Hui Tang

115 papers and 2.4k indexed citations i.

About

Hui Tang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hui Tang has authored 115 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 29 papers in Cancer Research and 27 papers in Genetics. Recurrent topics in Hui Tang’s work include MicroRNA in disease regulation (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Cancer-related molecular mechanisms research (14 papers). Hui Tang is often cited by papers focused on MicroRNA in disease regulation (17 papers), Genetic and phenotypic traits in livestock (16 papers) and Cancer-related molecular mechanisms research (14 papers). Hui Tang collaborates with scholars based in China, United States and Hong Kong. Hui Tang's co-authors include Lilach O. Lerman, Alfonso Eirin, Xiang-Yang Zhu, Darrell W. Brann, Yan Dong, Ruimin Wang, Amir Lerman, Ren‐Cheng Tang, Amrutesh S. Puranik and Surendra Dasari and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Hui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui Tang

Since Specialization
Citations

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