Ge Gao

22 papers and 292 indexed citations i.

About

Ge Gao is a scholar working on Epidemiology, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Ge Gao has authored 22 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 8 papers in Statistics and Probability and 3 papers in Molecular Biology. Recurrent topics in Ge Gao’s work include HIV, Drug Use, Sexual Risk (6 papers), Survey Sampling and Estimation Techniques (6 papers) and Prevention and Treatment of HIV/AIDS Infection (2 papers). Ge Gao is often cited by papers focused on HIV, Drug Use, Sexual Risk (6 papers), Survey Sampling and Estimation Techniques (6 papers) and Prevention and Treatment of HIV/AIDS Infection (2 papers). Ge Gao collaborates with scholars based in China, Taiwan and Venezuela. Ge Gao's co-authors include Yuhua Ruan, Da‐Bing Lu, Dongliang Li, Hui Shi, Qi Xiao, Peng Zhou, Liang Wang, Rui Song, Peipei Liu and Xiaonan Zhou and has published in prestigious journals such as PLoS ONE, Molecular Cancer and Medicine.

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