Erqun Song

154 papers and 5.8k indexed citations i.

About

Erqun Song is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Erqun Song has authored 154 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 29 papers in Biomedical Engineering and 22 papers in Materials Chemistry. Recurrent topics in Erqun Song’s work include Advanced biosensing and bioanalysis techniques (37 papers), Genomics, phytochemicals, and oxidative stress (17 papers) and Biosensors and Analytical Detection (14 papers). Erqun Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (37 papers), Genomics, phytochemicals, and oxidative stress (17 papers) and Biosensors and Analytical Detection (14 papers). Erqun Song collaborates with scholars based in China, United States and Australia. Erqun Song's co-authors include Yang Song, Weihong Tan, Guizhi Zhu, Zixuan Liu, Jing Zheng, Xiaomin Xia, Kejing Zhang, Dan Cheng, Michael Donovan and Lingrui Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

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

Fields of papers citing papers by Erqun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Erqun Song

Since Specialization
Citations

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