Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains
Most Cited Paper
in Mycobacterium research and diagnosis
18 Months Post-Publication
Class of 2026
“Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains”
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Topics
Mycobacterium tuberculosis · phenogenomic analysis · clinical isolates · genetic barcoding · competitive fitness assays · Genome-wide association study · cavitary disease · treatment failure · Rv1339 · glycerol metabolism · lineage 1.1.1.1 · terminal branch length analysis · transmission potential · host-relevant metabolic conditions · drug-sensitive strains · heritable fitness phenotypes · monogenic mutations · phylogenetically linked variants · growth regulation · deep sequencing
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Mycobacterium research and diagnosis Papers, Class of 2026. https://pri.pepkio.com/top-papers/mycobacterium-research-and-diagnosis/2026. Accessed 2026-07-29. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459