Song Sheng

21 papers and 285 indexed citations i.

About

Song Sheng is a scholar working on Surgery, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Song Sheng has authored 21 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Song Sheng’s work include Spinal Fractures and Fixation Techniques (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Hip and Femur Fractures (2 papers). Song Sheng is often cited by papers focused on Spinal Fractures and Fixation Techniques (3 papers), Spine and Intervertebral Disc Pathology (3 papers) and Hip and Femur Fractures (2 papers). Song Sheng collaborates with scholars based in China, Canada and United States. Song Sheng's co-authors include Robert T. Naismith, Nhial T. Tutlam, Jeri‐Anne Lyons, Anne H. Cross, Laura Piccio, Becky Parks, Kathryn Trinkaus, Fengqin Xu, Ye Huang and Yanhong Zhang and has published in prestigious journals such as Neurology, Frontiers in Immunology and Frontiers in Pharmacology.

In The Last Decade

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

Fields of papers citing papers by Song Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Sheng

Since Specialization
Citations

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