Aim & Scope

 
The “International Journal of Life Sciences Biotechnology and Pharma Sciences" (IJLBPS) (ISSN: 2395-650X) is an international online journal in English published Quarterly (4 issue per year). The aim of IJLBPS is to publish peer reviewed research articles, short communications and review articles in rapidly developing fields of Life Sciences Biotechnology and Pharma Sciences. This is an online open access journal having full access to the research and review papers. Users are allowed to read and download the articles with free of cost. The journal aims to cover the latest outstanding developments in the field of Life Sciences Biotechnology and Pharma Sciences specifically in the following branches
 
 
Life Sciences Branches Biotechnology Branches Pharmaceutical Sciences Branches
Botanay Biochemistry Pharmaceutics
Zoology Bioinformatics Pharmacology
Cytology Genetics Pharmacognosy & Phytochemistry
Ecology & Environmental Biology Microbiology Pharmaceutical Chemistry
Environmental Sciences Molecular Biology Pharmaceutical Biotechnology
Poultry Science Immunology Nanotechnology
Fishery Science Plant Biotechnology Pharmacy practice
Marine Biology Animal Biotechnology Medicinal Chemistry
Pathology Agricultural Biotechnology Novel drug delivery system
Health and Nutrition Medical Biotechnology Pharmacogenomics
Wildlife Biology Industrial Biotechnology Molecular Pharmacology
Soil and Water resources Environmental Biotechnology Analytical Chemistry
Cell Biology Nanotechnology Organic Chemistry
Evolution Biostatistics Natural Chemistry
Veterinary Science Biophysics Polymer sciences
Neurobiology        

 


IJLBPS would take much care in making your article published without much delay with your cooperation.

International Journal of Life Sciences Biotechnology and Pharma Sciences (IJLBPS) would provide a platform for budding scientists, researchers, research scholars, academicians and Industrialists etc. to present their research findings in the field of Life Sciences Biotechnology and Pharma Sciences with least time loss.