Mingzhou Song

51 papers and 1.2k indexed citations i.

About

Mingzhou Song is a scholar working on Molecular Biology, Plant Science and Artificial Intelligence. According to data from OpenAlex, Mingzhou Song has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 15 papers in Plant Science and 5 papers in Artificial Intelligence. Recurrent topics in Mingzhou Song’s work include Gene Regulatory Network Analysis (11 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Mingzhou Song is often cited by papers focused on Gene Regulatory Network Analysis (11 papers), Bioinformatics and Genomic Networks (8 papers) and Gene expression and cancer classification (7 papers). Mingzhou Song collaborates with scholars based in United States, China and Canada. Mingzhou Song's co-authors include Haizhou Wang, Jinfa Zhang, Joseph Said, Zhongxu Lin, Xianlong Zhang, Z. Lewis Liu, Menggen Ma, Hongbin Wang, Stéphane Boissinot and Hantao Wang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Mingzhou Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingzhou Song

Since Specialization
Citations

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