Ke Ge

34 papers and 396 indexed citations i.

About

Ke Ge is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ke Ge has authored 34 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Oncology. Recurrent topics in Ke Ge’s work include Extracellular vesicles in disease (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (5 papers). Ke Ge is often cited by papers focused on Extracellular vesicles in disease (6 papers), Liver Disease Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (5 papers). Ke Ge collaborates with scholars based in China. Ke Ge's co-authors include Hanzhang Zhu, Changku Jia, Wencheng Kong, Yuqiang Shan, Jun Lü, Dandan Liang, J.Z. Jiang, X.D. Wang, Jun Lu and Ling Chen and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

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

Fields of papers citing papers by Ke Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ke Ge

Since Specialization
Citations

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