Maki Ukai‐Tadenuma

22 papers and 1.8k indexed citations i.

About

Maki Ukai‐Tadenuma is a scholar working on Endocrine and Autonomic Systems, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Maki Ukai‐Tadenuma has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrine and Autonomic Systems, 7 papers in Plant Science and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Maki Ukai‐Tadenuma’s work include Circadian rhythm and melatonin (13 papers), Light effects on plants (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Maki Ukai‐Tadenuma is often cited by papers focused on Circadian rhythm and melatonin (13 papers), Light effects on plants (6 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Maki Ukai‐Tadenuma collaborates with scholars based in Japan, United States and Australia. Maki Ukai‐Tadenuma's co-authors include Hiroki R. Ueda, Dimitri Perrin, Hideki Ukai, Rikuhiro G. Yamada, Takeya Kasukawa, Etsuo A. Susaki, Kazuki Tainaka, Toshinori Nakayama, Masakatsu Yamashita and Motoko Y. Kimura and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Maki Ukai‐Tadenuma i

Fields of papers citing papers by Maki Ukai‐Tadenuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maki Ukai‐Tadenuma. 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 Maki Ukai‐Tadenuma. The network helps show where Maki Ukai‐Tadenuma may publish in the future.

Countries citing papers authored by Maki Ukai‐Tadenuma

Since Specialization
Citations

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