Kazuyoshi Ikuta

512 total papers · 10.4k total citations
397 papers, 7.9k citations indexed

About

Kazuyoshi Ikuta is a scholar working on Epidemiology, Infectious Diseases and Virology. According to data from OpenAlex, Kazuyoshi Ikuta has authored 397 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Epidemiology, 143 papers in Infectious Diseases and 136 papers in Virology. Recurrent topics in Kazuyoshi Ikuta's work include HIV Research and Treatment (101 papers), Virology and Viral Diseases (73 papers) and Herpesvirus Infections and Treatments (56 papers). Kazuyoshi Ikuta is often cited by papers focused on HIV Research and Treatment (101 papers), Virology and Viral Diseases (73 papers) and Herpesvirus Infections and Treatments (56 papers). Kazuyoshi Ikuta collaborates with scholars based in Japan, Thailand and United States. Kazuyoshi Ikuta's co-authors include Shiro Kato, Keizō Tomonaga, Akikazu Sakudo, Takaaki Nakaya, Kanji Hirai, Y. Watanabe, Madiha S. Ibrahim, Masanori Kameoka, Takeshi Kobayashi and Shigeharu Ueda and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kazuyoshi Ikuta

392 papers receiving 7.7k citations

Author Peers

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

Author Last Decade Papers Cites
Kazuyoshi Ikuta 3.7k 2.6k 1.9k 1.8k 1.2k 397 7.9k
Shigeru Morikawa 2.3k 0.6× 4.6k 1.8× 1.6k 0.9× 1.9k 1.1× 1.8k 1.5× 360 9.8k
Tetsutaro Sata 4.8k 1.3× 3.7k 1.4× 1.8k 0.9× 3.2k 1.7× 2.8k 2.2× 328 12.0k
William T. London 6.1k 1.7× 2.2k 0.9× 887 0.5× 1.4k 0.8× 1.3k 1.0× 212 10.4k
Marc Girard 1.8k 0.5× 3.0k 1.2× 2.7k 1.4× 3.0k 1.7× 1.3k 1.1× 215 8.2k
Feng Li 2.5k 0.7× 1.8k 0.7× 1.0k 0.5× 1.5k 0.8× 872 0.7× 237 6.1k
Zhen F. Fu 1.9k 0.5× 2.9k 1.1× 2.7k 1.4× 1.7k 1.0× 957 0.8× 216 7.3k
Hans Lutz 2.9k 0.8× 3.6k 1.4× 2.0k 1.1× 1.2k 0.6× 1.4k 1.2× 252 10.8k
Donald F. Smee 4.4k 1.2× 3.7k 1.4× 1.2k 0.6× 2.3k 1.3× 1.5k 1.2× 216 9.4k
Peter M. H. Heegaard 2.0k 0.5× 2.5k 1.0× 981 0.5× 2.2k 1.2× 1.3k 1.0× 295 9.8k
Nigel J. Dimmock 2.6k 0.7× 1.6k 0.6× 701 0.4× 1.4k 0.7× 1.3k 1.0× 171 5.2k

Countries citing papers authored by Kazuyoshi Ikuta

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyoshi Ikuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuyoshi Ikuta

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyoshi Ikuta. A scholar is included among the top collaborators of Kazuyoshi Ikuta 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 Kazuyoshi Ikuta. Kazuyoshi Ikuta 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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2026