Leonardo de Pádua Andrade Almeida Editor at IgMin Research
We endeavor to cultivate dialogue that spans multiple scientific disciplines to fast-track innovation.
Biography
Graduated in Dentistry from the Federal University of Piauí - Brazil, completed in 2017.2. MSc and PhD in Oral Rehabilitation from USP (University of São Paulo) - FORP (Faculty of Dentistry of Ribeirão Preto).
I work with lines of research in Dental Materials, Surface Treatments, Innovative Materials, Dental Implants and their respective Surface Treatments, Studies with Animal Models, Microbiological and Immunological Analysis, Prosthetics on Implants and Oral Rehabilitation.
Research Interest
Dental Materials, Surface Treatments, Innovative Materials, Dental Implants and their respective Surface Treatments, Studies with Animal Models, Microbiological and Immunological Analysis, Prosthetics on Implants and Oral Rehabilitation.
Reviewer
Work Details
PhD in Oral Rehabilitation
University of São Paulo
Department of Dental Materials and Prosthodontics
Brazil
Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- A Multi-Model Simulation Framework for Sponge Park Concept Achieving Urban Water Energy Nexus Sustainability in Hyper Arid Climates
- Melanocytic Nevi Classification using Transfer Learning
- Immobilization of 7-Iodo-8-hydroxyquinoline-5-sulfonic Acid (Ferron): A Comprehensive Review of Techniques and Applications
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
- Contamination in Heat Exchangers: Types, Energy Effects and Prevention Methods
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
