Kun Song

13 papers and 566 indexed citations i.

About

Kun Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Kun Song has authored 13 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Kun Song’s work include Immune Response and Inflammation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Sleep and Wakefulness Research (2 papers). Kun Song is often cited by papers focused on Immune Response and Inflammation (2 papers), Receptor Mechanisms and Signaling (2 papers) and Sleep and Wakefulness Research (2 papers). Kun Song collaborates with scholars based in China, United States and United Arab Emirates. Kun Song's co-authors include Wanling Peng, Min Xu, Yulong Li, Siyu Zhang, Zhaofa Wu, Tae Sun Shim, Joo Hun Park, Younsuck Koh, Jie Zhu and Xuelin Li and has published in prestigious journals such as Science, Nature Neuroscience and Immunity.

In The Last Decade

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

Fields of papers citing papers by Kun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Song

Since Specialization
Citations

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