Mai Uesugi

17 papers and 1.5k indexed citations i.

About

Mai Uesugi is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Mai Uesugi has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Cell Biology. Recurrent topics in Mai Uesugi’s work include Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic Islet Dysfunction and Regeneration (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Mai Uesugi is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic Islet Dysfunction and Regeneration (2 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Mai Uesugi collaborates with scholars based in Japan and United States. Mai Uesugi's co-authors include Yoshihiko Kotake, Koji Sagane, Takashi Owa, Yoshiharu Mizui, Hajime Shimizu, Masao Iwata, Yuko Mimori‐Kiyosue, Yasushi Ishihama, Yasuyuki Nomura and Masayuki Kaneko and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and FEBS Letters.

In The Last Decade

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

Fields of papers citing papers by Mai Uesugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Uesugi

Since Specialization
Citations

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