Xiao Ouyang
- Molecular Biology
- Sensory Systems top 2%
- Neurology top 10%
- Endocrine and Autonomic Systems top 10%
- Cancer Research
- Topics
- Osteoarthritis Treatment and Mechanisms (5 papers)Knee injuries and reconstruction techniques (3 papers)MicroRNA in disease regulation (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiao Ouyang
20 papers receiving 374 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 238
- Sensory Systems 220
- Neurology 86
- Endocrine and Autonomic Systems 53
- Cancer Research 46
Countries citing papers authored by Xiao Ouyang
This map shows the geographic impact of Xiao Ouyang'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 Xiao Ouyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Ouyang more than expected).
Fields of papers citing papers by Xiao Ouyang
This network shows the impact of papers produced by Xiao Ouyang. 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 Xiao Ouyang. The network helps show where Xiao Ouyang may publish in the future.
Co-authorship network of co-authors of Xiao Ouyang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ouyang. A scholar is included among the top collaborators of Xiao Ouyang 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 Xiao Ouyang. Xiao Ouyang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | Mechanism of miRNA-31 Regulating Wnt/β-catenin Signaling Pathway by Targeting Satb2 in the Osteogenic Differentiation of Human Bone Marrow-Derived Mesenchymal Stem Cells. | 2 |
| 4 | LncRNA TUG regulates osteogenic differentiation of bone marrow mesenchymal stem cells via miRNA-204/SIRT 1. | 6 |
| 5 | Foxf1 gene increases the risk of osteoporosis in rats by inhibiting osteoblast formation and promoting osteoclast differentiation through the upregulation of NF-κB pathway. | 4 |
| 6 | 1 | |
| 7 | Effects of BMP-2 compound with fibrin on osteoporotic vertebral fracture healing in rats. | 3 |
| 8 | 7 | |
| 9 | Comparison of the clinical effect of DHS and PFNA on senile osteoporotic fracture and their significance of changes in BALP expression level. | 8 |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 56 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 154 | |
| 20 | 89 |
About Xiao Ouyang
Xiao Ouyang is a scholar working on Health Informatics, Orthopedics and Sports Medicine and Sensory Systems, having authored 20 papers that have together received 380 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Knee injuries and reconstruction techniques (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Sensory Systems (220 citations), Neurology (86 citations) and Endocrine and Autonomic Systems (53 citations). Xiao Ouyang has collaborated with scholars based in China, United States and France. Frequent co-authors include Thomas J. Bałkany, Xia Xia, Walter E. Nance, Fred F. Telischi, Simón I. Angeli, Yu Liu, Ke Xiao, Li Du, Arti Pandya and Christine Petit. Their work appears in journals such as Cellular and Molecular Life Sciences, Cell and Tissue Research and Human Genetics.
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.