Xin Song

129 papers and 1.8k indexed citations i.

About

Xin Song is a scholar working on Molecular Biology, Food Science and Genetics. According to data from OpenAlex, Xin Song has authored 129 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 36 papers in Food Science and 21 papers in Genetics. Recurrent topics in Xin Song’s work include Probiotics and Fermented Foods (31 papers), Gut microbiota and health (19 papers) and Metabolic Engineering and Synthetic Biology (11 papers). Xin Song is often cited by papers focused on Probiotics and Fermented Foods (31 papers), Gut microbiota and health (19 papers) and Metabolic Engineering and Synthetic Biology (11 papers). Xin Song collaborates with scholars based in China, United States and Germany. Xin Song's co-authors include Lianzhong Ai, Zhiqiang Xiong, Yongjun Xia, Guangqiang Wang, He Huang, Sheng Yang, Linghui Kong, Yijin Yang, Shengfang Ge and Xianqun Fan and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

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

Fields of papers citing papers by Xin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Song

Since Specialization
Citations

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