British Journal of Oral & Maxillofacial Surgery

Papers
(The H4-Index of British Journal of Oral & Maxillofacial Surgery is 17. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Reply to the Letter to Editor regarding: Comparison of intravelar veloplasty and Furlow’s palatoplasty in submucous cleft palate: a meta- analysis61
Surgical performance anxiety among UK oral and maxillofacial surgeons36
Editorial Board32
EP023 Frozen section analysis in detection of occult metastasis in sentinel nodes from oral squamous cell carcinoma: A Systematic review and meta-analysis31
Training groups / Instructions to Authors31
30 Electric scooter related maxillofacial injuries in Oxfordshire29
20 Recruitment in Oral and Maxillofacial Surgery. The pathway to Speciality Training25
15. Why are Primary Care Practitioners Ignoring the 2014 BAOMS RCS TMD Commissioning Guide – A Multi-institution Service Evaluation23
53 Recurrent TMJ subluxation in children: Case series, review of literature and protocol for management23
EP123 Osseous Choristomas of the maxillofacial region: A systematic literature review23
P077 A five-year review of the management of mandibular fractures in a non-trauma centre23
41. Patient Reported Outcome Measures (PROMs) in Zygomatic Fracture Surgery – What do patients want?21
33. How fast is too fast? Post-operative & physical function milestones for patients undergoing maxillofacial surgery with free flap reconstruction19
93. WITHDRAWN19
P067 Antral exostoses; do they matter? A review of the literature18
72. A quality improvement project analysing the environmental and financial impact of unnecessary preoperative investigations18
Assessing prevalence and independent predictors of postoperative delirium in patients with head and neck cancer. Re: Crawford J E et al Postoperative delirium in patients with head and neck oral cance17
Use of machine learning to predict pathological depth of invasion in tongue cancer17
63. A training tool for clinicians in segmenting medical images to make 3D models17
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