Xiaoming Dai

36 papers and 1.3k indexed citations i.

About

Xiaoming Dai is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Xiaoming Dai has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Xiaoming Dai’s work include Cancer-related molecular mechanisms research (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Xiaoming Dai is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Hippo pathway signaling and YAP/TAZ (5 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Xiaoming Dai collaborates with scholars based in China, United States and Hong Kong. Xiaoming Dai's co-authors include Wenyi Wei, Bin Zhao, Xiaocan Guo, Huan Yan, Li Li, Xin‐Hua Feng, Xinyan Ji, Yang Gao, Jianping Guo and Shuying Shen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Xiaoming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaoming Dai

Since Specialization
Citations

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