Ming Ge

95 papers and 1.6k indexed citations i.

About

Ming Ge is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Ming Ge has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Neurology and 14 papers in Genetics. Recurrent topics in Ming Ge’s work include Glioma Diagnosis and Treatment (14 papers), Heavy Metal Exposure and Toxicity (7 papers) and Paleontology and Stratigraphy of Fossils (6 papers). Ming Ge is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Heavy Metal Exposure and Toxicity (7 papers) and Paleontology and Stratigraphy of Fossils (6 papers). Ming Ge collaborates with scholars based in China, United States and Japan. Ming Ge's co-authors include Xiang-Hua Meng, Maurice E. Tucker, Jianguo Zhang, Ruili Zhang, Hiroshi Ueda, Kai Zhang, Hiroshi Takagi, Fangang Meng, Weiqian Zhang and Zhigang Zhang and has published in prestigious journals such as The Lancet, PLoS ONE and The Science of The Total Environment.

In The Last Decade

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

Fields of papers citing papers by Ming Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ming Ge

Since Specialization
Citations

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