Mai Suzuki

48 papers and 738 indexed citations i.

About

Mai Suzuki is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Mai Suzuki has authored 48 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Mai Suzuki’s work include Trace Elements in Health (4 papers), Cellular transport and secretion (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Mai Suzuki is often cited by papers focused on Trace Elements in Health (4 papers), Cellular transport and secretion (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Mai Suzuki collaborates with scholars based in Japan, United States and Italy. Mai Suzuki's co-authors include Koichi Mitsukura, Tôru Nagasawa, Toyokazu Yoshida, Kazuhiro Tada, Toshio Watanabe, Toshio Watanabe, Taisuke Tomita, Takeshi Iwatsubo, Yuichi Morohashi and Hiromasa Kuroda and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Mai Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Suzuki

Since Specialization
Citations

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