Identification of HLA-E Binding Mycobacterium tuberculosis–Derived Epitopes through Improved Prediction Models is a research paper published in The Journal of Immunology (2022). On theSindex it has a DataRank of 0.457. It has been cited 20 times.
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Base Score Contribution
0.457
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →HHS | NIH | National Institute of Allergy and Infectious Diseases
Grant: R21AI127133
HHS | NIH | National Institute of Allergy and Infectious Diseases
Grant: R01AI141315
H2020
Grant: 707404
LEaDing Fellows
H2020
Grant: 793027
Investigation of a novel immune cell type in Tuberculosis: characterization of the specificity, function and pathogen killing ability of T cells restricted by non-classical HLA-E molecules
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Grant: 91116004
National Institutes of Health
Grant: 5R01AI141315-04
HLA-E restricted T-cell immunity in Mycobacterium tuberculosis infection
National Institutes of Health
Grant: 5R21AI127133-02
In depth characterization of Mtb specific HLA-E restricted human CD8+ T-cells
FWCI
1.57
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals