Qizhi Song

22 papers and 247 indexed citations i.

About

Qizhi Song is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Qizhi Song has authored 22 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Molecular Biology and 8 papers in Animal Science and Zoology. Recurrent topics in Qizhi Song’s work include Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Meat and Animal Product Quality (4 papers). Qizhi Song is often cited by papers focused on Genetic and phenotypic traits in livestock (13 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Meat and Animal Product Quality (4 papers). Qizhi Song collaborates with scholars based in China. Qizhi Song's co-authors include Deyin Zhang, Yukun Zhang, Xiaoxue Zhang, Fadi Li, Xiaolong Li, Weimin Wang, Jiangbo Cheng, Yuan Zhao, Jianhui Wang and Lvfeng Yuan and has published in prestigious journals such as Gene, Meat Science and Genomics.

In The Last Decade

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

Fields of papers citing papers by Qizhi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qizhi Song

Since Specialization
Citations

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