U Mami

9 papers and 297 indexed citations i.

About

U Mami is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, U Mami has authored 9 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in U Mami’s work include Cell death mechanisms and regulation (2 papers), Neuroscience and Neuropharmacology Research (1 paper) and Estrogen and related hormone effects (1 paper). U Mami is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Neuroscience and Neuropharmacology Research (1 paper) and Estrogen and related hormone effects (1 paper). U Mami collaborates with scholars based in Japan, United States and China. U Mami's co-authors include Masao Yamada, Yoshiaki Shikama, Toshiyuki Miyashita, Tomomi Shimogori, Satomi Kikuchi, Aya Yoshida, Masaharu Ogawa, Masao Yamada, Tadahilo Oshida and Ning Lu Yoshida and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of U Mami i

Fields of papers citing papers by U Mami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U Mami

Since Specialization
Citations

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