Metabolism at IgMin Research | Medicine Group
Our vision is to promote the integration of scientific fields to hasten the discovery process.
About
Metabolism refers to the complex network of chemical processes that occur within living organisms to sustain life, including the conversion of food into energy, the building and repair of tissues, and the elimination of waste products. This field of study explores how cells utilize nutrients, regulate energy production, and maintain biochemical balance. Researchers in Metabolism focus on understanding the pathways that govern metabolic function, aiming to address metabolic disorders and optimize health outcomes.
The study of Metabolism integrates insights from biochemistry, physiology, and molecular biology to explore the mechanisms underlying metabolic health and disease. By investigating areas such as energy expenditure, nutrient metabolism, and the impact of hormones on metabolic processes, research in this field is crucial for developing interventions to manage obesity, diabetes, and other metabolic disorders. Advancements in metabolism research are essential for promoting health, enhancing physical performance, and preventing chronic diseases.
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
- 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
- Communication Training at Medical School: A Quantitative Analysis
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Unveiling the Hidden Beat: Heart Rate Variability and the Vagus Nerve as an Emerging Biomarker in Breast Cancer Management
