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. 2023 Mar 6:14:1144747.
doi: 10.3389/fendo.2023.1144747. eCollection 2023.

Studies related to osteosarcoma and metabolism from 1990 to 2022: A visual analysis and bibliometric study

Zhuce Shao  1 , Shuxiong Bi  1
Affiliations

Studies related to osteosarcoma and metabolism from 1990 to 2022: A visual analysis and bibliometric study

Zhuce Shao et al. Front Endocrinol (Lausanne). .

Abstract

Background: Osteosarcoma is the most common primary bone tumor, its high incidence of metastasis and poor prognosis have led to a great deal of concern for osteosarcoma. In many cancer types, metabolic processes are important for tumor growth progression, so interfering with the metabolic processes of osteosarcoma may be a therapeutic option to stall osteosarcoma progression. A key mechanism of how metabolic processes contribute to the growth and survival of various cancers, including osteosarcoma, is their ability to support tumor cell metabolism. Research related to this field is a direction of great importance and potential. However, to our knowledge, no bibliometric studies related to this field have been published, and we will fill this research gap.

Methods: Publications were retrieved on January 1, 2023 from the 1990-2022 Science Citation Index of the Web of Science Core Collection. The Bibliometrix package in R software, VOSviewer and CiteSpace software were used to analyze our research directions and to visualize global trends and hotspots in osteosarcoma and metabolism related research.

Results: Based on the search strategy, 833 articles were finally filtered. In this area of research related to osteosarcoma metabolism, we found that China, the United States and Japan are the top 3 countries in terms of number of articles published, and the journals and institutions that have published the most research in this area are Journal of bone and mineral research, Shanghai Jiao Tong University. In addition, Baldini, Nicola, Reddy, Gs and Avnet, Sofia are the top three authors in terms of number of articles published in studies related to this field. The most popular keywords related to the field in the last 30 years are "metabolism" and "expression", which will guide the possible future directions of the field.

Conclusion: We used Bibliometrix, VOSviewer, and Citespace to visualize and bibliometrically analyze the current status and possible future hotspots of research in the field of osteosarcoma metabolism. Possible future hotspots in this field may focus on the related terms "metabolism", "expression", and "migraation".

Keywords: bibliometrics; metabolism; osteosarcoma; trends; visualized study.

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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
Diagram of the process of screening literature.
Figure 2
Figure 2
Trends in the number of articles published over time in the field of osteosarcoma metabolism.
Figure 3
Figure 3
Trends and H-index of the top 10 journals in terms of number of articles published. (A, B) shows the H-index of the journals in this field, and the trend of the number of articles published in the journals in this field over time, respectively.
Figure 4
Figure 4
Collaboration chart of authors in the field (they have published more than 3 studies in the field). (A-C) are the connection network among authors, the graph of authors’ hotness over time, and the graph of authors’ density, respectively.
Figure 5
Figure 5
Global partnerships between institutions in the field of osteosarcoma metabolism. (A-C) are the network of connections between institutions, the graph of author’s hotness over time, and the graph of author’s density, respectively.
Figure 6
Figure 6
National and regional collaborations in the field of osteosarcoma metabolism. (A-C) are the network of connections between countries or regions, the graph of author’s hotness over time, and the graph of author’s density, respectively.
Figure 7
Figure 7
National and regional collaborations in the field of osteosarcoma metabolism as shown by the Bibliometrix package using R language software.
Figure 8
Figure 8
Analysis of keywords in the field of osteosarcoma metabolism research. (A-D) are the keyword percentage, keyword trend graph over time, keyword hotness and intensity, and keyword tree graph, respectively.
Figure 9
Figure 9
Collaborative network diagram of keywords in the field of osteosarcoma metabolism research. (A-C) are the connection network among keywords, the graph of keywords’ hotness over time, and the graph of keywords’ density, respectively.
Figure 10
Figure 10
The top 25 highest intensity of keywords in the field of osteosarcoma metabolism research, i.e. outbreak words.
See this image and copyright information in PMC

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