Tomonori Unno

57 papers and 2.0k indexed citations i.

About

Tomonori Unno is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Biochemistry. According to data from OpenAlex, Tomonori Unno has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 24 papers in Pathology and Forensic Medicine and 17 papers in Biochemistry. Recurrent topics in Tomonori Unno’s work include Tea Polyphenols and Effects (24 papers), Phytochemicals and Antioxidant Activities (17 papers) and Ion channel regulation and function (16 papers). Tomonori Unno is often cited by papers focused on Tea Polyphenols and Effects (24 papers), Phytochemicals and Antioxidant Activities (17 papers) and Ion channel regulation and function (16 papers). Tomonori Unno collaborates with scholars based in Japan, India and United States. Tomonori Unno's co-authors include Takami Kakuda, S. Komori, Tadakazu TAKEO, Ayumu Nozawa, Yuko Suzuki, Hidenori Ohashi, Akio SUGIMOTO, Kazuo Kondo, Yuko M. Sagesaka and Hiroshige Itakura and has published in prestigious journals such as The Journal of Physiology, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Co-authorship network of co-authors of Tomonori Unno i

Fields of papers citing papers by Tomonori Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tomonori Unno

Since Specialization
Citations

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