Song Tan

112 papers and 7.1k indexed citations i.

About

Song Tan is a scholar working on Molecular Biology, Astronomy and Astrophysics and Physiology. According to data from OpenAlex, Song Tan has authored 112 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 12 papers in Astronomy and Astrophysics and 8 papers in Physiology. Recurrent topics in Song Tan’s work include Genomics and Chromatin Dynamics (51 papers), Epigenetics and DNA Methylation (17 papers) and RNA and protein synthesis mechanisms (15 papers). Song Tan is often cited by papers focused on Genomics and Chromatin Dynamics (51 papers), Epigenetics and DNA Methylation (17 papers) and RNA and protein synthesis mechanisms (15 papers). Song Tan collaborates with scholars based in United States, China and Canada. Song Tan's co-authors include Timothy J. Richmond, Robert K. McGinty, William Selleck, Jacques Côté, Yannick Doyon, William S. Lane, Luca Pellegrini, Ravindra D. Makde, Joseph R. England and Ryan C. Henrici and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

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

Fields of papers citing papers by Song Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Tan

Since Specialization
Citations

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