Song Liu
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Biomedical Engineering top 10%
- Oncology top 10%
- Topics
- Radiomics and Machine Learning in Medical Imaging (32 papers)Gastric Cancer Management and Outcomes (31 papers)MRI in cancer diagnosis (18 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Song Liu
94 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Radiology, Nuclear Medicine and Imaging 650
- Pulmonary and Respiratory Medicine 564
- Surgery 480
- Biomedical Engineering 350
- Oncology 263
Countries citing papers authored by Song Liu
This map shows the geographic impact of Song Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Liu more than expected).
Fields of papers citing papers by Song Liu
This network shows the impact of papers produced by Song Liu. 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 Liu. The network helps show where Song Liu may publish in the future.
Co-authorship network of co-authors of Song Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Song Liu. A scholar is included among the top collaborators of Song Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Song Liu. Song Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | [Influence of SOX10 on the proliferation and invasion of prostate cancer cells]. | 1 |
| 13 | 2 | |
| 14 | [Comparison of three surgical methods of ureteropelvic junction obstruction in therapeutic effect and complication]. | 2 |
| 15 | 14 | |
| 16 | 30 | |
| 17 | 22 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 26 |
About Song Liu
Song Liu is a scholar working on Gastroenterology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 100 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (32 papers), Gastric Cancer Management and Outcomes (31 papers) and MRI in cancer diagnosis (18 papers). The work is most often cited by research in Gastroenterology (182 citations), Radiology, Nuclear Medicine and Imaging (650 citations) and Pulmonary and Respiratory Medicine (564 citations). Song Liu has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Zhengyang Zhou, Jian He, Wenxian Guan, Yue Guan, Yun Ge, Hua Shi, Shunli Liu, Changfeng Ji, Yidan Sun and Runqi Yan. Their work appears in journals such as Journal of Clinical Oncology, Nano Letters and Blood.
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.