A protocol to analyze single-cell RNA-seq data from Mycobacterium tuberculosis-infected mice lung is a research paper published in STAR Protocols (2023). On theSindex it has a DataRank of 0. It has been cited 4 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: AI111914
National Institutes of Health
Grant: AI123780
National Institutes of Health
Grant: AI134236
National Institutes of Health
Grant: AI155024
National Institutes of Health
Grant: HL105427
NIAID NIH HHS
Grant: R01 AI123780
NIAID NIH HHS
Grant: R01 AI111914
NHLBI NIH HHS
Grant: R01 HL105427
NIAID NIH HHS
Grant: R01 AI155024
NIAID NIH HHS
Grant: R01 AI134236
National Institutes of Health
Grant: 7R01HL105427-11
Role of IL-17 in Protective Vaccine-induced Immune Responses Against Tuberculosis
National Institutes of Health
Grant: 1R01AI134236-01
The Role of Group 3 Innate Lymphoid cells (ILC3) in Tuberculosis
National Institutes of Health
Grant: 5R01AI111914-10
Role of Inducible Bronchus Associated Lymphoid Tissue in Latent Tuberculosis
National Institutes of Health
Grant: 5R01AI123780-04
COMMON IMMUNE CORRELATES OF RISK OF TB DISEASE IN ANIMAL MODELS AND HUMANS
National Institutes of Health
Grant: 7R01AI155024-04
Understanding the functional role of Myeloid Derived Suppressor cells in tuberculosis
University of Chicago
FWCI
0.37
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals