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. 2024 Sep 27;15(1):481.
doi: 10.1007/s12672-024-01377-3.

Bibliometric analysis of endoplasmic reticulum stress in hepatocellular carcinoma: trends and future directions

Yaping Zhang  1 , Yinting Tian  2 , Zheyuan Wang  2 , Yawu Zhang  2 , Gennian Wang  3
Affiliations

Bibliometric analysis of endoplasmic reticulum stress in hepatocellular carcinoma: trends and future directions

Yaping Zhang et al. Discov Oncol. .

Abstract

Background: Over the past three decades, endoplasmic reticulum (ER) stress has gained considerable attention in the field of hepatocellular carcinoma (HCC) with an increasing number of publications. It is crucial to reveal the global status, research hotspots and future research trends of ER stress in HCC. The aim of this study is to analyze the publications related to ER stress in HCC through bibliometric analysis in order to better understand the current status of ER stress research in HCC and to identify potential new research directions.

Methods: In this study, articles and reviews on ER stress in HCC up to December 31, 2023 were searched and downloaded from the Science Citation Index-Expanded (SCIE) of the Web of Science Core Collection (WoSCC), Pubmed, Scopus and Embase databases. Using CiteSpace 6.2.R6, VOSviewer 1.6.19, Scimago Graphica and Microsoft Office Excel 2019, the knowledge networks of a variety of countries, regions, authors, references, keywords and journals were analyzed.

Results: A total of 1239 publications were retrieved, including 843 articles and 396 review articles. The number of global publications is increasing every year, with the majority of publications coming from China and the USA. Ih-Jen Su, Wenya Huang and Wei Wei are the top 3 prolific authors. "Progression", "inflammation", "cell cycle arrest", "metabolism", "snsignaling pathways", "pathogenesis" and "non-alcoholic fatty liver disease" have emerged as research hotspots in recent years. The journal with the greatest co-citation is Hepatology.

Conclusions: Based on current global trends, the total number of publications on ER stress in HCC research will continue to increase, but there is a need for more cooperation between authors and countries/regions. ER stress in HCC will continue to be a research priority.

Conclusions: Based on current global trends, the total number of publications on ER stress in HCC research will continue to increase, but there is a need for more cooperation between authors and countries/regions. ER stress in HCC will continue to be a research priority.

Keywords: Bibliometrics; Endoplasmic reticulum; Hepatocellular carcinoma; Research trends; Stress.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The flowchart of data selection and analysis process
Fig. 2
Fig. 2
The annual publication trend of ER stress in HCC
Fig. 3
Fig. 3
The network map of worldwide spread and collaboration of ER stress in HCC research. A The global geographical distribution of publications. B An overlay map of publications in different countries/regions. C A map overlay displaying the distribution of published citations across various countries/regions. Countries/regions are represented by nodes, and the strength of collaboration between different countries is indicated by the thickness of the lines. The larger the node is, the more papers that are published. The colors vary from blue (representing the lowest score) to green and finally to yellow (indicating the highest score)
Fig. 4
Fig. 4
The network map of institutions of ER stress in HCC research. A A network map of institutions engaged in ER stress in HCC. Different colors represent different clusters. B An overlay map of publications in different institutions. Institutions are represented by nodes and the strength of collaboration between different countries/regions is indicated by the thickness of the lines. The larger the node is, the more publications there are. The colors vary from blue (representing the lowest score) to green and finally to yellow (indicating the highest score)
Fig. 5
Fig. 5
Analysis of co-authorship of authors. A The network map of co-authorship of authors. Different colors represent different clusters. B An density map of co-authorship of authors. C An overlay map of co-authorship of authors over year. D An overlay map of frequency of citations of authors. The authors are symbolized by the nodes, and the strength of the connections between different authors indicates the level of their collaboration. The larger the node is, the more papers that are published. The colors vary from blue (representing the lowest score) to green and finally to yellow (indicating the highest score)
Fig. 6
Fig. 6
Analysis of Co-cited references. A VOSviewer generates a network map of co-cited references. The nodes symbolize co-cited sources, while the thickness of the lines connecting distinct references indicates the strength of their relationship. The larger the node is, the more frequently the reference is cited. Different colors represent different clusters. B The top 25 references exhibiting the most significant citation bursts as identified by CiteSpace. Strength is a measure of the strength of citation bursts, and it is proportional to the number of bursts. The reference was published is indicated by the blue bars, while the red bars indicate citation burstness
Fig. 7
Fig. 7
Analysis of the co-occurrence of keywords. A VOSviewer generates an overlay network map of keywords that have at least 10 co-occurrences. Keywords are symbolized by nodes, and the strength of the connections between different keywords is depicted by the thickness of the lines. The colors vary from blue (representing the lowest score) to green and finally to yellow (indicating the highest score). B The top 25 keywords exhibiting the most significant citation bursts as identified by CiteSpace. Strength is a measure of the strength of citation bursts, and it is proportional to the number of bursts. Keyword occurrence is represented by the blue bars, while citation burstness is represented by the red bars
Fig. 8
Fig. 8
The analysis of co-cited journals. A A diagram displaying the interconnections between journals that are frequently cited together. The citations of publications in various journals are represented by the nodes, while the strength of the connections between different journals is indicated by the width of the lines. Different colors represent different clusters. B Density visualization of co-cited journals. The color at each point indicates the density of citations of the journal. The colors vary from blue (representing the lowest score) to green and finally to yellow (indicating the highest score)
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