Nursing at IgMin Research | Medicine Group
Our purpose is to drive collective progress by bringing multiple fields into conversation.
About
Nursing is a cornerstone of healthcare, dedicated to the compassionate care and well-being of individuals, families, and communities. As both a science and an art, nursing integrates clinical expertise with empathetic practice to promote health, prevent illness, and support recovery. Nurses serve as patient advocates, educators, and caregivers, working across diverse healthcare settings to provide holistic care tailored to each patient's needs.
This dynamic field is continually evolving with advancements in medical knowledge, technology, and patient-centered care practices. From acute care to chronic disease management, nursing professionals play an integral role in shaping the healthcare landscape. Their contributions extend beyond bedside care, encompassing leadership, research, and policy advocacy to improve healthcare systems and outcomes worldwide.
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
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
- Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin
- Maternal Knowledge and Practices in Caring for Children under Five with Pneumonia: A Cross-Sectional Study in Vietnam
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
