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. 2022 Feb 18:9:712732.
doi: 10.3389/fcell.2021.712732. eCollection 2021.

A Bibliometric Analysis Based on Web of Science: Current Perspectives and Potential Trends of SMAD7 in Oncology

Xueying Huang  1 , Zhiying Yang  1   2 , Jinning Zhang  1 , Ruojiao Wang  1 , Jiahui Fan  1 , Heng Zhang  1 , Rong Xu  1 , Xia Li  1   3 , Siying Yu  1 , Linna Long  1 , He Huang  1
Affiliations

A Bibliometric Analysis Based on Web of Science: Current Perspectives and Potential Trends of SMAD7 in Oncology

Xueying Huang et al. Front Cell Dev Biol. .

Abstract

Background: The number of publications on SMAD7 in the field of oncology is increasing rapidly with an upward tendency. In most cases, the mechanisms of carcinogenesis usually relate to disorders of signaling activity. Considering the crucial role of SMAD7 in the crosstalk of multiple signaling pathways, it is necessary to clarify and define the dominant research topics, core authors, and their cumulative research contributions, as well as the cooperative relationships among documents or researchers. Methods: Altogether, 3477 documents were retrieved from the Web of Science Core Collection with the following criteria: TS= (SMAD7 OR SMAD7-protein OR Small-Mothers-Against-Decapentaplegic-7) refined by WEB OF SCIENCE CATEGORY (ONCOLOGY) AND [excluding] PUBLICATION YEARS (2021) AND DOCUMENT TYPES (ARTICLE OR REVIEW) AND LANGUAGES (ENGLISH) AND WEB OF SCIENCE INDEX (Web of Science Core Collection, SCI), and the timespan of 2011-2020. Bibliometric visualization analysis was conducted with CiteSpace and VOSviewer. Results: The number of documents grew each year. A total of 2703 articles and 774 reviews were identified from 86 countries/regions, 3524 organizations, 928 journals, and 19,745 authors. China was the most prolific country, with 1881 documents. Contributions from China, the United States, and Germany were the most substantial. The most influential author was Lan Huiyao at The Chinese University of Hong Kong, with 24 publications and 2348 total citations. The bibliometric analysis showed that multilateral cooperation among diverse institutions or investigators was beneficial to high-quality outputs. The keyword "PPAR-gamma" exhibited the strongest burst in recent years, suggesting a potent research focus in the future. Conclusion: Research on SMAD7 in oncology is continuously developing. Bibliometrics is an interesting tool to present the characteristics of publication years, main authors, and productive organizations in a visualized way. It is worth mentioning that a prospective focus might be the specific mechanism of the interaction of PPAR-gamma with SMAD7 in oncology. In all, bibliometric analysis provides an overview and identifies potential research trends for further studies in this academic field.

Keywords: SMAD7; VOSviewer; bibliometrics; citation; citespace; oncology; visualization; web of science.

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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.

Figures

FIGURE 1
FIGURE 1
Detailed flowchart steps of the search strategy in the screening of publications.
FIGURE 2
FIGURE 2
Distribution of publications on SMAD7 in the field of oncology according to the year. Footnote: The number of publications increased gradually year by year from 2011 to 2020, and the number of publications rose relatively sharply from 2016 to 2019, then reached a peak in 2020. Linear adjustment (a): y = 85.412x-171800, r 2 = 0.9819. Exponential adjustment (b): y = 22.512e0.4066x, r 2 = 0.8125.
FIGURE 3
FIGURE 3
Analysis of cooperation among the top 10 countries/regions with the highest documents. Footnote: The circumference of each node presents its number of documents, and the proportion of the outermost ring means its centrality.
FIGURE 4
FIGURE 4
Top five countries/regions with the strongest citation bursts. Footnote: The strongest citation burst means that a variable changes greatly in a short period. Red bars indicate the duration of the burst.
FIGURE 5
FIGURE 5
Visualization graphs of co-authorship analysis of authors. (A) Overlay visualization of authors involved in studies on SMAD7 in oncology. (B) Network visualization of authors involved in studies on SMAD7 in oncology. Figure 5A Footnote: The analysis method was Linlog/modularity in VOSviewer, the weight was citations, and scores were the average publication year. The thickness of the lines indicates the strength of the relationship. The color means the average publication year. Figure 5B Footnote: The total authors were classified into 7 clusters with different colors to show several major cooperative groups.
FIGURE 6
FIGURE 6
Clustering co-occurrence map of the predominant keywords of studies on SMAD7 in oncology. Footnote: The theme words were classified into 4 clusters, presented by four colors (red, blue, green, and yellow).
FIGURE 7
FIGURE 7
Top 20 keywords with the strongest citation bursts. Footnote: The strongest citation burst means that a variable changes greatly in a short period. Red bars indicate the duration of the burst.
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