Song Qu

About

Song Qu is a scholar working on Otorhinolaryngology, Oncology and Surgery. According to data from OpenAlex, Song Qu has authored 94 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Otorhinolaryngology, 43 papers in Oncology and 36 papers in Surgery. Recurrent topics in Song Qu’s work include Head and Neck Cancer Studies (52 papers), Head and Neck Surgical Oncology (22 papers) and Lung Cancer Research Studies (15 papers). Song Qu is often cited by papers focused on Head and Neck Cancer Studies (52 papers), Head and Neck Surgical Oncology (22 papers) and Lung Cancer Research Studies (15 papers). Song Qu collaborates with scholars based in China, United States and The Netherlands. Song Qu's co-authors include Xiaodong Zhu, Zhongguo Liang, Kai-Hua Chen, Yanming Jiang, Ling Li, Xiao‐Dong Zhu, Fang Su, Shi‐Ting Huang, Liang Xia and Binbin Yu and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

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

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Fields of papers citing papers by Song Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Qu

Since Specialization

Citations

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