Leonardo de Pádua Andrade Almeida Editor at IgMin Research
Our vision is to support multi-field collaboration and contribute to the rapid dissemination of knowledge.
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
- Analysis of the State of Moisture Control to Ensure and Regulate the Quality of Grain and Grain Products
- Semiclassical Potential Function of B–B Interaction: Reduction to Integrable Form
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- Benzo[4’,5’]imidazo[2’,1’:6,1]pyrido[2,3-d]pyrimidines: Past and Present
- Examining the Causal Connection between Lipid-lowering Medications and Malignant Meningiomas through Drug-target Mendelian Randomization Analysis
- Clinical MLOps: A Framework for Responsible Deployment and Observability of AI Systems in Cloud-Native Healthcare
