High-sensitivity cardiac troponin (hs-cTn) assays have transformed the diagnosis and management of acute coronary syndromes (ACS) and have become central to modern emergency and laboratory medicine. Despite the rapidly expanding literature, no comprehensive bibliometric study has evaluated global publication patterns or Turkey’s contribution to this field. This bibliometric analysis examined hs-cTn-related journal articles and reviews indexed in Scopus between 2010 and 2024. A structured search strategy using TITLE-ABS-KEY fields was applied, excluding non–high-sensitivity assays. After manual cleaning, deduplication, DOI verification, and consolidation of consensus documents, 4178 global records and 107 Turkey-affiliated publications were included. Bibliometric indicators (annual growth, citations, h- and g-index), keyword evolution, co-authorship, international collaboration, co-citation networks, and Bradford’s Law journal distributions were analyzed using Bibliometrix (R) and VOSviewer. Global hs-cTn research demonstrated continuous expansion with a 10.5% annual growth rate and a total of 128,560 citations (mean 56.3 per article). The field showed strong international collaboration, led by the United States and Western Europe. Highly cited documents were dominated by major ESC and AHA/ACC guidelines and COVID-19–related studies. Keyword analyses revealed an evolution from ACS-focused diagnostic research to broader prognostic and translational themes. Turkey contributed 2.5% of global output, with publication activity increasing notably after 2018 and peaking in 2021. Turkey’s research showed a regionally concentrated collaboration network and a narrower journal distribution. This study provides the first comprehensive bibliometric mapping of hs-cTn research, demonstrating rapid growth, strong guideline-driven influence, and expanding clinical breadth. Turkey contributes meaningfully but remains regionally concentrated. Future studies may benefit from strengthened international collaboration and broader dissemination channels.
Key words: Acute coronary syndrome, artificial intelligence, bibliometric analysis, clinical laboratory, emergency medicine, high-sensitivity cardiac troponin
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