Lei Song

40 papers and 789 indexed citations i.

About

Lei Song is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Lei Song has authored 40 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Genetics. Recurrent topics in Lei Song’s work include Cancer Genomics and Diagnostics (12 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (6 papers). Lei Song is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Genetic Associations and Epidemiology (10 papers) and Bioinformatics and Genomic Networks (6 papers). Lei Song collaborates with scholars based in United States, China and Italy. Lei Song's co-authors include Subha Madhavan, Krithika Bhuvaneshwar, Yuriy Gusev, Howard A. Fine, Bin Zhu, Maria Teresa Landi, Jianxin Shi, Yue Wang, Xing Hua and Ie‐Ming Shih and has published in prestigious journals such as Circulation, Nature Communications and Bioinformatics.

In The Last Decade

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

Fields of papers citing papers by Lei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Song

Since Specialization
Citations

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