Automated Author ProfileHayat, Sikander
Institute of Biochemistry and Molecular Biology II, Heinrich-Heine University, Düsseldorf, Germany.Translational Data Science, Department of Renal and Hypertensive Diseases, Rheumatological and Immunological Diseases, Medical Clinic II, Uniklinik RWTH Aachen, Germany.
Hayat, Sikander
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: 2.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Project manager(s): Essam M. Abdelalim (Sidra Medicine, Qatar)Wild type iPSCs (WT-iPSCs) generated and fully characterized in our laboratory were used for RFX6 knockout iPSCs (RFX6 KO iPSCs) generation. WT-iPSCs and RFX6 KO iPSCs were differentiated into pancreatic islet cells to uncover RFX6’s role during pancreatic islet development. The dataset represents RNA-seq data generated from pancreatic progenitors (PPs) and endocrine progenitors (EPs) derived from WT-iPSCs and RFX6 KO iPSCs. The file name is: Sample name _overall sample number_read direction_001 where:- PPs-WT-Rep1: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 1.- PPs-WT-Rep2: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 2.- PPs-WT-Rep3: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 3.- PPs-KO-Rep1: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 1.- PPs-KO-Rep2: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 2.- PPs-KO-Rep3: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 3.- EPs-WT-Rep1: endocrine progenitors (EPs) derived from WT-iPSCs, replicate 1.- EPs-WT-Rep2: endocrine progenitors (EPs) derived from WT-iPSCs, replicate 2.- PPs-KO-Rep1: endocrine progenitors (EPs) derived from RFX6 KO iPSCs, replicate 1.- PPs-KO-Rep2: endocrine progenitors (EPs) derived from RFX6 KO iPSCs, replicate 2.- Read direction: R1 (Forward), R2 (Reverse).
Authors
- Aldous, Noura ;
- Elsayed, Ahmed Kamel ;
- Memon, Bushra ;
- Ijaz, Sadaf ;
- Hayat, Sikander ;
- Abdelalim, Essam M.
Project manager(s): Essam M. Abdelalim (Sidra Medicine, Qatar)Wild type iPSCs (WT-iPSCs) generated and fully characterized in our laboratory were used for RFX6 knockout iPSCs (RFX6 KO iPSCs) generation. WT-iPSCs and RFX6 KO iPSCs were differentiated into pancreatic islet cells to uncover RFX6’s role during pancreatic islet development. The dataset represents RNA-seq data generated from pancreatic progenitors (PPs) and endocrine progenitors (EPs) derived from WT-iPSCs and RFX6 KO iPSCs. The file name is: Sample name _overall sample number_read direction_001 where:- PPs-WT-Rep1: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 1.- PPs-WT-Rep2: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 2.- PPs-WT-Rep3: pancreatic progenitors (PPs) derived from WT-iPSCs, replicate 3.- PPs-KO-Rep1: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 1.- PPs-KO-Rep2: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 2.- PPs-KO-Rep3: pancreatic progenitors (PPs) derived from RFX6 KO iPSCs, replicate 3.- EPs-WT-Rep1: endocrine progenitors (EPs) derived from WT-iPSCs, replicate 1.- EPs-WT-Rep2: endocrine progenitors (EPs) derived from WT-iPSCs, replicate 2.- PPs-KO-Rep1: endocrine progenitors (EPs) derived from RFX6 KO iPSCs, replicate 1.- PPs-KO-Rep2: endocrine progenitors (EPs) derived from RFX6 KO iPSCs, replicate 2.- Read direction: R1 (Forward), R2 (Reverse).
Authors
- Aldous, Noura ;
- Elsayed, Ahmed Kamel ;
- Memon, Bushra ;
- Ijaz, Sadaf ;
- Hayat, Sikander ;
- Abdelalim, Essam M.