Mapping Intellectual Structure for the Long Non-Coding RNA in Hepatocellular Carcinoma Development Research

Abstract

Background: Emerging research suggests that long non-coding RNAs (lncRNAs) play an important role in a variety of developmental or physiological processes of hepatocellular carcinoma (HCC). Various differentially expressed lncRNAs have been identified in HCC. Thus, a deeper analysis of recent research concerning lncRNA and HCC development could provide scientists with a valuable reference for future studies.Methods: Related publications were retrieved from the Web of Science Core Collection database. CiteSpace version 5.6.R4 was employed to conduct bibliometric analysis. Several network maps were constructed to evaluate the collaborations between different countries, institutions, authors, journals, and keywords.Results: A total of 2,667 records were initially found from the year of 2010–2020. The annual related publications output had increased dramatically during these years. Although China was the most prolific country in terms of research publication, the United States played a leading role in collaborative network. The Nanjing Medical University was the most productive institute in the field of lncRNAs in HCC development. Gang Chen was the most prolific researcher, while Yang F was the most frequently co-cited author. Oncotarget, Cell, and Oncogene were the most highly co-cited journals. The most recent burst keywords were interaction, database, and pathway.Conclusion: This study provides a comprehensive overview for the field of lncRNAs in HCC development based on bibliometric and visualized methods. The results would provide a reference for scholars focusing on this field.

Global status and trends in hepatitis B virus DNA mutation research from 2003 to 2022: A comprehensive bibliometric view

“…Centrality was a critical parameter for measuring the value of a given node in a network. High centrality (≥0.1) in the network aided in identifying researchers and institutions with high academic performance as well as their relationships with fellow researchers 10 . Burst keywords indicated particular attention for a given topic from a research community in a certain field and were considered indicators of emerging trends in this study 11 .…”

“…High centrality (≥0.1) in the network aided in identifying researchers and institutions with high academic performance as well as their relationships with fellow researchers. 10 Burst keywords indicated particular attention for a given topic from a research community in a certain field and were considered indicators of emerging trends in this study. 11 CiteSpace provided modularity Q and silhouette based on network structure and cluster clarity, which could serve as the basis for evaluating the effectiveness of graph visualization.…”

Global trends and hotspots in research of robotic surgery in oncology: A bibliometric and visual analysis from 2002 to 2021

“…A "keyword burst" refers to the sudden increase in the frequency of keywords in a short time. By analyzing the burst keywords, we can judge the research hotspots and frontiers in this field (66,67). The top 25 keywords with the strongest citation bursts were detected by setting the minimum duration of the burst to 3 years (Figure 12).…”

Knowledge mapping of MIRNA in hepatocellular carcinoma from 2012-2022:a bibliometric analysis

“…To the best of our knowledge, bibliometrics can identify the most active research frontiers and trends in each eld [18] . In recent bibliometric studies, researchers have identi ed hot spots in HCC immunotherapy and trends in lncRNA development and application in HCC [19][20] . Therefore, this study compares the relevant literature on HCC and miRNA research from 2012 to 2022, to reveal the research hotspots and trends in this eld and provide valuable references for the subsequent research directions.…”