Wei Ge

291 papers and 7.6k indexed citations i.

About

Wei Ge is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Wei Ge has authored 291 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 44 papers in Cancer Research and 37 papers in Immunology. Recurrent topics in Wei Ge’s work include Reproductive Biology and Fertility (26 papers), Pluripotent Stem Cells Research (23 papers) and Cancer-related molecular mechanisms research (19 papers). Wei Ge is often cited by papers focused on Reproductive Biology and Fertility (26 papers), Pluripotent Stem Cells Research (23 papers) and Cancer-related molecular mechanisms research (19 papers). Wei Ge collaborates with scholars based in China, United States and Italy. Wei Ge's co-authors include Chao Chai, Jun Ren, Wei Shen, Ximing Xu, Dedong Cao, Shengguo You, Wei Shen, Huilin Xu, Qin Han and Lianming Liao and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Circulation.

In The Last Decade

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

Fields of papers citing papers by Wei Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Ge

Since Specialization
Citations

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