Tieli Song

10 papers and 384 indexed citations i.

About

Tieli Song is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Tieli Song has authored 10 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Tieli Song’s work include Mesenchymal stem cell research (3 papers), Head and Neck Surgical Oncology (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Tieli Song is often cited by papers focused on Mesenchymal stem cell research (3 papers), Head and Neck Surgical Oncology (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). Tieli Song collaborates with scholars based in China and United States. Tieli Song's co-authors include Songlin Wang, Dayong Liu, Zhipeng Fan, Fulan Wei, Songtao Shi, Chunmei Zhang, Gang Ding, Cunye Qu, Yi Liu and Gang Ding and has published in prestigious journals such as PLoS ONE, Journal of Cellular Physiology and Head & Neck.

In The Last Decade

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

Fields of papers citing papers by Tieli Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tieli Song

Since Specialization
Citations

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