Mai Tsuda

30 papers and 445 indexed citations i.

About

Mai Tsuda is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mai Tsuda has authored 30 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 18 papers in Molecular Biology and 7 papers in Genetics. Recurrent topics in Mai Tsuda’s work include Plant tissue culture and regeneration (10 papers), CRISPR and Genetic Engineering (9 papers) and Soybean genetics and cultivation (7 papers). Mai Tsuda is often cited by papers focused on Plant tissue culture and regeneration (10 papers), CRISPR and Genetic Engineering (9 papers) and Soybean genetics and cultivation (7 papers). Mai Tsuda collaborates with scholars based in Japan, United States and Spain. Mai Tsuda's co-authors include Yutaka Tabei, Ken-ichi Konagaya, Ayako Okuzaki, Ryo Ohsawa, Yoshihiko Nanasato, Yuichi Takeuchi, Masaaki Yoshikawa, Kazuo Watanabe, Sugihiro Ando and Akito Kaga and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Plant Science.

In The Last Decade

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

Fields of papers citing papers by Mai Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Tsuda

Since Specialization
Citations

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