Akiko Maeda

76 papers and 1.2k indexed citations i.

About

Akiko Maeda is a scholar working on Epidemiology, Molecular Biology and General Health Professions. According to data from OpenAlex, Akiko Maeda has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 11 papers in Molecular Biology and 9 papers in General Health Professions. Recurrent topics in Akiko Maeda’s work include Influenza Virus Research Studies (23 papers), Respiratory viral infections research (16 papers) and Retinal Diseases and Treatments (8 papers). Akiko Maeda is often cited by papers focused on Influenza Virus Research Studies (23 papers), Respiratory viral infections research (16 papers) and Retinal Diseases and Treatments (8 papers). Akiko Maeda collaborates with scholars based in Japan, United States and United Kingdom. Akiko Maeda's co-authors include Richard M. Scheffler, Tim A. Bruckner, Jenny Liu, Yevgeniy Goryakin, James M. Hogle, S.C. Harrison, Kazue Okamoto-Mizuno, Koh Mizuno, Yoshio Hirota and Satoko Ohfuji and has published in prestigious journals such as Journal of Molecular Biology, Scientific Reports and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Akiko Maeda i

Fields of papers citing papers by Akiko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Maeda

Since Specialization
Citations

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