Tianyi Tang

15 papers and 1.1k indexed citations i.

About

Tianyi Tang is a scholar working on Molecular Biology, Physiology and Biochemistry. According to data from OpenAlex, Tianyi Tang has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Biochemistry. Recurrent topics in Tianyi Tang’s work include Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Tianyi Tang is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Lipid metabolism and biosynthesis (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Tianyi Tang collaborates with scholars based in United States, China and United Kingdom. Tianyi Tang's co-authors include Hei Sook Sul, Marcia J. Abbott, Maryam Ahmadian, Yuhui Wang, Carolyn S. Hudak, Robin E. Duncan, José A. Viscarra, Matthew D. Bruss, Hui‐Young Lee and Marc K. Hellerstein and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

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

Fields of papers citing papers by Tianyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianyi Tang

Since Specialization
Citations

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