Le Tang

14 papers and 213 indexed citations i.

About

Le Tang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Le Tang has authored 14 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Le Tang’s work include Immune cells in cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Cells and Metastasis (2 papers). Le Tang is often cited by papers focused on Immune cells in cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer Cells and Metastasis (2 papers). Le Tang collaborates with scholars based in China, United States and Austria. Le Tang's co-authors include Gary Rackliffe, Xiaoming Feng, Min Tang, Huamin Wang, Ruofeng Tong, Dinesh Manocha, Lin Li, Yuankai Shi, Xiaohong Han and Yilu Liu and has published in prestigious journals such as Journal of Ethnopharmacology, Cell Death and Disease and Journal of Translational Medicine.

In The Last Decade

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

Fields of papers citing papers by Le Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Tang

Since Specialization
Citations

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