Yongli Song

51 papers and 634 indexed citations i.

About

Yongli Song is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Yongli Song has authored 51 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Cell Biology. Recurrent topics in Yongli Song’s work include Animal Genetics and Reproduction (9 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and CRISPR and Genetic Engineering (5 papers). Yongli Song is often cited by papers focused on Animal Genetics and Reproduction (9 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and CRISPR and Genetic Engineering (5 papers). Yongli Song collaborates with scholars based in China, United States and United Kingdom. Yongli Song's co-authors include Zhengquan Yu, Jing Tang, Xinwang Yang, Wenxin Bian, Meifeng Yang, Maksim V. Plikus, Chunyun Wu, Fazheng Ren, Wei Cui and Yuhua Tian and has published in prestigious journals such as PLoS ONE, Oncogene and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Yongli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yongli Song

Since Specialization
Citations

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