Tomomi Maeda

20 papers and 590 indexed citations i.

About

Tomomi Maeda is a scholar working on Surgery, Molecular Biology and Physiology. According to data from OpenAlex, Tomomi Maeda has authored 20 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Tomomi Maeda’s work include Cholesterol and Lipid Metabolism (3 papers), Pancreatic Islet Dysfunction and Regeneration (2 papers) and Nutrition and Health in Aging (2 papers). Tomomi Maeda is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Pancreatic Islet Dysfunction and Regeneration (2 papers) and Nutrition and Health in Aging (2 papers). Tomomi Maeda collaborates with scholars based in Japan, United States and South Korea. Tomomi Maeda's co-authors include Tamio Teramoto, Hidehiko Kobayashi, Ikuo Yanase, Kazuo Fujita, Yusuke Hori, Akira Honda, Makoto Kinoshita, Tadashi Ikegami, Teruo Miyazaki and Yoshifumi Saito and has published in prestigious journals such as The Journal of Cell Biology, Brain Research and Chemical Engineering Journal.

In The Last Decade

Co-authorship network of co-authors of Tomomi Maeda i

Fields of papers citing papers by Tomomi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomomi Maeda

Since Specialization
Citations

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