Chengyi Song

80 papers and 781 indexed citations i.

About

Chengyi Song is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Chengyi Song has authored 80 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 37 papers in Plant Science and 34 papers in Genetics. Recurrent topics in Chengyi Song’s work include Chromosomal and Genetic Variations (37 papers), Genomics and Phylogenetic Studies (21 papers) and CRISPR and Genetic Engineering (17 papers). Chengyi Song is often cited by papers focused on Chromosomal and Genetic Variations (37 papers), Genomics and Phylogenetic Studies (21 papers) and CRISPR and Genetic Engineering (17 papers). Chengyi Song collaborates with scholars based in China, Germany and Italy. Chengyi Song's co-authors include Bo Gao, Cai Chen, Dan Shen, Xiaoyan Wang, Saisai Wang, Yali Wang, Songlei Xue, Hengmi Cui, Jiude Mao and Ferenc Müller and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Methods.

In The Last Decade

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

Fields of papers citing papers by Chengyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengyi Song

Since Specialization
Citations

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