Literature DB >> 33791388

Trends in the Use of Sphingosine 1 Phosphate in Age-Related Diseases: A Scientometric Research Study (1992-2020).

Qiong He1, Gaofeng Ding2, Mengyuan Zhang3, Peng Nie4, Jing Yang1, Dong Liang1, Jiaqi Bo2, Yi Zhang5,6, Yunfeng Liu1.   

Abstract

OBJECTIVES: This study was designed to explore the intellectual landscape of research into the application of sphingosine 1 phosphate (S1P) in age-related diseases and to identify thematic development trends and research frontiers in this area.
METHODS: Scientometric research was conducted by analyzing bibliographic records retrieved from the Web of Science (WOS) Sci-Expanded Database dated between 1900 and 2020. Countries, institutions, authors, keyword occurrence analysis, and cooperation network analysis were performed using the CiteSpace and VOSviewer software.
RESULTS: A total of 348 valid records were included in the final dataset, and the number of publications and the frequency of citations have grown rapidly over the last ten years. The USA (n = 175), China (n = 42), and Germany (n = 37) were the three largest contributors to the global publications on S1P and aging, while the Medical University of South Carolina (n = 15), University of California, San Francisco (n = 13), and University of Toronto (n = 13) were the leading institutions in this field. Analysis showed that early studies primarily focused on the mechanism of S1P intervention in AD. While S1P and its relevant metabolites have remained a long-term active area of research, recent studies have focused more on interventions aimed at improving retinal degeneration, cardiomyopathy, multiple sclerosis, and diabetes, among others.
CONCLUSIONS: It is worth mentioning that this manuscript is the first to describe any bibliometric analysis of S1P and its application in age-related interventions. This study includes a discussion of the (1) historical overview of the topic; (2) main contributors: journals, countries, institutes, funding agencies, and authors; (3) collaboration between institutes and authors; (4) research hot spots and zones; and 5) research trends and frontiers. This will enable scholars to understand the current status of S1P research in age-related diseases.
Copyright © 2021 Qiong He et al.

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Year:  2021        PMID: 33791388      PMCID: PMC7984909          DOI: 10.1155/2021/4932974

Source DB:  PubMed          Journal:  J Diabetes Res            Impact factor:   4.011


  34 in total

1.  Ceramide and apoptosis.

Authors:  R Kolesnick; Y A Hannun
Journal:  Trends Biochem Sci       Date:  1999-06       Impact factor: 13.807

2.  The state of h index research. Is the h index the ideal way to measure research performance?

Authors:  Lutz Bornmann; Hans-Dieter Daniel
Journal:  EMBO Rep       Date:  2008-12-12       Impact factor: 8.807

3.  Impact factors and the h-index: what researchers and readers need to know.

Authors:  Susan Balandin; Roger J Stancliffe
Journal:  Augment Altern Commun       Date:  2009-03       Impact factor: 2.214

Review 4.  Sphingolipid metabolism in cancer signalling and therapy.

Authors:  Besim Ogretmen
Journal:  Nat Rev Cancer       Date:  2017-11-17       Impact factor: 60.716

5.  S1P promotes inflammation-induced tube formation by HLECs via the S1PR1/NF-κB pathway.

Authors:  Zhi Zheng; Yong-Zhi Zeng; Kun Ren; Xiao Zhu; Ying Tan; Yi Li; Qian Li; Guang-Hui Yi
Journal:  Int Immunopharmacol       Date:  2018-11-23       Impact factor: 4.932

6.  Accumulation of Cholesterol and Homocysteine in the Nigrostriatal Pathway of Brain Contributes to the Dopaminergic Neurodegeneration in Mice.

Authors:  Rajib Paul; Ankumoni Dutta; Banashree Chetia Phukan; Muhammed Khairujjaman Mazumder; Arokiasamy Justin-Thenmozhi; Thamilarasan Manivasagam; Pallab Bhattacharya; Anupom Borah
Journal:  Neuroscience       Date:  2018-08-01       Impact factor: 3.590

Review 7.  Sphingolipids in neurodegeneration (with focus on ceramide and S1P).

Authors:  Guanghu Wang; Erhard Bieberich
Journal:  Adv Biol Regul       Date:  2018-09-22

Review 8.  Energy metabolism of white adipose tissue and insulin resistance in humans.

Authors:  Kálmán Bódis; Michael Roden
Journal:  Eur J Clin Invest       Date:  2018-09-26       Impact factor: 4.686

9.  A theoretical model of the relationship between the h-index and other simple citation indicators.

Authors:  Lucio Bertoli-Barsotti; Tommaso Lando
Journal:  Scientometrics       Date:  2017-03-20       Impact factor: 3.238

Review 10.  Sphingosine 1-Phosphate and Atherosclerosis.

Authors:  Makoto Kurano; Yutaka Yatomi
Journal:  J Atheroscler Thromb       Date:  2017-07-20       Impact factor: 4.928

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