Song Ma

24 papers and 878 indexed citations i.

About

Song Ma is a scholar working on Accounting, Economics and Econometrics and Finance. According to data from OpenAlex, Song Ma has authored 24 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Accounting, 10 papers in Economics and Econometrics and 5 papers in Finance. Recurrent topics in Song Ma’s work include Corporate Finance and Governance (10 papers), Private Equity and Venture Capital (8 papers) and Firm Innovation and Growth (6 papers). Song Ma is often cited by papers focused on Corporate Finance and Governance (10 papers), Private Equity and Venture Capital (8 papers) and Firm Innovation and Growth (6 papers). Song Ma collaborates with scholars based in United States, Canada and United Kingdom. Song Ma's co-authors include Alon Brav, Wei Jiang, Xuan Tian, Florian Ederer, Colleen Cunningham, Manuel Adelino, David T. Robinson, Justin Murfin, Wei Wang and Allen H. Hu and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Journal of Political Economy.

In The Last Decade

Co-authorship network of co-authors of Song Ma i

Fields of papers citing papers by Song Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Ma

Since Specialization
Citations

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