Lingyun Song

56 papers and 4.3k indexed citations i.

About

Lingyun Song is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Lingyun Song has authored 56 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 16 papers in Genetics and 15 papers in Cancer Research. Recurrent topics in Lingyun Song’s work include Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (14 papers) and RNA Research and Splicing (13 papers). Lingyun Song is often cited by papers focused on Genomics and Chromatin Dynamics (26 papers), Epigenetics and DNA Methylation (14 papers) and RNA Research and Splicing (13 papers). Lingyun Song collaborates with scholars based in United States, China and United Kingdom. Lingyun Song's co-authors include Gregory E. Crawford, Alexias Safi, Timothy E. Reddy, Charles A. Gersbach, Anthony D’Ippolito, Terrence S. Furey, Ami M. Kabadi, Pratiksha I. Thakore, Vishwanath R. Iyer and Bum-Kyu Lee and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

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

Fields of papers citing papers by Lingyun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingyun Song

Since Specialization
Citations

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