ReviewJournal of maxillofacial and oral surgery2025
Surface Characteristics and Their Influence on Osseointegration: A Scientometric Analysis with a Focus on Dental Implants.
Review in Journal of maxillofacial and oral surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Quantifying Stress Shielding in Dental Implants: A Comparative Finite Element Study of Titanium, CFR-PEEK, and Ceramic Materials.Materials (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Surface roughness is a critical factor in implant technology, influencing osseointegration and biocompatibility. A thorough understanding of the research landscape is essential to track advancements, key contributors, and highlight emerging trends. Objective: To perform a scientometric analysis of research on surface roughness in implants, identifying trends, highly contributing institutions, collaboration networks, and emerging research areas. Methods: Data was collected from the Web of Science Core Collection using a structured search strategy focused on surface roughness and implant-related terms. Bibliometric techniques, including citation analysis, keyword co-occurrence mapping, and collaboration network visualization, were employed to analyze the dataset. Results: The analysis identified leading institutions, and highly cited publications in the field. Keyword trends indicated growing interest in 3D printing, novel biomaterials, and advanced surface modification techniques. Collaboration networks highlighted interdisciplinary engagement. Conclusion: While significant advancements have been made in understanding surface roughness in implant technology, future research should focus on long-term effects and standardized roughness parameters. Emerging technologies, such as additive manufacturing and bioengineered surfaces, present promising avenues for further innovation.
Indexed as
Identifiers
What OpenQuestion holds
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.