Suquan Song

86 papers and 2.1k indexed citations i.

About

Suquan Song is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Suquan Song has authored 86 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 25 papers in Plant Science and 19 papers in Food Science. Recurrent topics in Suquan Song’s work include Mycotoxins in Agriculture and Food (22 papers), Pesticide Residue Analysis and Safety (13 papers) and Inflammasome and immune disorders (11 papers). Suquan Song is often cited by papers focused on Mycotoxins in Agriculture and Food (22 papers), Pesticide Residue Analysis and Safety (13 papers) and Inflammasome and immune disorders (11 papers). Suquan Song collaborates with scholars based in China, Belgium and Czechia. Suquan Song's co-authors include Aibo Wu, Sarah De Saeger, Emmanuel Njumbe Ediage, Liping Yan, Wentao Fan, Zhiyong Zhao, Kehe Huang, Xizhi Shi, Na Liu and Chenchen Ding and has published in prestigious journals such as Analytical Chemistry, The Science of The Total Environment and Journal of Virology.

In The Last Decade

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

Fields of papers citing papers by Suquan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suquan Song

Since Specialization
Citations

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