Xiaomin Song

132 papers and 6.5k indexed citations i.

About

Xiaomin Song is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaomin Song has authored 132 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 33 papers in Immunology and 21 papers in Oncology. Recurrent topics in Xiaomin Song’s work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Xiaomin Song is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Xiaomin Song collaborates with scholars based in China, United States and Australia. Xiaomin Song's co-authors include Yongzhang Luo, Yan Fu, Hubing Shi, Mark I. Greene, Yujie Huang, Xiaofeng Wang, Zhaocai Zhou, Shaopeng Yuan, Wei Zhuo and Jürgen Götz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

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

Fields of papers citing papers by Xiaomin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaomin Song

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025