Xin Dai

32 papers and 754 indexed citations i.

About

Xin Dai is a scholar working on Molecular Biology, Accounting and Economics and Econometrics. According to data from OpenAlex, Xin Dai has authored 32 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Accounting and 8 papers in Economics and Econometrics. Recurrent topics in Xin Dai’s work include Corporate Finance and Governance (10 papers), MicroRNA in disease regulation (5 papers) and Corporate Taxation and Avoidance (4 papers). Xin Dai is often cited by papers focused on Corporate Finance and Governance (10 papers), MicroRNA in disease regulation (5 papers) and Corporate Taxation and Avoidance (4 papers). Xin Dai collaborates with scholars based in China, United States and Germany. Xin Dai's co-authors include Huihui Xu, Liming Yu, Xinyu Weng, Yong Xu, Fei Fang, Yong Xu, Mingming Fang, Mingming Fang, Xiaoyan Wu and Qi Chen and has published in prestigious journals such as Nature Communications, Circulation Research and Bioresource Technology.

In The Last Decade

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

Fields of papers citing papers by Xin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Dai

Since Specialization
Citations

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