Song Ge

130 papers and 6.0k indexed citations i.

About

Song Ge is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Song Ge has authored 130 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 73 papers in Molecular Biology and 71 papers in Genetics. Recurrent topics in Song Ge’s work include Genomics and Phylogenetic Studies (48 papers), Genetic diversity and population structure (42 papers) and Genetic Mapping and Diversity in Plants and Animals (39 papers). Song Ge is often cited by papers focused on Genomics and Phylogenetic Studies (48 papers), Genetic diversity and population structure (42 papers) and Genetic Mapping and Diversity in Plants and Animals (39 papers). Song Ge collaborates with scholars based in China, United States and Spain. Song Ge's co-authors include Tao Sang, Hong De‐Yuan, Qihui Zhu, Jingchu Luo, Jordi López‐Pujol, Bao‐Rong Lu, Xiaoming Zheng, Fu‐Min Zhang, Zhiqiang Wu and Hai‐Qin Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Song Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Ge

Since Specialization
Citations

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