Ruixia Song

34 papers and 464 indexed citations i.

About

Ruixia Song is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Materials Chemistry. According to data from OpenAlex, Ruixia Song has authored 34 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Materials Chemistry. Recurrent topics in Ruixia Song’s work include Kawasaki Disease and Coronary Complications (6 papers), Graphene research and applications (4 papers) and Coronary Artery Anomalies (4 papers). Ruixia Song is often cited by papers focused on Kawasaki Disease and Coronary Complications (6 papers), Graphene research and applications (4 papers) and Coronary Artery Anomalies (4 papers). Ruixia Song collaborates with scholars based in China, United States and Hong Kong. Ruixia Song's co-authors include Xiaohui Li, Zhigang Wang, Wei Yao, Shuai Yang, Yuanzhi Wang, Caifeng Li, Junmei Zhang, Xing Dai, Bo Wang and Dongxu Qi and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Ruixia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruixia Song

Since Specialization
Citations

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