Lin Tang

22 papers and 771 indexed citations i.

About

Lin Tang is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Lin Tang has authored 22 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Epidemiology. Recurrent topics in Lin Tang’s work include Adipose Tissue and Metabolism (5 papers), Bone Metabolism and Diseases (3 papers) and Muscle Physiology and Disorders (3 papers). Lin Tang is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Bone Metabolism and Diseases (3 papers) and Muscle Physiology and Disorders (3 papers). Lin Tang collaborates with scholars based in China, United States and South Korea. Lin Tang's co-authors include Yongming Li, Lin Zhu, Debasis Bagchi, S.J. Stohs, Manashi Bagchi, Ezdihar A. Hassoun, Minh Xuan Tran, Yi Kang, Jiang Chen and Xiaoyu Zhang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

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

Fields of papers citing papers by Lin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lin Tang

Since Specialization
Citations

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