{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T02:54:03Z","timestamp":1793242443918,"version":"4.5.0"},"reference-count":50,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T00:00:00Z","timestamp":1783728000000},"content-version":"vor","delay-in-days":191,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,14]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Artificial intelligence (AI) is fundamentally transforming the landscape of plastic surgery, yet the structural architecture of its most influential scholarship has not been systematically characterized. This study presents a bibliometric and visual analysis of the 100 most-cited English-language AI publications in plastic surgery. Scopus was searched from database inception through January 15, 2026. Eligible articles underwent dual independent screening in Covidence, and the 100 most-cited publications were analyzed using R (v4.4.1) and VOSviewer (v1.6.18) for citation metrics, authorship networks, geographic and institutional contributions, journal distribution, and thematic categorization. Of the 3827 retrieved records, 357 met the full inclusion criteria, and the top 100 were identified. These articles collectively received 2701 citations (average: 27.01 \u00b1 22.19), with a marked post-2022 publication surge accounting for 79% of the studies, with 2024 contributing to 34% of that share. Patient education and large language model\u2013based consultation constituted the dominant thematic cluster (35%), followed by ethical and governance considerations (17%) and outcomes prediction and risk modeling (13%). Aesthetic surgery represented the most prolific specialty (34%), with craniofacial and breast reconstruction each contributing to 21%. Aesthetic Plastic Surgery (n = 16) and the Aesthetic Surgery Journal (n = 10) led journal representation. The United States dominated global scholarly output, whereas Peninsula Health in Australia emerged as the most impactful institution, with Rozen and Seth jointly leading the analysis as top authors. This analysis demonstrates the intellectual topography of AI scholarship in plastic surgery, identifying prevailing thematic concentrations and underexplored domains, and offering a contemporary framework for future research priorities and international collaboration.<\/jats:p>\n                  <jats:p>Level of Evidence: 3 (Therapeutic)<\/jats:p>\n                  <jats:p>For image description, please refer to the figure legend and surrounding text.<\/jats:p>","DOI":"10.1093\/asjof\/ojag148","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T11:50:26Z","timestamp":1783684226000},"source":"Crossref","is-referenced-by-count":1,"title":["Artificial Intelligence in Plastic Surgery: A Bibliometric and Visual Analysis of the 100 Most-Cited English-Language Publications"],"prefix":"10.1093","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8786-5246","authenticated-orcid":false,"given":"Jonathan","family":"Mokhtar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meera","family":"Hallak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michel Gabriel","family":"Cazenave","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2954-0628","authenticated-orcid":false,"given":"Lucas","family":"Kreutz-Rodrigues","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna S","family":"Vyas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr","given":"Curtis L","family":"Cetrulo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8191-8662","authenticated-orcid":false,"given":"Alexandre G","family":"Lellouch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,7,11]]},"reference":[{"key":"2026073111464526000_ojag148-B1","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.30574\/wjarr.2025.27.2.2948","article-title":"The role of artificial intelligence in plastic and reconstructive surgery: a systematic review of clinical applications, accuracy, and integration challenges","volume":"27","author":"Dandoulakis","year":"2025","journal-title":"World J Adv Res Rev"},{"key":"2026073111464526000_ojag148-B2","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1056\/NEJMra2302038","article-title":"Artificial intelligence and machine learning in clinical 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