Mai Ito

30 papers and 390 indexed citations i.

About

Mai Ito is a scholar working on Civil and Structural Engineering, Molecular Biology and Genetics. According to data from OpenAlex, Mai Ito has authored 30 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Civil and Structural Engineering, 7 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Mai Ito’s work include Seismic Performance and Analysis (6 papers), Vibration Control and Rheological Fluids (6 papers) and Structural Engineering and Vibration Analysis (3 papers). Mai Ito is often cited by papers focused on Seismic Performance and Analysis (6 papers), Vibration Control and Rheological Fluids (6 papers) and Structural Engineering and Vibration Analysis (3 papers). Mai Ito collaborates with scholars based in Japan, United States and United Kingdom. Mai Ito's co-authors include Shuji Fujita, Ken-ichi Inada, Yoshihito Ueno, Hideo Iba, Kouhei Sakurai, Takafumi Nakamura, Hajime Kurosaki, Kazuya Shiogama, Takeshi Haraguchi and Aya Ogata and has published in prestigious journals such as Circulation Research, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Mai Ito i

Fields of papers citing papers by Mai Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Ito

Since Specialization
Citations

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