Ge Song

16 papers and 650 indexed citations i.

About

Ge Song is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Ge Song has authored 16 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Rheumatology and 4 papers in Cancer Research. Recurrent topics in Ge Song’s work include Folate and B Vitamins Research (5 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (3 papers). Ge Song is often cited by papers focused on Folate and B Vitamins Research (5 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (3 papers). Ge Song collaborates with scholars based in China, United States and Pakistan. Ge Song's co-authors include Xuebo Liu, Yi Cui, Zhigang Liu, Xu Ma, Hong‐Fei Xia, Yi Hu, Hong-Fei Xia, Gongguan Liu, Di Zhu and Qian Liu and has published in prestigious journals such as Food Chemistry, Free Radical Biology and Medicine and American Journal of Obstetrics and Gynecology.

In The Last Decade

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

Fields of papers citing papers by Ge Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Song

Since Specialization
Citations

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