Song Feng

37 papers and 476 indexed citations i.

About

Song Feng is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Song Feng has authored 37 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Surgery. Recurrent topics in Song Feng’s work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (6 papers) and Metabolic Engineering and Synthetic Biology (5 papers). Song Feng is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (6 papers) and Metabolic Engineering and Synthetic Biology (5 papers). Song Feng collaborates with scholars based in United States, China and United Kingdom. Song Feng's co-authors include Orkun S. Soyer, Matteo Cavaliere, José I. Jiménez, Ronald J. Moore, Gérémy Clair, Ying Zhu, Chia‐Feng Tsai, Jongmin Jacob Woo, Sarah Williams and Richard Smith and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Song Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Feng

Since Specialization
Citations

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