Mayumi Tsuji

159 papers and 2.0k indexed citations i.

About

Mayumi Tsuji is a scholar working on Molecular Biology, Physiology and Clinical Psychology. According to data from OpenAlex, Mayumi Tsuji has authored 159 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 29 papers in Physiology and 22 papers in Clinical Psychology. Recurrent topics in Mayumi Tsuji’s work include COVID-19 and Mental Health (21 papers), Alzheimer's disease research and treatments (21 papers) and COVID-19 Pandemic Impacts (13 papers). Mayumi Tsuji is often cited by papers focused on COVID-19 and Mental Health (21 papers), Alzheimer's disease research and treatments (21 papers) and COVID-19 Pandemic Impacts (13 papers). Mayumi Tsuji collaborates with scholars based in Japan, United States and Malaysia. Mayumi Tsuji's co-authors include Kenjiro Ono, Katsuji Oguchi, Giulio Maria Pasinetti, Lap Ho, Paolo Mazzola, Yuji Kiuchi, Seiichiro Tateishi, Yoshihisa Fujino, Shinya Matsuda and Tatsunori Oguchi and has published in prestigious journals such as Nano Letters, Scientific Reports and The FASEB Journal.

In The Last Decade

Co-authorship network of co-authors of Mayumi Tsuji i

Fields of papers citing papers by Mayumi Tsuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayumi Tsuji

Since Specialization
Citations

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