Mai Dao

91 papers and 1.2k indexed citations i.

About

Mai Dao is a scholar working on Accounting, Economics and Econometrics and Finance. According to data from OpenAlex, Mai Dao has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Accounting, 35 papers in Economics and Econometrics and 19 papers in Finance. Recurrent topics in Mai Dao’s work include Corporate Finance and Governance (39 papers), Auditing, Earnings Management, Governance (30 papers) and Economic Growth and Productivity (10 papers). Mai Dao is often cited by papers focused on Corporate Finance and Governance (39 papers), Auditing, Earnings Management, Governance (30 papers) and Economic Growth and Productivity (10 papers). Mai Dao collaborates with scholars based in United States, Taiwan and China. Mai Dao's co-authors include Hongkang Xu, K. Raghunandan, P.G.M.C. Vergauwen, Alexander Brüggen, Jia Wu, Prakash Loungani, Dasaratha V. Rama, Zsóka Kóczán, Mitali Das and Hua‐Wei Huang and has published in prestigious journals such as The Review of Economics and Statistics, Journal of Monetary Economics and The Accounting Review.

In The Last Decade

Co-authorship network of co-authors of Mai Dao i

Fields of papers citing papers by Mai Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Dao

Since Specialization
Citations

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