Mai Okada

22 papers and 593 indexed citations i.

About

Mai Okada is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Mai Okada has authored 22 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Biomedical Engineering and 4 papers in Genetics. Recurrent topics in Mai Okada’s work include 3D Printing in Biomedical Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Structure and Dynamics (3 papers). Mai Okada is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Structure and Dynamics (3 papers). Mai Okada collaborates with scholars based in Japan, United States and Russia. Mai Okada's co-authors include Michio Iwaoka, Shuji Tomoda, Kei Motomura, Takeshi Ikeda, Akio Kuroda, Ryuichi Hirota, Ryuji Kato, Hiroyuki Honda, Takenori Ishida and Kei Kanie and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Mai Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Okada

Since Specialization
Citations

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