Open Access
Open access
volume 12 issue 1 publication number 51

Knowledge mapping and visualization of current sarcopenia and cancer research: a bibliometric analysis

Publication typeJournal Article
Publication date2023-05-22
scimago Q2
wos Q2
SJR0.504
CiteScore4.9
Impact factor2.6
ISSN23148535, 23148543
Medicine (miscellaneous)
Pharmaceutical Science
Agricultural and Biological Sciences (miscellaneous)
Abstract
Background

Cancer survivors face broad challenges in weight loss due to multiple factors. Sarcopenia prevalence among cancer survivors has a wide range and is associated with worse outcomes. Sarcopenia and cancer attract global attention. The use of bibliometrics analysis in this area of interest still needs to be identified. This study was performed to assess the global trends and patterns of sarcopenia and cancer-related scientific publications.

Methods

Web of Science (WOS) and articles indexed in Science Citation Index Expanded. VOS viewer (Leiden University, Leiden, Netherlands) and R-studio using bibliometrics and R package were used for quantitative analysis of the dataset (year of publications, number of publications, institutes, journals, total citations, H-index status, authors, hotspots of institutes, Keywords, research area, and funding sponsor.

Results

Our analysis extracted 384 publications from 172 journals written by 2525 authors from the Institute for Web of Science Core Collection database. Overall, 384 articles from the WOS database met the inclusion criteria. The number of published papers has risen since 2014. The results showed that Japan, China and the USA contributed the most to this field. Moreover, our results recognized future research trends and the current condition of sarcopenia and cancer research based on the top 10 most cited articles and the keyword analysis. Finally, the leading author's analysis demonstrated that Shen Xian from Wenzhou Medical University, China, Baracos and Vickie E from the University of Alberta, Switzerland, were the most productive, active, and influential authors.

Conclusion

Our study demonstrates a comprehensive and objective overview of the up-to-date status of sarcopenia and cancer research. These data would benefit scholars who need information on sarcopenia and cancer research. It would be a reference guide for researchers wanting to conduct additional studies related to the topic.

Found 
Found 

Top-30

Journals

1
Food Science and Nutrition
1 publication, 16.67%
Pharmacological Research - Modern Chinese Medicine
1 publication, 16.67%
International Entrepreneurship and Management Journal
1 publication, 16.67%
Journal of Ecology and Environment
1 publication, 16.67%
Discover Oncology
1 publication, 16.67%
1

Publishers

1
2
Springer Nature
2 publications, 33.33%
Wiley
1 publication, 16.67%
Elsevier
1 publication, 16.67%
The Ecological Society of Korea
1 publication, 16.67%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

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GOST Copy
Mohammed M. et al. Knowledge mapping and visualization of current sarcopenia and cancer research: a bibliometric analysis // Beni-Suef University Journal of Basic and Applied Sciences. 2023. Vol. 12. No. 1. 51
GOST all authors (up to 50) Copy
Mohammed M., Li J. Knowledge mapping and visualization of current sarcopenia and cancer research: a bibliometric analysis // Beni-Suef University Journal of Basic and Applied Sciences. 2023. Vol. 12. No. 1. 51
RIS |
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RIS Copy
TY - JOUR
DO - 10.1186/s43088-023-00386-5
UR - https://doi.org/10.1186/s43088-023-00386-5
TI - Knowledge mapping and visualization of current sarcopenia and cancer research: a bibliometric analysis
T2 - Beni-Suef University Journal of Basic and Applied Sciences
AU - Mohammed, Marwa
AU - Li, Jianan
PY - 2023
DA - 2023/05/22
PB - Springer Nature
IS - 1
VL - 12
SN - 2314-8535
SN - 2314-8543
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Mohammed,
author = {Marwa Mohammed and Jianan Li},
title = {Knowledge mapping and visualization of current sarcopenia and cancer research: a bibliometric analysis},
journal = {Beni-Suef University Journal of Basic and Applied Sciences},
year = {2023},
volume = {12},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1186/s43088-023-00386-5},
number = {1},
pages = {51},
doi = {10.1186/s43088-023-00386-5}
}