Zeqing Song
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Materials Chemistry
- Topics
- Cancer-related molecular mechanisms research (6 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers)MicroRNA in disease regulation (4 papers)
- Journals
- Journal of Alloys and CompoundsJournal of Leukocyte BiologyEnvironmental Science and Pollution Research
- Partner nations
- ChinaUnited States
In The Last Decade
Zeqing Song
19 papers receiving 390 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 241
- Cancer Research 164
- Oncology 58
- Pulmonary and Respiratory Medicine 55
- Materials Chemistry 26
Countries citing papers authored by Zeqing Song
This map shows the geographic impact of Zeqing 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 Zeqing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeqing Song more than expected).
Fields of papers citing papers by Zeqing Song
This network shows the impact of papers produced by Zeqing 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 Zeqing Song. The network helps show where Zeqing Song may publish in the future.
Co-authorship network of co-authors of Zeqing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Zeqing Song. A scholar is included among the top collaborators of Zeqing 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 Zeqing Song. Zeqing 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 | 2 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 24 | |
| 9 | 87 | |
| 10 | MiR-5100 targets TOB2 to drive epithelial-mesenchymal transition associated with activating smad2/3 in lung epithelial cells. | 9 |
| 11 | 23 | |
| 12 | 28 | |
| 13 | 20 | |
| 14 | FBXO31 promotes cell proliferation, metastasis and invasion in lung cancer. | 28 |
| 15 | 15 | |
| 16 | 73 | |
| 17 | 28 | |
| 18 | The enhancement of Astragalus Polysaccharide on specific immunotherapy in asthmatic mouse. | 1 |
| 19 | 0 | |
| 20 | [The effect of triptolide on the proliferation of airway smooth muscle and the expression of c-fos and c-jun in asthmatic rats]. | 2 |
About Zeqing Song
Zeqing Song is a scholar working on Cancer Research, Geriatrics and Gerontology and Complementary and alternative medicine, having authored 20 papers that have together received 392 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (164 citations), Geriatrics and Gerontology (21 citations) and Molecular Biology (241 citations). Zeqing Song has collaborated with scholars based in China and United States. Frequent co-authors include Ming Dai, Yonglin Lu, Zhigang Wang, Gang Liu, Lawei Yang, Qinglan Li, Yahong Wang, Ziying Lin, Shenglan Gao and Runzhi Zhu. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Leukocyte Biology and Environmental Science and Pollution Research.
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.