ReviewCureus2026
A Decadal Bibliometric Analysis of Endodontics Research in Saudi Arabia (2016-2025): Volume, Impact, and Emerging Trends.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aimed to assess global trends while highlighting the research productivity, influence, collaboration, and thematic trends in endodontics within Saudi Arabia from 2016 to 2025, using data from the Web of Science (WoS). Publications indexed in the WoS Core Collection were analyzed using the bibliometric parameters provided by WoS. Additionally, VOSviewer (Centre for Science and Technology Studies, Leiden University, the Netherlands) and Bibliometrix/Biblioshiny were employed to evaluate collaboration patterns and the thematic landscape of the most prevalent keywords. The indicators examined included publication growth, citation patterns, authorship, institutional productivity, contributions by country, journal performance, keyword co-occurrence, funding sources, and international collaborations. A total of 15,156 publications were identified globally from 2016 to 2025, averaging 1,515 per year, with each publication receiving an average of 11.4 citations. Saudi Arabia contributed 1,175 publications, representing 7.75% of the global output, and exhibited a higher average annual growth rate of 18.27%, in contrast to the global trend of 7.22%(average annual growth rate), peaking at 17.7% (n=208) in 2024. King Saud University and King Abdulaziz University were identified as the most productive institutions, while King Faisal University demonstrated the highest citation impact. International collaborations included 65 countries, with India being the most frequent partner; however, collaborations with the United States and China yielded a greater citation impact. Significant relationships were identified between citation impact, accessibility mode, document types, and journal categories (p<0.001). The most prominent keywords indicated a focus on clinical and material-oriented topics, such as root canal treatment, cone beam computed tomography, and regenerative endodontics. Funding for research in Saudi Arabia was primarily sourced from leading universities, in contrast to global funding, which was predominantly provided by national agencies. Saudi Arabia experienced rapid advancement, characterised by robust institutional and collaborative contributions. There was a concentrated thematic focus on clinical procedures, diagnostics, biomaterials, and regenerative approaches, alongside an increasing influence in scholarly circles. The findings offer crucial insights for researchers, policymakers, and funding agencies, underscoring Saudi Arabia's emerging prominence in endodontics research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.