Shuangshuang Song

31 papers and 580 indexed citations i.

About

Shuangshuang Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, Shuangshuang Song has authored 31 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 8 papers in Molecular Biology. Recurrent topics in Shuangshuang Song’s work include Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Nanoparticle-Based Drug Delivery (4 papers). Shuangshuang Song is often cited by papers focused on Glioma Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Nanoparticle-Based Drug Delivery (4 papers). Shuangshuang Song collaborates with scholars based in China, Canada and South Korea. Shuangshuang Song's co-authors include Xinggang Yang, Weisan Pan, Tiantian Ye, Fen Chen, Naicheng Sheng, Huan Qi, Wenji Zhang, Fei Li, Jingwen Xu and Jie Lu and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and International Journal of Pharmaceutics.

In The Last Decade

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

Fields of papers citing papers by Shuangshuang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuangshuang Song

Since Specialization
Citations

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