Yang Dai

144 papers and 3.9k indexed citations i.

About

Yang Dai is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Yang Dai has authored 144 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 27 papers in Immunology and 19 papers in Genetics. Recurrent topics in Yang Dai’s work include Gut microbiota and health (16 papers), Immune Cell Function and Interaction (15 papers) and Gene expression and cancer classification (14 papers). Yang Dai is often cited by papers focused on Gut microbiota and health (16 papers), Immune Cell Function and Interaction (15 papers) and Gene expression and cancer classification (14 papers). Yang Dai collaborates with scholars based in United States, Japan and China. Yang Dai's co-authors include Peter E. Larsen, Zhengdeng Lei, Xiaofeng Zhou, F. Collart, George Carayanniotis, Christopher Liddle, Ruth T. Yu, M. Jubayer Rahman, Michael Downes and Ronald M. Evans 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 Yang Dai i

Fields of papers citing papers by Yang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Dai

Since Specialization
Citations

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