Gang Tu

38 papers and 1.4k indexed citations i.

About

Gang Tu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gang Tu has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Cancer Research and 16 papers in Oncology. Recurrent topics in Gang Tu’s work include Cancer-related molecular mechanisms research (10 papers), Estrogen and related hormone effects (8 papers) and RNA modifications and cancer (6 papers). Gang Tu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Estrogen and related hormone effects (8 papers) and RNA modifications and cancer (6 papers). Gang Tu collaborates with scholars based in China, United States and Thailand. Gang Tu's co-authors include Manran Liu, Haojun Luo, Guanglun Yang, Yixuan Hou, Zhimin Liu, Xi Tang, Tenghua Yu, Siyang Wen, Yan-e Du and Xueying Wan and has published in prestigious journals such as Oncogene, The FASEB Journal and Stem Cells.

In The Last Decade

Co-authorship network of co-authors of Gang Tu i

Fields of papers citing papers by Gang Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Tu

Since Specialization
Citations

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