Manana Kandashvili Editor at IgMin Research
Our goal is to facilitate an environment of cross-disciplinary interaction for greater progress.
Biography
Dr. Manana Kandashvili is a dedicated researcher at the Institute of Chemical Biology, Ilia State University, Georgia. With a strong background in chemistry and neuroscience, her work focuses on understanding the molecular mechanisms of epilepsy and neurodegeneration. She has published several impactful studies on topics such as myo-inositol's role in epileptogenesis and the effects of neuroprotective agents like memantine. Fluent in Georgian, English, and German, Dr. Kandashvili continues to contribute significantly to the field of molecular neuroscience.
Research Interest
Molecular Neurobiology, Energy Metabolism
Editor
Work Details
Doctor of Philosophy
Ilia State University
Institute of Chemical Biology
Georgia
0000-0001-6140-6213 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
- Physical Activity and Lifestyle of Female Students of the Faculty of Health Sciences University of Applied Sciences in Tarnów (Poland)
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Influence of Polycarboxylate Superplasticizer on the Calorimetric and Physicomechanical Properties of Mortar
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
