Hua Ge

57 papers and 1.0k indexed citations i.

About

Hua Ge is a scholar working on Molecular Biology, Cancer Research and General Health Professions. According to data from OpenAlex, Hua Ge has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Cancer Research and 11 papers in General Health Professions. Recurrent topics in Hua Ge’s work include Cancer-related molecular mechanisms research (12 papers), Workplace Health and Well-being (11 papers) and Circular RNAs in diseases (8 papers). Hua Ge is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), Workplace Health and Well-being (11 papers) and Circular RNAs in diseases (8 papers). Hua Ge collaborates with scholars based in China, United States and United Kingdom. Hua Ge's co-authors include Jiwen Liu, Chaojie Liang, Jixiang Wu, Xiaoyan Gao, Ning Li, Bo Liu, Junling Zhao, Rong Li, Yingchen Xu and Yulong Lian and has published in prestigious journals such as PLoS ONE, Diabetes Care and Journal of Cellular Physiology.

In The Last Decade

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

Fields of papers citing papers by Hua Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Ge

Since Specialization
Citations

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