Bin Song

17 papers and 278 indexed citations
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About

Bin Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Bin Song has authored 17 papers receiving a total of 278 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 Cancer Research. Recurrent topics in Bin Song’s work include Pluripotent Stem Cells Research (5 papers), RNA Research and Splicing (4 papers) and Cancer-related molecular mechanisms research (3 papers). Bin Song is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), RNA Research and Splicing (4 papers) and Cancer-related molecular mechanisms research (3 papers). Bin Song collaborates with scholars based in China, United States and South Korea. Bin Song's co-authors include Pierre Leblanc, Kwang‐Soo Kim, Jeffrey S. Schweitzer, Nayeon Lee, Bob S. Carter, Young Cha, Kai‐Christian Sonntag, Sek Won Kong, Jin Hyuk Jung 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

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Song. A scholar is included among the top collaborators of Bin Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Song. Bin Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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2026