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Socket shield technique in implant dentistry: An AI-based bibliometric analysis.

Qiao Fang1, Remya Ampadi Ramachandran2, Merve Koseoglu3

  • 1Clinical Assistant Professor, Department of Restorative Dentistry, College of Dentistry, University of Illinois Chicago, Chicago, Ill.

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|June 12, 2025
PubMed
Summary
This summary is machine-generated.

Bibliometric analysis reveals rapid growth in socket shield technique (SST) research for dental implants. Artificial intelligence tools identified key trends and influential contributors, guiding future implant dentistry studies.

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Area of Science:

  • Dental Implantology
  • Periodontics
  • Biomaterials

Background:

  • The socket shield technique (SST) is an innovative dental implant placement method focused on preserving facial bone and improving esthetics.
  • Despite its growing use, a comprehensive bibliometric analysis of SST research is currently unavailable.

Purpose of the Study:

  • To conduct a bibliometric analysis of SST research using artificial intelligence (AI) tools.
  • To map the scientific landscape, identify emerging trends, influential authors, and key research areas in SST.

Main Methods:

  • A bibliometric search of the Scopus database (2010-2024) for SST articles.
  • AI-assisted screening and automated metadata extraction, refined by expert manual verification.
  • Analysis using R bibliometrix package and visualization tools (VOS Viewer, Python) for publication trends, citations, and co-authorship networks.

Main Results:

  • 157 SST articles identified, with publication output increasing significantly post-2015.
  • The United States led in publications and international collaborations; China led in single-country publications.
  • Germany showed the highest total and average citations; the International Journal of Periodontics and Restorative Dentistry published the most SST articles.

Conclusions:

  • SST research is expanding rapidly, with substantial input from academic and clinical fields.
  • AI-enhanced bibliometric methods are effective for identifying trends and can inform future implant dentistry research.