Cailu Song
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Topics
- Cancer-related molecular mechanisms research (14 papers)MicroRNA in disease regulation (13 papers)Circular RNAs in diseases (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaOncogeneScientific Reports
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Cailu Song
36 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.3k
- Cancer Research 968
- Oncology 483
- Pulmonary and Respiratory Medicine 253
- Immunology 155
Countries citing papers authored by Cailu Song
This map shows the geographic impact of Cailu Song'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 Cailu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cailu Song more than expected).
Fields of papers citing papers by Cailu Song
This network shows the impact of papers produced by Cailu Song. 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 Cailu Song. The network helps show where Cailu Song may publish in the future.
Co-authorship network of co-authors of Cailu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Cailu Song. A scholar is included among the top collaborators of Cailu Song 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 Cailu Song. Cailu Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 29 | |
| 4 | 5 | |
| 5 | 32 | |
| 6 | 3 | |
| 7 | Methylation of GPRC5A promotes liver metastasis and docetaxel resistance through activating mTOR signaling pathway in triple negative breast cancerbreakdown → | 106 |
| 8 | 8 | |
| 9 | 37 | |
| 10 | A novel axis of circKIF4A-miR-637-STAT3 promotes brain metastasis in triple-negative breast cancerbreakdown → | 137 |
| 11 | 46 | |
| 12 | 40 | |
| 13 | The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancerbreakdown → | 191 |
| 14 | 18 | |
| 15 | 32 | |
| 16 | 60 | |
| 17 | 40 | |
| 18 | 39 | |
| 19 | 109 | |
| 20 | 83 |
About Cailu Song
Cailu Song is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (13 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (968 citations), Molecular Biology (1.3k citations) and Oncology (483 citations). Cailu Song has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hailin Tang, Xiaoming Xie, Xinhua Xie, Xiaojia Huang, Lu Yang, Xiaoming Xie, Feng Ye, Song Wu, Bo Chen and Xinpei Deng. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.
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.