Hui Ge

25 papers and 774 indexed citations i.

About

Hui Ge is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hui Ge has authored 25 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hui Ge’s work include Cardiac Ischemia and Reperfusion (3 papers), Influenza Virus Research Studies (2 papers) and Financing of Health Care Systems and Universal Coverage (2 papers). Hui Ge is often cited by papers focused on Cardiac Ischemia and Reperfusion (3 papers), Influenza Virus Research Studies (2 papers) and Financing of Health Care Systems and Universal Coverage (2 papers). Hui Ge collaborates with scholars based in China, United States and United Kingdom. Hui Ge's co-authors include Dmitry Guschin, Nobuaki Kikyo, Paul A. Wade, Alan P. Wolffe, Lijun Wang, Yu‐Ming Chen, Li Chen, Ling Yang, Margaret Smith and Zhengming Chen and has published in prestigious journals such as Science, Circulation and International Journal of Cancer.

In The Last Decade

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

Fields of papers citing papers by Hui Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui Ge

Since Specialization
Citations

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