× 25 583
I Ohkubo 291 0.7× 77 0.5× 92 0.8× 97 1.0× 88 1.1× 20 643
Sean F. Landrette 436 1.1× 191 1.2× 107 0.9× 62 0.6× 54 0.7× 18 657
Eliza Vakana 497 1.3× 164 1.1× 99 0.8× 115 1.2× 123 1.5× 14 642
Isha Kapoor 373 0.9× 84 0.5× 141 1.2× 106 1.1× 36 0.4× 25 561
Zhihong Zeng 466 1.2× 202 1.3× 108 0.9× 119 1.2× 42 0.5× 13 647
Kathryn Rizzo 370 0.9× 80 0.5× 97 0.8× 64 0.6× 62 0.8× 15 569
Kerstin Maria Kampa-Schittenhelm 283 0.7× 155 1.0× 171 1.4× 80 0.8× 32 0.4× 30 516
Yuanying Gong 339 0.9× 99 0.6× 85 0.7× 55 0.6× 31 0.4× 16 516
Luigina Tagliavacca 355 0.9× 261 1.7× 78 0.7× 67 0.7× 60 0.7× 17 612

Countries citing papers authored by Alan K. Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Alan K. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan K. Ikeda

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