Xiaodong Song
- Molecular Biology top 10%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (26 papers)Cancer-related molecular mechanisms research (14 papers)Circular RNAs in diseases (12 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaodong Song
114 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.2k
- Cancer Research 668
- Pulmonary and Respiratory Medicine 632
- Cardiology and Cardiovascular Medicine 249
- Epidemiology 225
Countries citing papers authored by Xiaodong Song
This map shows the geographic impact of Xiaodong 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 Xiaodong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodong Song more than expected).
Fields of papers citing papers by Xiaodong Song
This network shows the impact of papers produced by Xiaodong 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 Xiaodong Song. The network helps show where Xiaodong Song may publish in the future.
Co-authorship network of co-authors of Xiaodong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Song. A scholar is included among the top collaborators of Xiaodong 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 Xiaodong Song. Xiaodong 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 93 | |
| 13 | 25 | |
| 14 | 2 | |
| 15 | [The genotype-phenotype correlation of MYH7 gene G15391A mutation and MYBPC3 gene G12101A mutation in familial hypertrophic cardiomyopathy]. | 1 |
| 16 | 19 | |
| 17 | [Clinical features of dilated cardiomyopathy-like hypertrophic cardiomyopathy caused by a 13261 G > A mutation in cardiac myosin-binding protein C gene]. | 1 |
| 18 | 19 | |
| 19 | 2 | |
| 20 | Laparoscopic and posterior laparoscopic adrenalectomy as compared with open adrenalectomy (report of 93 cases) | 1 |
About Xiaodong Song
Xiaodong Song is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (26 papers), Cancer-related molecular mechanisms research (14 papers) and Circular RNAs in diseases (12 papers). The work is most often cited by research in Cancer Research (668 citations), Pulmonary and Respiratory Medicine (632 citations) and Biochemistry (113 citations). Xiaodong Song has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Changjun Lv, Jinjin Zhang, Meirong Wang, Ji Zuo, Rutai Hui, Pan Xu, Guohong Cao, Youlei Wang, Wen Liu and Yan Liu. Their work appears in journals such as Journal of Clinical Oncology, Nano Letters 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.