Xing Dai

116 papers and 4.3k indexed citations i.

About

Xing Dai is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xing Dai has authored 116 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 26 papers in Oncology and 16 papers in Immunology. Recurrent topics in Xing Dai’s work include Wnt/β-catenin signaling in development and cancer (23 papers), Cancer Cells and Metastasis (17 papers) and Cancer-related gene regulation (16 papers). Xing Dai is often cited by papers focused on Wnt/β-catenin signaling in development and cancer (23 papers), Cancer Cells and Metastasis (17 papers) and Cancer-related gene regulation (16 papers). Xing Dai collaborates with scholars based in United States, China and Canada. Xing Dai's co-authors include Kazuhide Watanabe, Daniel Haensel, Peng Sun, Qing Nie, Lucia B. Rothman‐Denes, Christina Gianoulakis, Alvaro Villarreal-Ponce, Magid Fallahi, Elaine Fuchs and Bingnan Gu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Xing Dai i

Fields of papers citing papers by Xing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xing Dai

Since Specialization
Citations

This map shows the geographic impact of Xing 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 Xing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing 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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2025