Ge Gao

21 papers and 664 indexed citations i.

About

Ge Gao is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Ge Gao has authored 21 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 9 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Ge Gao’s work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (4 papers). Ge Gao is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (9 papers) and Circular RNAs in diseases (4 papers). Ge Gao collaborates with scholars based in China, United States and United Kingdom. Ge Gao's co-authors include Yingli Cao, Ting Shi, Yang Xiang, Yuanzhe Wu, Chen‐Yu Zhang, Xiaowei Wang, Qin Zhang, Qin Zhang, Jingqin Luo and Rebecca D. Chernock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Ge Gao i

Fields of papers citing papers by Ge Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Gao

Since Specialization
Citations

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