Song Guo

18 papers and 1.5k indexed citations i.

About

Song Guo is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Song Guo has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Song Guo’s work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (4 papers). Song Guo is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and RNA Research and Splicing (4 papers). Song Guo collaborates with scholars based in China, Germany and Russia. Song Guo's co-authors include Philipp Khaitovich, Yan Zheng, Wei Chen, Mehmet Somel, Svante Pääbo, Ning Fu, Hai Hu, Corinna Menzel, Yuhui Hu and Ying Xu 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 Guo i

Fields of papers citing papers by Song Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Guo

Since Specialization
Citations

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