Xiaojin Song
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Immunology
- Co-authors
- Qifeng YangHanwen ZhangYiran LiangWenjing ZhaoBing ChenYaming LiYuting SangYing Liu
- Topics
- Circular RNAs in diseases (13 papers)Cancer-related molecular mechanisms research (9 papers)MicroRNA in disease regulation (8 papers)
- Journals
- PLoS ONECancer ResearchOncogene
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xiaojin Song
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.6k
- Cancer Research 1.3k
- Oncology 441
- Pulmonary and Respiratory Medicine 221
- Immunology 176
Countries citing papers authored by Xiaojin Song
This map shows the geographic impact of Xiaojin 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 Xiaojin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojin Song more than expected).
Fields of papers citing papers by Xiaojin Song
This network shows the impact of papers produced by Xiaojin 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 Xiaojin Song. The network helps show where Xiaojin Song may publish in the future.
Co-authorship network of co-authors of Xiaojin Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojin Song. A scholar is included among the top collaborators of Xiaojin 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 Xiaojin Song. Xiaojin 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 | 1 | |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 178 | |
| 7 | 2 | |
| 8 | 48 | |
| 9 | 17 | |
| 10 | 46 | |
| 11 | 107 | |
| 12 | circRNA_0025202 Regulates Tamoxifen Sensitivity and Tumor Progression via Regulating the miR-182-5p/FOXO3a Axis in Breast Cancerbreakdown → | 340 |
| 13 | Metastatic heterogeneity of breast cancer: Molecular mechanism and potential therapeutic targetsbreakdown → | 631 |
| 14 | 65 | |
| 15 | 28 | |
| 16 | 113 | |
| 17 | 59 | |
| 18 | 54 | |
| 19 | 65 | |
| 20 | Improved Kalman Filter Channel Estimation Method for OFDM Systems in Fast time-varying Environment | 1 |
About Xiaojin Song
Xiaojin Song is a scholar working on Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (13 papers), Cancer-related molecular mechanisms research (9 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.6k citations) and Oncology (441 citations). Xiaojin Song has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qifeng Yang, Hanwen Zhang, Yiran Liang, Wenjing Zhao, Bing Chen, Yaming Li, Yuting Sang, Ying Liu, Ning Zhang and Lijuan Wang. Their work appears in journals such as PLoS ONE, Cancer Research and Oncogene.
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.