Chengli Song

58 papers and 760 indexed citations i.

About

Chengli Song is a scholar working on Surgery, Biomedical Engineering and Physiology. According to data from OpenAlex, Chengli Song has authored 58 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 19 papers in Biomedical Engineering and 9 papers in Physiology. Recurrent topics in Chengli Song’s work include Surgical Simulation and Training (8 papers), Thyroid and Parathyroid Surgery (7 papers) and Ultrasound and Hyperthermia Applications (7 papers). Chengli Song is often cited by papers focused on Surgical Simulation and Training (8 papers), Thyroid and Parathyroid Surgery (7 papers) and Ultrasound and Hyperthermia Applications (7 papers). Chengli Song collaborates with scholars based in China, United Kingdom and United States. Chengli Song's co-authors include A. Cuschieri, Tim Frank, Lin Mao, Guangyin Yuan, Shiju Yan, Y. Zhao, Weimin Huang, Z. Ding, Hai Lu and Hendra Purnawali and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and International Journal of Cancer.

In The Last Decade

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

Fields of papers citing papers by Chengli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chengli Song

Since Specialization
Citations

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