Psychedelics, as a class of potent psychoactive substances, significantly alter sensory perception and mood, thereby profoundly impacting cognition. Increasing evidence indicates that psychedelics can facilitate individual social function and rapidly and sustainably improve symptoms of moderate and severe depression. The growing interest in psychedelics as potential treatments for depression has led to a substantial increase in related publications; however, the overall quantity and quality of these works remain unclear. To address this issue, we conducted a bibliometric analysis of literature on psychedelic drugs for depression published between 2004 and October 2023. Our study meticulously collected 710 publications, allowing for a comprehensive analysis of bibliographic elements such as annual publication trends, authorship, country of origin, institutional affiliations, journals, and keywords. By visualizing trends, emerging frontiers, popular topics, author collaborations, and influential factors in the field of psychedelics for depression, we have enhanced our understanding of advancements in this area. On this basis, we assert that the regulation of psychedelic drugs is necessary, but it should not hinder the scientific research progress.
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http://dx.doi.org/10.1016/j.heliyon.2024.e36886 | DOI Listing |
Front Surg
January 2025
Department of Orthopedic, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Background: Human brucellosis is the most common bacterial zoonosis worldwide, with brucella spondylitis (BS) being one of its most severe forms, potentially leading to spinal deformity or paralysis. This study aims to provide a comprehensive overview of the current status and research trends in the BS field using bibliometric methods.
Methods: Publications on BS from January 1, 1980, to March 24, 2024, were retrieved from the Web of Science database.
Cureus
December 2024
Department of Anesthesiology, Tata Main Hospital, Jamshedpur, IND.
Thromboelastography (TEG) has evolved from a primarily surgical tool to a key instrument in broader medical fields, including personalized medicine for coagulopathies. The rationale for conducting this bibliometric analysis of TEG is to understand the evolution and current state of research in this critical field. By identifying publication trends, key contributors, and major developments, this study aims to provide valuable insights to guide future research and clinical practices in TEG.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Department of Pediatrics, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Background: The glomerular podocyte endoplasmic reticulum is a critical component in renal function, yet its research landscape is not fully understood. This study aims to map the existing research on podocyte endoplasmic reticulum by analyzing publications in the Web of Science Core Collection (WOSCC) from the past 19 years.
Methods: We conducted a bibliometric analysis using Citespace, VOSviewer, the Metrology Literature Online platform, and the Bibliometrix software package to visualize and interpret the data from WOSCC.
Front Pharmacol
January 2025
Department of Pharmacy, The First People's Hospital of Shuangliu District, West China (Airport) Hospital of Sichuan University, Chengdu, China.
Objective: To explore the current research status and trends of potassium-competitive acid blockers (P-CABs) in the treatment of acid related diseases (ARDs) using bibliometric analysis.
Materials And Methods: We collected publications related to P-CAB in the treatment of acid-related diseases in the Web of Science (WOS) Core Collection from the establishment of the database to 30 June 2024. We evaluated the publication volume and citation status over the years using the WOS platform, and visualized the authors, countries, institutions, keywords, and citations of the publications using CiteSpace and VOSviewer.
Front Oncol
January 2025
Department of Nursing, Jinjiang Municipal Hospital, Quanzhou, China.
Objective: To use bibliometric methods to analyze the prospects and development trends of artificial intelligence(AI) in oncology nursing from 1994 to 2024, providing guidance and reference for oncology nursing professionals and researchers.
Methods: The core set of the Web of Science database was searched for articles from 1994 to 2024. The R package "Bibliometrix" was used to analyze the main bibliometric features, creating a three-domain chart to display relationships among institutions, countries, and keywords.
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