Automated Author ProfileChua, Robert Lorenz
Chua, Robert Lorenz
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: 21.5 (sum of 27 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset comprises single-cell RNA-Seq data of nasopharyngeal samples of adults 6-month post SARS-CoV-2 infection (n=15) with and without
remaining respiratory symptoms (n=6 and 9, respectively).
An in-depth description is presented in the manuscript "DNA Methylation
Changes During Acute COVID-19 are Associated with Long-Term
Transcriptional Dysregulation in Patients’ Airway Epithelial Cells".
Authors
- Trump, Saskia ;
- Messingschlager, Marey ;
- Mackowiak, Sebastian D. ;
- Völker, Maria Theresa ;
- Bieg, Matthias ;
- Loske, Jennifer ;
- Chua, Robert Lorenz ;
- Liebig, Johannes ;
- Lukassen, Sören ;
- Thürmann, Loreen ;
- Seegebarth, Anke ;
- Twardziok, Sven ;
- Doncevic, Daria ;
- Herrmann, Carl ;
- Lorenz, Stephan ;
- Klages, Sven ;
- Steinbeis, Fridolin ;
- Witzenrath, Martin ;
- Kurth, Florian ;
- Conrad, Christian ;
- Sander, Leif-Erik ;
- Ishaque, Naveed ;
- Eils, Roland ;
- Lehmann, Irina ;
- Laudi, Sven
This dataset comprises single-cell RNA-Seq data of nasopharyngeal samples of adults 6-month post SARS-CoV-2 infection (n=15) with and without
remaining respiratory symptoms (n=6 and 9, respectively).
An in-depth description is presented in the manuscript "DNA Methylation
Changes During Acute COVID-19 are Associated with Long-Term
Transcriptional Dysregulation in Patients’ Airway Epithelial Cells".
Authors
- Trump, Saskia ;
- Messingschlager, Marey ;
- Mackowiak, Sebastian D. ;
- Völker, Maria Theresa ;
- Bieg, Matthias ;
- Loske, Jennifer ;
- Chua, Robert Lorenz ;
- Liebig, Johannes ;
- Lukassen, Sören ;
- Thürmann, Loreen ;
- Seegebarth, Anke ;
- Twardziok, Sven ;
- Doncevic, Daria ;
- Herrmann, Carl ;
- Lorenz, Stephan ;
- Klages, Sven ;
- Steinbeis, Fridolin ;
- Witzenrath, Martin ;
- Kurth, Florian ;
- Conrad, Christian ;
- Sander, Leif-Erik ;
- Ishaque, Naveed ;
- Eils, Roland ;
- Lehmann, Irina ;
- Laudi, Sven
Count Matrix Olfactory Dataset
Authors
- Chua, Robert Lorenz
Metadata Medulla Dataset
Authors
- Chua, Robert Lorenz
Cell IDs Medulla Dataset
Authors
- Chua, Robert Lorenz
Cell IDs Medulla Dataset
Authors
- Chua, Robert Lorenz
Genelist Medulla Dataset
Authors
- Chua, Robert Lorenz
Genelist Medulla Dataset
Authors
- Chua, Robert Lorenz
single-cell RNA-seq object (Seurat)
Authors
- Chua, Robert Lorenz