Song Gao

32 papers and 672 indexed citations i.

About

Song Gao is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Song Gao has authored 32 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 16 papers in Cancer Research and 13 papers in Molecular Biology. Recurrent topics in Song Gao’s work include Pancreatic and Hepatic Oncology Research (20 papers), Cancer Cells and Metastasis (10 papers) and Cancer Genomics and Diagnostics (7 papers). Song Gao is often cited by papers focused on Pancreatic and Hepatic Oncology Research (20 papers), Cancer Cells and Metastasis (10 papers) and Cancer Genomics and Diagnostics (7 papers). Song Gao collaborates with scholars based in China and United States. Song Gao's co-authors include Zhen Chen, Peng Wang, Lu-Ming Liu, Haiyan Dai, Xiuchao Wang, Yongqiang Hua, Hao Xi, Jihui Hao, Te Liu and Zhiqiang Meng and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Song Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Gao

Since Specialization
Citations

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