Automated Author ProfileZhang, Mingtao
Zhang, Mingtao
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: 30.9 (sum of 70 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Li, Si ;
- Wang, Zhixuan ;
- Zhang, Mingtao ;
- Zhou, Lina ;
- Tang, Weiwei ;
- Gong, Junbo
This study explored the prognostic role of GPR27 and its predictive value to platinum-based therapy in ovarian cancer. A survival analysis of GPR27, and the therapeutic response to platinum in ovarian cancer was investigated using data from the cancer genome atlas (TCGA) and Gene Expression Omnibus (GEO) databases. GPR27 expression was assessed using reverse transcription-polymerase chain reaction (RT-PCR) and immunohistochemistry. Database analysis and RT-PCR revealed over-expression of GPR27 mRNA in ovarian cancer tissues compared to normal ovarian tissues. Ovarian cancer patients with up-regulated GPR27 transcription were associated with better overall survival and disease-free survival compared to those with downregulated GPR27 mRNA in the TCGA dataset and Kaplan-Meier plot database (N = 1656). GPR27 demonstrated good predictive value for pathological response in patients with ovarian cancer receiving platinum-based therapy. The predictive performance for 6-month relapse-free survival was higher in endometrioid ovarian cancer (AUC:0.804) than that in serous ovarian cancer. GPR27 protein levels were significantly up-regulated in ovarian cancer tissues compared with normal ovarian tissue, and high GPR27 protein expression correlated with early-stage TNM. ROC analysis revealed that the GPR27 protein, quantified by the immunohistochemistry score, effectively predicted the response to platinum-based therapy response with an AUC of 0.7479 in our cohort. GPR27 was up-regulated in ovarian cancer, compared with that of normal ovarian tissue, and was strongly correlated with survival outcomes and response to platinum-based therapy. GPR27 may serve as a reliable biomarker for platinum -based therapy in ovarian cancer patients.
Authors
- Peng, Xiulan ;
- Cai, Yahong ;
- Tang, Bing ;
- Zhang, Mingtao ;
- Wang, Xia
This study explored the prognostic role of GPR27 and its predictive value to platinum-based therapy in ovarian cancer. A survival analysis of GPR27, and the therapeutic response to platinum in ovarian cancer was investigated using data from the cancer genome atlas (TCGA) and Gene Expression Omnibus (GEO) databases. GPR27 expression was assessed using reverse transcription-polymerase chain reaction (RT-PCR) and immunohistochemistry. Database analysis and RT-PCR revealed over-expression of GPR27 mRNA in ovarian cancer tissues compared to normal ovarian tissues. Ovarian cancer patients with up-regulated GPR27 transcription were associated with better overall survival and disease-free survival compared to those with downregulated GPR27 mRNA in the TCGA dataset and Kaplan-Meier plot database (N = 1656). GPR27 demonstrated good predictive value for pathological response in patients with ovarian cancer receiving platinum-based therapy. The predictive performance for 6-month relapse-free survival was higher in endometrioid ovarian cancer (AUC:0.804) than that in serous ovarian cancer. GPR27 protein levels were significantly up-regulated in ovarian cancer tissues compared with normal ovarian tissue, and high GPR27 protein expression correlated with early-stage TNM. ROC analysis revealed that the GPR27 protein, quantified by the immunohistochemistry score, effectively predicted the response to platinum-based therapy response with an AUC of 0.7479 in our cohort. GPR27 was up-regulated in ovarian cancer, compared with that of normal ovarian tissue, and was strongly correlated with survival outcomes and response to platinum-based therapy. GPR27 may serve as a reliable biomarker for platinum -based therapy in ovarian cancer patients.
Authors
- Peng, Xiulan ;
- Cai, Yahong ;
- Tang, Bing ;
- Zhang, Mingtao ;
- Wang, Xia
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Kang, Xiang ;
- Zhang, Mingtao ;
- Tang, Weiwei ;
- Gong, Junbo
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Chen, Hongbin ;
- Zou, Yalu ;
- Liang, Huazhe ;
- He, Tengfei ;
- Xu, Xiaoyun ;
- Zhang, Yunxin ;
- Ma, Zaifei ;
- Wang, Jing ;
- Zhang, Mingtao ;
- Li, Quanwen ;
- Li, Chenxi ;
- Long, Guankui ;
- Wan, Xiangjian ;
- Yao, Zhaoyang ;
- Chen, Yongsheng
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Yao, Ming ;
- Xu, Gang ;
- Tang, Kuanzhen ;
- Zhang, Mingtao ;
- Zhang, Binbin ;
- Zhu, Jinmeng
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Zou, Yalu ;
- Chen, Hongbin ;
- Bi, Xingqi ;
- Xu, Xiaoyun ;
- Wang, Hebin ;
- Lin, Menglu ;
- Ma, Zaifei ;
- Zhang, Mingtao ;
- Li, Chenxi ;
- Wan, Xiangjian ;
- Long, Guankui ;
- Zhaoyang, Yao ;
- Chen, Yongsheng
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Zou, Yalu ;
- Chen, Hongbin ;
- Bi, Xingqi ;
- Xu, Xiaoyun ;
- Wang, Hebin ;
- Lin, Menglu ;
- Ma, Zaifei ;
- Zhang, Mingtao ;
- Li, Chenxi ;
- Wan, Xiangjian ;
- Long, Guankui ;
- Zhaoyang, Yao ;
- Chen, Yongsheng
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Cui, Jingjing ;
- Weiser, Jonas ;
- Fantuzzi, Felipe ;
- Dietz, Maximilian ;
- Yatsenko, Yelyzaveta ;
- Häfner, Andreas ;
- Nees, Samuel ;
- Krummenacher, Ivo ;
- Zhang, Mingtao ;
- Hammond, Kai ;
- Roth, Paula ;
- Lu, Wei ;
- Dewhurst, Rian D. ;
- Engels, Bernd ;
- Braunschweig, Holger
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Cui, Jingjing ;
- Weiser, Jonas ;
- Fantuzzi, Felipe ;
- Dietz, Maximilian ;
- Yatsenko, Yelyzaveta ;
- Häfner, Andreas ;
- Nees, Samuel ;
- Krummenacher, Ivo ;
- Zhang, Mingtao ;
- Hammond, Kai ;
- Roth, Paula ;
- Lu, Wei ;
- Dewhurst, Rian D. ;
- Engels, Bernd ;
- Braunschweig, Holger