Marady Hun

and 10 more

Abstract 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.