Kun Song

40 papers and 868 indexed citations i.

About

Kun Song is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Kun Song has authored 40 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Epidemiology and 9 papers in Immunology. Recurrent topics in Kun Song’s work include interferon and immune responses (6 papers), Autophagy in Disease and Therapy (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Kun Song is often cited by papers focused on interferon and immune responses (6 papers), Autophagy in Disease and Therapy (6 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Kun Song collaborates with scholars based in China, United States and Hong Kong. Kun Song's co-authors include Shitao Li, Hua‐Ji Qiu, Yuan Sun, Yuzi Luo, Chunhua Wang, Jin Yuan, Na Li, Wenzhuo Hao, Weijia Sun and Jing Zou and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

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