Mayu Ikeda

3 papers and 252 indexed citations i.

About

Mayu Ikeda is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mayu Ikeda has authored 3 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Public Health, Environmental and Occupational Health and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mayu Ikeda’s work include COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (1 paper) and Long-Term Effects of COVID-19 (1 paper). Mayu Ikeda is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (1 paper) and Long-Term Effects of COVID-19 (1 paper). Mayu Ikeda collaborates with scholars based in Japan. Mayu Ikeda's co-authors include Sakiko Tabata, Kazuo Imai, Kazuyasu Miyoshi, Kaku Tamura, Toshimitsu Ito, Manabu Kitagaki, Shuichi Kawano, Tsutomu Kodera, Yasuhide Uwabe and Satoshi Mimura and has published in prestigious journals such as The Lancet Infectious Diseases, Journal of Clinical Virology and SSRN Electronic Journal.

In The Last Decade

Co-authorship network of co-authors of Mayu Ikeda i

Fields of papers citing papers by Mayu Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayu Ikeda

Since Specialization
Citations

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

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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2025