Ge Song
- Molecular Biology
- Cancer Research top 10%
- Plant Science
- Physiology
- Biochemistry top 10%
- Topics
- Cancer-related molecular mechanisms research (6 papers)Circular RNAs in diseases (6 papers)MicroRNA in disease regulation (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ge Song
42 papers receiving 705 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 382
- Cancer Research 190
- Plant Science 103
- Physiology 68
- Biochemistry 55
Countries citing papers authored by Ge Song
This map shows the geographic impact of Ge 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 Ge Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Song more than expected).
Fields of papers citing papers by Ge Song
This network shows the impact of papers produced by Ge 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 Ge Song. The network helps show where Ge Song may publish in the future.
Co-authorship network of co-authors of Ge Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ge Song. A scholar is included among the top collaborators of Ge 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 Ge Song. Ge 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 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | Construction and Comprehensive Analysis of a ceRNA Network to Reveal Potential Novel Biomarkers for Triple-Negative Breast Cancer | 3 |
| 13 | miR-424-5p Promotes Proliferation, Migration and Invasion of Laryngeal Squamous Cell Carcinoma | 3 |
| 14 | 16 | |
| 15 | 5 | |
| 16 | 28 | |
| 17 | 62 | |
| 18 | 58 | |
| 19 | 11 | |
| 20 | 2 |
About Ge Song
Ge Song is a scholar working on Biological Psychiatry, Cancer Research and Biochemistry, having authored 48 papers that have together received 717 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (6 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (190 citations), Biological Psychiatry (30 citations) and Biochemistry (55 citations). Ge Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Min Liu, Xuebo Liu, Zhigang Liu, Yili Zheng, Jiabao Guo, Xue‐Qiang Wang, Yang Zheng, Xuan Su, Xin Li and Yaya Hu. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.