Xinghua Song

48 papers and 502 indexed citations i.

About

Xinghua Song is a scholar working on Surgery, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Xinghua Song has authored 48 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 9 papers in Pathology and Forensic Medicine and 8 papers in Rheumatology. Recurrent topics in Xinghua Song’s work include Parasitic infections in humans and animals (6 papers), Orthopedic Infections and Treatments (5 papers) and Bone Tissue Engineering Materials (4 papers). Xinghua Song is often cited by papers focused on Parasitic infections in humans and animals (6 papers), Orthopedic Infections and Treatments (5 papers) and Bone Tissue Engineering Materials (4 papers). Xinghua Song collaborates with scholars based in China, United States and Austria. Xinghua Song's co-authors include Hao Wen, Liang‐Wen Ding, Ye Wu, Xiaodong Pang, Changcheng Zhao, Baogan Peng, Jiangtao Chen, Zheng Tian, Qiang Jia and Tengfei Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Engineering Journal and Pain.

In The Last Decade

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

Fields of papers citing papers by Xinghua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xinghua Song

Since Specialization
Citations

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