Da Song

34 papers and 617 indexed citations i.

About

Da Song is a scholar working on Molecular Biology, Ecology and Pharmacology. According to data from OpenAlex, Da Song has authored 34 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Ecology and 6 papers in Pharmacology. Recurrent topics in Da Song’s work include Microbial Community Ecology and Physiology (8 papers), Microbial Metabolism and Applications (5 papers) and Genomics and Phylogenetic Studies (5 papers). Da Song is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Microbial Metabolism and Applications (5 papers) and Genomics and Phylogenetic Studies (5 papers). Da Song collaborates with scholars based in China, South Korea and Macao. Da Song's co-authors include Meiying Xu, Jeung Hee An, Guoping Sun, Gong Chen, Zhenqiang Wu, Lei Quan, Kan Shi, Kang‐Hyun Chung, Gyeong-Ji Kim and Marco Pistolozzi and has published in prestigious journals such as Applied and Environmental Microbiology, Chemical Communications and Journal of Hazardous Materials.

In The Last Decade

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

Fields of papers citing papers by Da Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Da Song

Since Specialization
Citations

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