Chang Song

23 papers and 763 indexed citations i.

About

Chang Song is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Chang Song has authored 23 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 7 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Chang Song’s work include Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Chang Song is often cited by papers focused on Immune Response and Inflammation (8 papers), NF-κB Signaling Pathways (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Chang Song collaborates with scholars based in United States, South Korea and Japan. Chang Song's co-authors include Andrei E. Medvedev, Wenji Piao, Yanbao Xiong, Larry M. Wahl, Haiyan Chen, Katherine A. Fitzgerald, Stefanie N. Vogel, Marco Quevedo-Díaz, Leonardo H. Tonelli and Sarah M. Clark and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Chang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chang Song

Since Specialization
Citations

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