There is increasing interest in employing Single-Cell Analysis
(SCA) technologies to improve the efficiency of renal disease diagnosis
and treatment. Nevertheless, comprehensive studies summarizing and
analyzing research trends in the field are lacking. There is increasing
interest in employing Single-Cell Analysis (SCA) technologies to improve
the efficiency of renal disease diagnosis and treatment. Nevertheless,
comprehensive studies summarizing and analyzing research trends in the
field are lacking. This article discusses the use of bibliometric
analysis to evaluate the progress and potential of Single-Cell Analysis
(SCA) technologies in the field of kidney disease. The study identified
1,606 articles and reviews published between 1999 and 2023, involving
11,737 authors from 2,317 institutions across 67 countries or regions.
The major contributors to SCA in kidney disease were highlighted,
including top authors, institutes, countries, and journals. Research
hotspots included molecular and pathological aspects, with disease-,
molecular-, and pathological-related keywords such as expression, EGFR,
gene-expression, activation, gene, cell, protein, mechanism, mutation,
inflammation, resistance, apoptosis, and T-cell. Key kidney-related
disease keywords included SLE, AKI, CKD, renal fibrosis, diabetic kidney
disease, nephrotic syndrome, IgA nephropathy, and kidney
transplantation. The authors note that the field of SCA in
kidney-related disease research is rapidly growing, with the potential
for further expansion. SCA technologies could provide novel diagnostic,
therapeutic, and prognostic approaches and support routine clinical
diagnosis and individualized treatment.