Bin Song

17 papers and 241 indexed citations i.

About

Bin Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Bin Song has authored 17 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Bin Song’s work include Pluripotent Stem Cells Research (5 papers), RNA Research and Splicing (4 papers) and CRISPR and Genetic Engineering (3 papers). Bin Song is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), RNA Research and Splicing (4 papers) and CRISPR and Genetic Engineering (3 papers). Bin Song collaborates with scholars based in China, United States and South Korea. Bin Song's co-authors include Kwang‐Soo Kim, Pierre Leblanc, Jeffrey S. Schweitzer, Bob S. Carter, Young Cha, Nayeon Lee, Sek Won Kong, Jin Hyuk Jung, Kai‐Christian Sonntag and Jeha Jeon and has published in prestigious journals such as Nature, Nature Protocols and International Journal of Molecular Sciences.

In The Last Decade

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

Fields of papers citing papers by Bin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bin Song

Since Specialization
Citations

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