Joseph Song

21 papers and 744 indexed citations i.

About

Joseph Song is a scholar working on Economics and Econometrics, Molecular Biology and Surgery. According to data from OpenAlex, Joseph Song has authored 21 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 6 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Joseph Song’s work include Labor market dynamics and wage inequality (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cellular transport and secretion (4 papers). Joseph Song is often cited by papers focused on Labor market dynamics and wage inequality (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cellular transport and secretion (4 papers). Joseph Song collaborates with scholars based in United States, United Kingdom and Australia. Joseph Song's co-authors include Ayşegül Şahin, Kirill A. Martemyanov, Giovanni L. Violante, Gabriela Topa, Mihwa Kim, H. Thomas Lee, Robert W. Rich, Joseph Tracy, Garret R. Anderson and Sean W. C. Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and American Economic Review.

In The Last Decade

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

Fields of papers citing papers by Joseph Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joseph Song

Since Specialization
Citations

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