Tao Song

41 papers and 1.1k indexed citations i.

About

Tao Song is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Tao Song has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Tao Song’s work include MicroRNA in disease regulation (21 papers), Circular RNAs in diseases (16 papers) and Cancer-related molecular mechanisms research (16 papers). Tao Song is often cited by papers focused on MicroRNA in disease regulation (21 papers), Circular RNAs in diseases (16 papers) and Cancer-related molecular mechanisms research (16 papers). Tao Song collaborates with scholars based in China, Russia and Hong Kong. Tao Song's co-authors include Weifeng Mao, Cong Li, Jintao Lin, Wei Cai, Chunyang Wang, Yiguang Wu, Zhikui Liu, Qingguang Liu, Ningsheng Shao and Wei Xia and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Fertility and Sterility and Neurobiology of Aging.

In The Last Decade

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

Fields of papers citing papers by Tao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Song

Since Specialization
Citations

This map shows the geographic impact of Tao 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 Tao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao 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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2025