Song Tan

22 papers and 482 indexed citations i.

About

Song Tan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Song Tan has authored 22 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Song Tan’s work include Acute Ischemic Stroke Management (5 papers), Gastric Cancer Management and Outcomes (3 papers) and Esophageal and GI Pathology (2 papers). Song Tan is often cited by papers focused on Acute Ischemic Stroke Management (5 papers), Gastric Cancer Management and Outcomes (3 papers) and Esophageal and GI Pathology (2 papers). Song Tan collaborates with scholars based in China and Germany. Song Tan's co-authors include Bo Wu, Shihong Zhang, Ming Liu, Yuan Fang, Hua Liu, Wei Li, Ming Liu, Deren Wang, Bian Liu and Yuming Xu and has published in prestigious journals such as Neurology, Stroke and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Song Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Tan

Since Specialization
Citations

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