Song Fan

147 papers and 3.9k indexed citations i.

About

Song Fan is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Song Fan has authored 147 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Surgery, 29 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Song Fan’s work include Reconstructive Surgery and Microvascular Techniques (18 papers), Head and Neck Surgical Oncology (16 papers) and Head and Neck Cancer Studies (11 papers). Song Fan is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (18 papers), Head and Neck Surgical Oncology (16 papers) and Head and Neck Cancer Studies (11 papers). Song Fan collaborates with scholars based in China, Hong Kong and United States. Song Fan's co-authors include Bakhos A. Tannous, Tian Tian, Jinsong Li, Zhongdang Xiao, Zuhong Lu, Ning‐Ping Huang, Yanliang Zhu, Jun Gao, Huixin Zhang and Chunpeng He and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Biomaterials.

In The Last Decade

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

Fields of papers citing papers by Song Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Fan

Since Specialization
Citations

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