Facial Rejuvenation and Surgery Techniques
As faces age, soft tissues lose volume, elasticity, and structural support, prompting clinicians to develop injectable materials—most notably hyaluronic acid-based dermal fillers—that restore contour and proportion without open surgery. Researchers study how these substances interact with facial anatomy at the tissue and vascular level, since even minimally invasive injections carry risks ranging from localized swelling to rare but serious complications such as vascular occlusion and skin necrosis. A central challenge is predicting individual variation in outcomes given differences in anatomy, filler rheology, and injection technique. Active work focuses on refining safety protocols, improving the longevity and reversibility of filler materials, and building clearer evidence on long-term tissue effects.
- Works
- 40,207
- Total citations
- 364,632
- Keywords
- Hyaluronic AcidDermal FillersFacial RejuvenationSoft Tissue AugmentationComplicationsAging Face
Top papers in Facial Rejuvenation and Surgery Techniques
Ordered by total citation count.
- Scaling Procedures↗ 2,012
- Platelet-rich fibrin (PRF): A second-generation platelet concentrate. Part I: Technological concepts and evolution↗ 1,806
- Facial Landmark Detection by Deep Multi-task Learning↗ 1,426
- Hypertrophic Scarring and Keloids: Pathomechanisms and Current and Emerging Treatment Strategies↗ 1,390OA
- THE SUPERFICIAL MUSCULO-APONEUROTIC SYSTEM (SMAS) IN THE PAROTID AND CHEEK AREA↗ 1,079
- International Clinical Recommendations on Scar Management↗ 1,057
- Automatic Age Estimation Based on Facial Aging Patterns↗ 972
- Long-Term survival of fat transplants: Controlled demonstrations↗ 804
- The Fat Compartments of the Face: Anatomy and Clinical Implications for Cosmetic Surgery↗ 785
- Noncontact Infrared Meibography to Document Age-Related Changes of the Meibomian Glands in a Normal Population↗ 766
- Finasteride in the treatment of men with androgenetic alopecia↗ 760
- Accurate 3D Face Reconstruction With Weakly-Supervised Learning: From Single Image to Image Set↗ 734
Active researchers
Top authors in this area, ranked by h-index.