Dan Tang

15 papers and 498 indexed citations i.

About

Dan Tang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Dan Tang has authored 15 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Dan Tang’s work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dan Tang is often cited by papers focused on Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and Cancer-related molecular mechanisms research (4 papers). Dan Tang collaborates with scholars based in China, United States and Italy. Dan Tang's co-authors include Massimo Loda, Antonella Baron, Toshiro Migita, Guosheng Chen, Guochang Huang, Wei‐Hao Sun, Wei Xu, Yun Shao, Xian Xu and Xiaolin Li and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and The Journal of Pathology.

In The Last Decade

Co-authorship network of co-authors of Dan Tang i

Fields of papers citing papers by Dan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Tang

Since Specialization
Citations

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