Yangzi Song

12 papers and 276 indexed citations i.

About

Yangzi Song is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Yangzi Song has authored 12 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Yangzi Song’s work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Immune Cell Function and Interaction (3 papers). Yangzi Song is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Immune Cell Function and Interaction (3 papers). Yangzi Song collaborates with scholars based in China, United States and Uganda. Yangzi Song's co-authors include Hui Zeng, Guiju Gao, Fujie Zhang, Meiling Chen, Siyuan Yang, Yajie Wang, Yanli Xu, Fengting Yu, Yunxia Tang and Qi Wang and has published in prestigious journals such as Annals of Internal Medicine, Clinical Infectious Diseases and Aging Cell.

In The Last Decade

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

Fields of papers citing papers by Yangzi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yangzi Song

Since Specialization
Citations

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