Meng Song

49 papers and 876 indexed citations i.

About

Meng Song is a scholar working on Molecular Biology, Genetics and Biological Psychiatry. According to data from OpenAlex, Meng Song has authored 49 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Biological Psychiatry. Recurrent topics in Meng Song’s work include Tryptophan and brain disorders (8 papers), Genetic Associations and Epidemiology (5 papers) and Metabolic Engineering and Synthetic Biology (4 papers). Meng Song is often cited by papers focused on Tryptophan and brain disorders (8 papers), Genetic Associations and Epidemiology (5 papers) and Metabolic Engineering and Synthetic Biology (4 papers). Meng Song collaborates with scholars based in China, United States and Germany. Meng Song's co-authors include Wenming Zhang, Min Jiang, Jun Ming, Weiliang Dong, Fengxue Xin, Leifeng Xu, Panpan Yang, Jiangfeng Ma, Yuwei Cao and Guoren He and has published in prestigious journals such as Blood, PLANT PHYSIOLOGY and Bioresource Technology.

In The Last Decade

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

Fields of papers citing papers by Meng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meng Song

Since Specialization
Citations

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