Fan Tang

30 papers and 910 indexed citations i.

About

Fan Tang is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Fan Tang has authored 30 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Fan Tang’s work include Diabetes Treatment and Management (3 papers), RNA modifications and cancer (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Fan Tang is often cited by papers focused on Diabetes Treatment and Management (3 papers), RNA modifications and cancer (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Fan Tang collaborates with scholars based in China, Macao and Hong Kong. Fan Tang's co-authors include Simon Ming‐Yuen Lee, F. W. Sosulski, Maggie Pui Man Hoi, Jianxiang Zhang, Ruibing Wang, Gao Cheng, Yu Feng, Chuwen Li, Jihong Yao and Zhecheng Wang and has published in prestigious journals such as Nature Communications, Journal of Agricultural and Food Chemistry and Nanoscale.

In The Last Decade

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

Fields of papers citing papers by Fan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fan Tang

Since Specialization
Citations

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