Songlin Gao
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Cancer Research
- Molecular Biology
- Artificial Intelligence
- Topics
- Breast Cancer Treatment Studies (6 papers)HER2/EGFR in Cancer Research (6 papers)Cancer Treatment and Pharmacology (5 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Songlin Gao
21 papers receiving 296 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Oncology 107
- Radiology, Nuclear Medicine and Imaging 77
- Cancer Research 75
- Molecular Biology 73
- Artificial Intelligence 71
Countries citing papers authored by Songlin Gao
This map shows the geographic impact of Songlin 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 Songlin Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlin Gao more than expected).
Fields of papers citing papers by Songlin Gao
This network shows the impact of papers produced by Songlin 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 Songlin Gao. The network helps show where Songlin Gao may publish in the future.
Co-authorship network of co-authors of Songlin Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Gao. A scholar is included among the top collaborators of Songlin Gao 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 Songlin Gao. Songlin Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 41 | |
| 15 | 6 | |
| 16 | 28 | |
| 17 | Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learningbreakdown → | 158 |
| 18 | 0 | |
| 19 | 2 | |
| 20 | 13 |
About Songlin Gao
Songlin Gao is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 300 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Cancer Research (75 citations), Health Informatics (6 citations) and Oncology (107 citations). Songlin Gao has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Peng Yuan, Binbin Ji, Geng Tian, Yuebin Liang, Lei Guo, Jialiang Yang, Zixuan Yang, Yuan Xu, Jian Yue and Yiran Si. Their work appears in journals such as Journal of Clinical Oncology, Medicine and International Journal of Nanomedicine.
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.