Automated Author ProfileSheng, Jifang
Zhejiang University
Sheng, Jifang
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Since December 2019, the outbreak of Coronary Virus Disease 2019 (COVID-19) occurred in Wuhan, and rapidly spread across the country, and the world. As the number of diagnoses and deaths continues to rise, this has become the focus of international public health. COVID-19 is highly contagious, and there is no effective treatment. New treatment strategies are urgently needed to improve the treatment success rate of severe and critically ill patients. Increasing evidence has shown that cytokine storm plays an important role in the progression of COVID-19. The artificial liver blood purification system (ALS) is expected to improve the cytokine storm. In the present study, the levels of cytokines and chemokines were detected in 12 COVID-19 patients before and after ALS, and exciting results were obtained. The present study has directly proven that ALS can block the cytokine storm, rapidly remove the inflammatory mediators, and hopefully suppress the progression of the disease, providing a new idea for the clinical treatment of COVID-19.
Authors
- Guo, Jing ;
- Xia, He ;
- Wang, Shuting ;
- Yu, Liang ;
- Zhang, Huafen ;
- Chen, Jun ;
- Shi, Ding ;
- Chen, Yanfei ;
- Zhang, Yan ;
- Xu, Xiaowei ;
- Xu, Kaijin ;
- Sheng, Jifang ;
- Qiu, Yunqing ;
- Li, Lanjuan