Sansone Luigi Editor at IgMin Research
We strive to bring experts together from different areas to enhance research and its impacts.
Biography
Sansone Luigi graduated in 2009 in Molecular and Cellular Biology from the Tor Vergata University of Rome. From 2006 to 2009 he worked as an intern in the laboratory of Prof. Mauro Piacentini with research activities on endoplasmic reticulum stress. In June 2021 he won the competition for fixed-term researcher L.240/10 type A 05/F1 - APPLIED BIOLOGY BIO/13 - Applied biology San Raffaele Telematic University of Rome Department of Promotion of Human Sciences and Quality of Life.
Research Interest
Investigation of the mechanisms that regulate cell death and degradation with loss of function in neurodegenerative diseases. He has also carried out research on the function of mitochondrial sirtuins and on the recovery of mitochondrial integrity and cell survival in the presence of stress.
Editor
Work Details
Professor
San Raffaele University of Rome
Department of Human Sciences and Promotion of the Quality of Life
Italy
0000-0003-3150-6461 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
- Accessible H2O on Mars – A Critical Review of Current Knowledge
- Methodology of the Professional-Business Game for the Development of a Cadet Leader in Professional Training Courses (L-1B) of the Tactical Level of Military Education
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Federated Learning- Hope and Scope
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
