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. 2024 Oct 15:15:1437570.
doi: 10.3389/fimmu.2024.1437570. eCollection 2024.

Bibliometric and visualized analysis on global trends and hotspots of TAK1 in regulated cell death: 1999 to 2024

Kun Huang #  1   2 , Ye He #  1   3 , Hao Wan  1 , Xiao-Xia Ban  1 , Xin-Yu Chen  1 , Xi-Min Hu  1 , Xin-Xing Wan  4 , Rui Lu  5 , Qi Zhang  1   6   7 , Kun Xiong  1   7   8
Affiliations

Bibliometric and visualized analysis on global trends and hotspots of TAK1 in regulated cell death: 1999 to 2024

Kun Huang et al. Front Immunol. .

Abstract

Background: Regulated cell death (RCD) is a genetically controlled form of cell death that plays an important role in organogenesis, tissue remodeling, and pathogenesis of cancers. Transforming growth factor-beta-activation kinase 1 (TAK1) is a member of the serine/threonine protein kinase family, which can respond to internal and external stimuli and participate in inflammatory responses through multiple signaling pathways and cellular processes. In the last two decades, the regulatory roles of TAK1 at the crossroads of multiple RCD pathways, including apoptosis, necroptosis, pyroptosis, and PANoptosis were revealed by 801 articles retrieved from the Web of Science Core Collection database. To analyze global research trends and hotspots concerning the role of TAK1 in RCD, the bibliometric and visualized analysis were applied in the current study.

Methods: The data for this bibliometrics study were retrieved from the Web of Science Core Collection database. The search formula was (TS=(Apoptosis) OR TS=(pyroptosis) OR TS=(Necroptosis) OR TS=(PANoptosis) OR TS=(Autophagy) OR TS=(Ferroptosis) OR TS=(cuproptosis)) AND ((TS=(TAK1)) OR TS=(MAP3K7)). The co-occurrence and co-cited analysis on basic bibliometric parameters were conducted by VOSviewer. The dual-map overlay of journals, citation bursts, keyword timelines, and keyword bursts were analyzed by CiteSpace.

Results: A total of 801 articles from 46 countries have been included in the analysis. The number of publications demonstrates a consistent increase from 1999 to 2024. The primary research institutions driving this field are Osaka University Notably, the Journal of Biological Chemistry stands out as the most popular journal in this domain. These publications collectively involve contributions from 4663 authors, with Jun Tsuji emerging as a prolific author. Jun Tsuji also gains the highest co-citation frequency. Emerging research hotspots are encapsulated by keywords, including apoptosis, NF-κB, inflammation, autophagy, and TNFα.

Conclusion: This is the first bibliometric and visualized study to analyze the global trends and hotspots of TAK1 in RCD. Based on the analysis of 801 articles, the results provide a retrospective and comprehensive visualized view of the research hotspots and frontiers of TAK1 at the crossroads of multiple RCD signaling pathways and propose ideas for guiding their future investigations in molecular mechanisms and therapeutic strategies in this field.

Keywords: CiteSpace; PANoptosis; TAK1; VOSviewer; bibliometric analysis; cancer; necroptosis; regulated cell death.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer GY declared a shared affiliation, with no collaboration, with one of the authors, RL, to the handling editor at the time of the review.

Figures

Figure 1
Figure 1
The flowchart of data collection and processing.
Figure 2
Figure 2
Number of publications on TAK1 in the field of RCD by year.
Figure 3
Figure 3
Distribution of publications from different countries/regions and organizations. (A) Distribution of publications from different countries/regions. (B) Distribution of publications from different organizations. The thickness of the connecting lines between the nodes reflects the strength of the interaction. The color of the node represents the average year of publication for the country which the node represents.
Figure 4
Figure 4
The map of co-authors and collaborative network. (A) The co-occurrence author’ map of co-authors in VOSviewer. (B) Analysis of collaborative network visualization of authors’ citations. The thickness of the connecting lines between the nodes reflects the strength of the interaction. The color of the node represents the average year of publication for the country which the node represents.
Figure 5
Figure 5
The dual-map overlay of journals of TAK1 in RCD field. The left half is the distribution of the subjects to which the citing journals belong, representing the current state of research. The right half is the clusters of cited journals, representing the research base. The wave curve shows the relationship between the current state of research and the research base, and the size of the circle indicates the number of articles published in each subject.
Figure 6
Figure 6
Top 20 references with the strongest citation bursts.
Figure 7
Figure 7
The network visualization map of keywords. The thickness of the connecting lines between the nodes reflects the strength of the interaction. The color of the node represents the average year of publication for the country which the node represents.
Figure 8
Figure 8
Timeline view of keywords analysis. On the timeline, the blue portion indicates when the literature was published, and the red portion indicates the period of the citation burst.
Figure 9
Figure 9
Top 15 keywords with the strongest citation bursts.
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