Yuji Tai

18 papers and 501 indexed citations i.

About

Yuji Tai is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yuji Tai has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Yuji Tai’s work include Cancer-related Molecular Pathways (7 papers), S100 Proteins and Annexins (5 papers) and RNA modifications and cancer (3 papers). Yuji Tai is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), S100 Proteins and Annexins (5 papers) and RNA modifications and cancer (3 papers). Yuji Tai collaborates with scholars based in Japan and United States. Yuji Tai's co-authors include Masaaki Tokuda, Katsuyoshi Sugimoto, Li Sui, Youyi Dong, Masayuki Ohno, Tamotsu Hando, Ryoji Konishi, Yasuo Watanabe, Tsutomu Masaki and Toshifumi Itano and has published in prestigious journals such as Hepatology, Cancer and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Yuji Tai i

Fields of papers citing papers by Yuji Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuji Tai

Since Specialization
Citations

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