Mai Sakai

33 papers and 431 indexed citations i.

About

Mai Sakai is a scholar working on Molecular Biology, Neurology and Biological Psychiatry. According to data from OpenAlex, Mai Sakai has authored 33 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Neurology and 7 papers in Biological Psychiatry. Recurrent topics in Mai Sakai’s work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Tryptophan and brain disorders (7 papers) and Stress Responses and Cortisol (5 papers). Mai Sakai is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Tryptophan and brain disorders (7 papers) and Stress Responses and Cortisol (5 papers). Mai Sakai collaborates with scholars based in Japan, Germany and Canada. Mai Sakai's co-authors include Hiroaki Tomita, Yuta Takahashi, Zhiqian Yu, Seii Ohka, Hiroko Igarashi, Akio Nomoto, Miharu Nakanishi, Zhiqian Yu, Chiaki Ono and Hitomi Okubo and has published in prestigious journals such as Journal of Virology, International Journal of Molecular Sciences and European Journal of Neuroscience.

In The Last Decade

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

Fields of papers citing papers by Mai Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Sakai

Since Specialization
Citations

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