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Knowledge domain, research hotspots and frontiers in physiology teaching reforms from 2012 to 2021: A bibliometric and knowledge-map analysis.

作者信息

Xu Jia, Sun Shimeng, Zhao Yadong, Ma Qing

机构信息

Department of Physiology and Pharmacology, NBU Health Science Center, Ningbo University, Ningbo, Zhejiang, China.

The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

出版信息

Front Med (Lausanne). 2023 Mar 20;10:1031713. doi: 10.3389/fmed.2023.1031713. eCollection 2023.


DOI:10.3389/fmed.2023.1031713
PMID:37020677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10067749/
Abstract

OBJECTIVE: To identify author collaborations and impact; participating countries, institutions, and journals; evaluate the knowledge base; and analyze research hotspots and frontiers in teaching reforms in physiology. METHODS: Articles and reviews related to teaching reforms in physiology published between January 1, 2012, and December 31, 2021, were obtained from the Web of Science Core Collection. Two Scientometric software applications (CiteSpace 5.7 and VOSviewer 1.6.15) were used to perform bibliometric and knowledge-map analysis, generate network maps, and identify research trends and top keywords, authors, co-cited authors, institutions, countries, journals, and references. RESULTS: The search identified a total of 2,882 papers in 466 academic journals by 13,895 authors from 4,072 organizations in 67 countries/regions. Physiology teaching reform-related publications increased rapidly over time. Arango-Lasprilla and Rivera published the most papers, while Moseley had the most co-citations. Active collaborations among physiology researchers were noted. published the most papers on physiology teaching reforms and was also the top co-cited journal in the Medicine/Medical/Clinical, Psychology/Education/Health, and Neurology/Sports/Ophthalmology fields. The United States and University of California published the most physiology teaching publications in the search criteria. Ten references (research articles and reviews) on mechanisms and diseases were identified as the knowledge base. The mainstream research directions were education, Alzheimer's disease, performance, physiology, and risk factors. Mental health and emotion regulation are increasing in significance and may become new hotspots. The research trend to move from the field of pain pathogenesis to the field of neuropsychiatry has become increasingly clear. This tendency away from peripheral system-based disorders to central system-based orders is inextricably linked to further developments in physiological understanding of the brain. CONCLUSION: This study analyzed the research hot spots and frontiers of teaching reforms on in physiology using bibliometric and visual methods. Based on the results, rehabilitation, neurosciences, and infectious disease are hot topics in physiology. In particular, the pathogenesis of neurological diseases, treatment strategies, and technology updates have gradually become research hotspots. We predict that this trend is closely related to the implementation of brain research programs in various countries. These findings provide helpful references for scholars focusing on physiology education.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/60a766f2da4e/fmed-10-1031713-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/bbd99ee451b3/fmed-10-1031713-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/2e4a7b0c4a23/fmed-10-1031713-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/1b2e86bb68a8/fmed-10-1031713-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/4856a94485cf/fmed-10-1031713-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/17a8fcac74cd/fmed-10-1031713-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/a42d539d478a/fmed-10-1031713-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/9c4c8f2302f8/fmed-10-1031713-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/67048660128b/fmed-10-1031713-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/920136f43f90/fmed-10-1031713-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/60a766f2da4e/fmed-10-1031713-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/bbd99ee451b3/fmed-10-1031713-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/2e4a7b0c4a23/fmed-10-1031713-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/1b2e86bb68a8/fmed-10-1031713-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/4856a94485cf/fmed-10-1031713-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/17a8fcac74cd/fmed-10-1031713-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/a42d539d478a/fmed-10-1031713-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/9c4c8f2302f8/fmed-10-1031713-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/67048660128b/fmed-10-1031713-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/920136f43f90/fmed-10-1031713-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0d/10067749/60a766f2da4e/fmed-10-1031713-g010.jpg

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引用本文的文献

[1]
Scarcity of research on psychological or psychiatric states using validated questionnaires in low- and middle-income countries: A ChatGPT-assisted bibliometric analysis and national case study on some psychometric properties.

J Glob Health. 2023-10-2

本文引用的文献

[1]
The International Brain Initiative: collaboration in progress.

Lancet Neurol. 2021-12

[2]
Hot to touch: the story of the 2021 Nobel Prize in Physiology or Medicine.

Dis Model Mech. 2021-10-1

[3]
Worldwide Research Trends in Landslide Science.

Int J Environ Res Public Health. 2021-9-7

[4]
A Bibliometric Analysis of Pyroptosis From 2001 to 2021.

Front Immunol. 2021

[5]
Knowledge Domain and Emerging Trends in Ferroptosis Research: A Bibliometric and Knowledge-Map Analysis.

Front Oncol. 2021-6-3

[6]
Environmental influences and individual characteristics that affect learner-centered teaching practices.

PLoS One. 2021

[7]
The 2020 Nobel Prize in Physiology or Medicine.

J Med Chem. 2020-11-25

[8]
Bibliometrics Analysis of Butyrophilins as Immune Regulators [1992-2019] and Implications for Cancer Prognosis.

Front Immunol. 2020

[9]
Knowledge Mapping of Drug-Induced Liver Injury: A Scientometric Investigation (2010-2019).

Front Pharmacol. 2020-6-5

[10]
Bibliometrics and Visualization of the Mechanisms of Parkinson's Diseases Based on Animal Models.

Endocr Metab Immune Disord Drug Targets. 2020

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