Fang Song

78 papers and 532 indexed citations i.

About

Fang Song is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Fang Song has authored 78 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 31 papers in Genetics and 15 papers in Surgery. Recurrent topics in Fang Song’s work include Neurogenetic and Muscular Disorders Research (30 papers), RNA modifications and cancer (28 papers) and RNA Research and Splicing (13 papers). Fang Song is often cited by papers focused on Neurogenetic and Muscular Disorders Research (30 papers), RNA modifications and cancer (28 papers) and RNA Research and Splicing (13 papers). Fang Song collaborates with scholars based in China, United States and Japan. Fang Song's co-authors include Yuwei Jin, Hong Wang, Hong Wang, Ting Zhang, Xiaoying Zheng, Zhijun Niu, Wenqiang Yang, Yanyu Lü, Wenhui Zhang and Yanyan Cao and has published in prestigious journals such as Chemical Engineering Journal, Small and Human Molecular Genetics.

In The Last Decade

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

Fields of papers citing papers by Fang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Song

Since Specialization
Citations

This map shows the geographic impact of Fang 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 Fang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang 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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2025