{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T15:50:50Z","timestamp":1753890650540,"version":"3.41.2"},"reference-count":86,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T00:00:00Z","timestamp":1681344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Bioeng. Biotechnol."],"abstract":"<jats:p><jats:bold>Background:<\/jats:bold> Cardiovascular and cerebrovascular diseases are major global health problems, and the main cause is atherosclerosis. Recently, molecular imaging has been widely employed in the diagnosis and therapeutic applications of a variety of diseases, including atherosclerosis. Substantive facts have announced that molecular imaging has broad prospects in the early diagnosis and targeted treatment of atherosclerosis.<\/jats:p><jats:p><jats:bold>Objective:<\/jats:bold> We conducted a scientometric analysis of the scientific publications over the past 23\u00a0years on molecular imaging research in atherosclerosis, so as to identify the key progress, hotspots, and emerging trends.<\/jats:p><jats:p><jats:bold>Methods:<\/jats:bold> Original research and reviews regarding molecular imaging in atherosclerosis were retrieved from the Web of Science Core Collection database. Microsoft Excel 2021 was used to analyze the main findings. CiteSpace, VOSviewer, and a scientometric online platform were used to perform visualization analysis of the co-citation of journals and references, co-occurrence of keywords, and collaboration between countries\/regions, institutions, and authors.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold> A total of 1755 publications were finally included, which were published by 795 authors in 443 institutions from 59 countries\/regions. The United States was the top country in terms of the number and centrality of publications in this domain, with 810 papers and a centrality of 0.38, and Harvard University published the largest number of articles (182). Fayad, ZA was the most productive author, with 73 papers, while LIBBY P had the most co-citations (493). <jats:italic>CIRCULATION<\/jats:italic> was the top co-cited journal with a frequency of 1,411, followed by <jats:italic>ARTERIOSCL THROM VAS<\/jats:italic> (1,128). The co-citation references analysis identified eight clusters with a well-structured network (Q = 0.6439) and highly convincing clustering (S = 0.8865). All the studies calculated by keyword co-occurrence were divided into five clusters: \u201cnanoparticle,\u201d \u201cmagnetic resonance imaging,\u201d \u201cinflammation,\u201d \u201cpositron emission tomography,\u201d and \u201cultrasonography\u201d. Hot topics mainly focused on cardiovascular disease, contrast media, macrophage, vulnerable plaque, and microbubbles. Sodium fluoride \u2043PET, targeted drug delivery, OCT, photoacoustic imaging, ROS, and oxidative stress were identified as the potential trends.<\/jats:p><jats:p><jats:bold>Conclusion:<\/jats:bold> Molecular imaging research in atherosclerosis has attracted extensive attention in academia, while the challenges of clinical transformation faced in this field have been described in this review. The findings of the present research can inform funding agencies and researchers toward future directions.<\/jats:p>","DOI":"10.3389\/fbioe.2023.1152067","type":"journal-article","created":{"date-parts":[[2023,4,14]],"date-time":"2023-04-14T08:04:53Z","timestamp":1681459493000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Molecular imaging research in atherosclerosis: A 23-year scientometric and visual analysis"],"prefix":"10.3389","volume":"11","author":[{"given":"Juhong","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueying","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yugang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenwei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,4,13]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1093\/ehjci\/jeab287","article-title":"Non-invasive imaging as the cornerstone of cardiovascular precision medicine","volume":"23","author":"Achenbach","year":"2022","journal-title":"Eur. 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