Feng Tang

80 papers and 1.3k indexed citations i.

About

Feng Tang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Feng Tang has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Cancer Research and 18 papers in Immunology. Recurrent topics in Feng Tang’s work include Cancer-related molecular mechanisms research (12 papers), Glioma Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (8 papers). Feng Tang is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Glioma Diagnosis and Treatment (11 papers) and MicroRNA in disease regulation (8 papers). Feng Tang collaborates with scholars based in China, United States and Germany. Feng Tang's co-authors include Tao Xi, Le Guo, Rui Zhang, Meijuan Zou, Yunmian He, Bing Zhao, Erbao Bian, Hongliang Wang, Zhihao Yang and Zhiqiang Li and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

In The Last Decade

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

Fields of papers citing papers by Feng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Tang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025