Metabolism at IgMin Research | Medicine Group
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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
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- The Influence of Low Pesticide Doses on Fusarium Molds
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Prevalence of Diabetic Retinopathy among Self-reported Newly Diagnosed Diabetics
- Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
