Bibliometric and visualization analysis of kidney repair associated with acute kidney injury from 2002 to 2022

Abstract

Background: Renal repair is closely related to the prognosis of acute kidney injury (AKI) and has attracted increasing attention in the research field. However, there is a lack of a comprehensive bibliometric analysis in this research area. This study aims at exploring the current status and hotspots of renal repair research in AKI from the perspective of bibliometrics.Methods: Studies published between 2002 and 2022 related to kidney repair after AKI were collected from Web of Science core collection (WoSCC) database. Bibliometric measurement and knowledge graph analysis to predict the latest research trends in the field were performed using bibliometrics software CiteSpace and VOSviewer.Results: The number of documents related to kidney repair after AKI has steadily increased over 20 years. The United States and China contribute more than 60% of documents and are the main drivers of research in this field. Harvard University is the most active academic institution that contributes the most documents. Humphreys BD and Bonventre JV are the most prolific authors and co-cited authors in the field. The American Journal of Physiology-Renal Physiology and Journal of the American Society of Nephrology are the most popular journals in the field with the greatest number of documents. “exosome”, “macrophage polarization”, “fibroblast”, and” aki-ckd transition” are high-frequency keywords in this field in recent years. Extracellular vesicles (including exosomes), macrophage polarization, cell cycle arrest, hippo pathway, and sox9 are current research hotspots and potential targets in this field.Conclusion: This is the first comprehensive bibliometric study on the knowledge structure and development trend of AKI-related renal repair research in recent years. The results of the study comprehensively summarize and identify research frontiers in AKI-related renal repair.

Exploring therapeutic mechanisms of Chuan Huang Fang-II in the treatment of acute kidney injury on chronic kidney disease patients from the perspective of lipidomics

“…Besides, CHF was shown to exert renal protective effects and inhibit fibrosis by reducing TGF-β1 and CTGF [ 5 ]. Our recently published data [ 56 ] on Rhizoma Chuanxiong and Radix et Rhizoma Rhei (rhubarb) against AKI and renal fibrosis based on network pharmacology and experimental validation demonstrated that this herbal pair might inhibit tubular epithelial cell apoptosis and improve AKI and renal fibrosis by inhibiting the p38-MAPK/p53 signaling. The triglyceride metabolic pathway and fat digestion and absorption metabolic pathway discovered in this study might become new targets for CHF-II to treat A on C, and specific research strategies will be established for the next study.…”

Bibliometric and Visualization Analysis of Biomechanical Research on Lumbar Intervertebral Disc

“…Firstly, our study focused solely on the SCI-Expanded in WoSCC database, which may have potentially excluded relevant studies, although WoSCC database is the most commonly used database in bibliometrics. [102][103][104][105] Secondly, some high-quality studies published recently may have been underestimated in our analysis due to their limited citation frequency. Finally, due to the constantly updating nature of databases, the dataset for this year is still incomplete and therefore not included in this study.…”

Bibliometric and Visualization Analysis of Research Hotspots and Frontiers in Endoscopic Lumbar Discectomy

“…65 However, even so, this study still has certain limitations. Firstly, the literature data included in this study only came from the SCI-Expanded database in the WoSCC database, which is commonly used in bibliometric research, [66][67][68] and the types and languages of literature were restricted, which may result in the omission of some literature that meets the inclusion criteria. But such operations can include more high-quality research while ensuring a sufficient amount of research data to ensure the quality of this study.…”