Automated Author ProfileLiang, Jianfang
Liang, Jianfang
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: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Esophageal squamous cell carcinoma (ESCC) is the sixth most lethal cancer worldwide and the fourth most lethal cancer in China. Although copy number alterations and somaticpoint mutations associated with the development of ESCC have been identified by array-based technologies and genome-wide studies respectively. The genomic characterization of ESCC from different stages of the disease has not been explored and is likely to reveal additional oncogenic mechanisms. Here we have performed either whole-genome sequencing or whole-exome sequencing on 51 stage I and 53 stage III ESCC patients to characterize the genomic alterations that occur during the various clinical stages of ESCC, and further validated these changes in 36 atypical hyperplasia samples.
Due to the sensitive nature of this dataset it is being hosted in the secure restricted access database European Genome-Phenome Archive at the EBI. It has been assigned the accession number EGAD00001001487.
To gain access to this dataset you will need to apply for permission from the Shanxi Medical University and BGI Data Access Committee (DAC). There are two forms available to download from GigaDB FTP server (below), both should be completed and emailed to Dr Yongping Cui, who is the named representative of the combined Shanxi Medical Uni and BGI DAC.
After sending the forms to the DAC you will be contacted either by the DAC to decline your application or from the EGA with login details if your application is approved. This process can take several days.
Authors
- Cheng, Caixia ;
- Cui, Heyang ;
- Zhang, Ling ;
- Jia, Zhiwu ;
- Song, Bin ;
- Wang, Fang ;
- Zhou, Yong ;
- Li, Yaoping ;
- Liu, Jing ;
- Wang, Jiaqian ;
- Kong, Pengzhou ;
- Shi, Ruyi ;
- Bi, Yanghui ;
- Yang, Bin ;
- Wang, Juan ;
- Zhao, Zhenxiang ;
- Zhang, Yanyan ;
- Hu, Xiaoling ;
- Yang, Jie ;
- He, Chanting ;
- Zhao, Zhiping ;
- Wang, Jinfen ;
- Xi, Yanfeng ;
- Xu, Enwei ;
- Li, Guodong ;
- Guo, Shiping ;
- Chen, Yunqing ;
- Yang, Xiaofeng ;
- Chen, Xing ;
- Liang, Jianfang ;
- Guo, Jiansheng ;
- Li, Yingrui ;
- Huanming Yang, Xiuqing, Zhang ;
- Cheng, Xiaolong ;
- Wang, Jun ;
- Wang, Chuangui ;
- Zhan, Qimin ;
- Cui, Yongping