Yu Tai

About

Yu Tai is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yu Tai has authored 65 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Immunology and 10 papers in Oncology. Recurrent topics in Yu Tai’s work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Receptor Mechanisms and Signaling (7 papers). Yu Tai is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Receptor Mechanisms and Signaling (7 papers). Yu Tai collaborates with scholars based in China, United States and Japan. Yu Tai's co-authors include Wei Wei, Qingtong Wang, Chendi Ding, Linghua Tan, Jiajun Fu, Dong Wang, Lingling Zhang, Ji Dai, Ruiqi Shen and Jianbing Xu and has published in prestigious journals such as Nature Communications, Blood and Journal of Applied Physics.

In The Last Decade

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

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Fields of papers citing papers by Yu Tai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Tai

Since Specialization

Citations

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