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血管阻力全球研究趋势：文献计量学分析
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Abstract:
背景：血管阻力(VR)指的是血液在流经血管过程中所遇到的阻力。这是一种在正常血液循环和心脏功能中发挥关键作用的生理现象。然而，异常的血管阻力是多种循环系统疾病和心血管病理状态的基础。尽管近年来对血管阻力展开了广泛研究，但迄今为止尚未有相关的文献计量分析。本研究旨在阐明血管阻力研究的发展趋势和新兴焦点，为未来的研究以及基于证据的决策提供指导。方法：所有相关文献均从Web of Science核心合集(WoSCC)数据库中获取。采用HistCite、CiteSpace和VOSviewer对文献进行计量分析和可视化处理。结果：本研究的主要学科领域为“生物学与医学”。共纳入6645篇与“血管阻力”相关的英文文献，年度发表数量呈现稳定趋势。美国在发表文献数量和引用量上均位居第一。产出最多的机构、期刊和作者分别为Mayo Clinic、Pulmonary Circulation和Marc Humbert；而引用量最高的期刊和作者则分别为International Journal of Cardiology和Simonneau，Gerald。伦敦帝国学院在机构间的合作最为广泛。在聚类分析中，“心力衰竭”(聚类0#)为最大的聚类。此外，“肺动脉高压”、“血压”和“血管阻力”为主要关键词，而“社会”和“性别差异”则是近年来出现的最新突现关键词。结论：肺动脉高压可能成为血管阻力领域的新兴热点，这在一定程度上与2019冠状病毒病(COVID-19)与肺动脉高压之间的关联有关。近期在慢性血栓栓塞性肺动脉高压(CTEPH)研究中的进展，有助于深入理解肺部疾病的发病机制和治疗策略。此外，血管阻力监测技术在心血管疾病的诊断和管理中具有重要的临床意义。
Background: Vascular Resistance (VR) refers to the resistance encountered by blood flow as it moves through the blood vessels. It is a physiological phenomenon that plays a vital role in normal blood circulation and heart function. Nonetheless, aberrant vascular resistance underlies various circulatory disorders and cardiovascular pathologies. Despite extensive investigations of VR in recent years, no bibliometric analysis has been conducted thus far. The objective of this is to elucidate the evolutionary trends and emerging focal points within VR research while offering guidance for future investigations and evidence-based decision-making. Methods: All the relevant literature was obtained from the Web of Science Core Collection (WoSCC) database. HistCite, CiteSpace, and VOSviewer were employed to perform bibliometric analysis and visualization. Results: “Biology and Medicine” is the main research categories in this research. A total of 6645 English documents related to “Vascular Resistance” were included. The number of annual publications shows a stable trend. The United States is the country with the largest publications and the largest citations. The most productive institution, journal, and author are Mayo Clinic, Pulmonary Circulation, Marc Humbert, respectively. The most highly cited journal and author are International Journal of Cardiology, and Simonneau, Gerald. Imperial College London had the most extensive collaboration among the institutions. In clustering analysis, “heart failure” (cluster 0#) is the largest cluster. Moreover, “pulmonary
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