Masaki Ueno

180 papers and 5.2k indexed citations i.

About

Masaki Ueno is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Masaki Ueno has authored 180 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 33 papers in Surgery and 23 papers in Physiology. Recurrent topics in Masaki Ueno’s work include Barrier Structure and Function Studies (17 papers), Neonatal and fetal brain pathology (16 papers) and Alzheimer's disease research and treatments (11 papers). Masaki Ueno is often cited by papers focused on Barrier Structure and Function Studies (17 papers), Neonatal and fetal brain pathology (16 papers) and Alzheimer's disease research and treatments (11 papers). Masaki Ueno collaborates with scholars based in Japan, United States and China. Masaki Ueno's co-authors include K. Takemura, Osamu Shimomura, Akifumi Onodera, Minoru Yoshida, Haruhiko Sakamoto, Yoichi Chiba, Cheng‐long Huang, Ichiro Akiguchi, Nobuhiro Maekawa and Masaaki Ueki and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Co-authorship network of co-authors of Masaki Ueno i

Fields of papers citing papers by Masaki Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masaki Ueno

Since Specialization
Citations

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