Welcome to the Journal of Experimental Stroke & Translational Medicine

The Journals mission is to:

 • Build a closely connected, mutually beneficial network of active scientists who are actively doing experimental and translational stroke research;
• Foster exchange of information on stroke models, experimental and translational stroke research among peers;
• Coordinate hands-on training and promote Standard Operational Procedures (SOP) for stroke models
• Culture an environment that favors identifying and solving problems
• Improve the quality of experimental stroke research and facilitate a successful translation for ischemic stroke treatment.

Journal Highlights:
  • Aneurysm
  • Antithrombin
  • Atrial fibrillation
  • Bio-Energetics
  • Blood
  • Blood-Brain barrier
  • Brain Injury
  • Cell Death Process and Protection
  • Cell-Based Therapy
  • CNS Drug Delivery
  • Free Radicals and Antioxidants
  • Hemorrhage
  • Hypometabothermia
  • Matrix Metalloproteinases
  • Nanomedicine
  • Neuralgia
  • Neuroinflammation
  • Neuroprotective Effect of Antipsychotic and Antidepressant Treatment
  • Penumbra
  • Preclinical/Clinical Trials
  • Preconditioning
  • Stroke Functional Recovery
  • Stroke Models
  • Stroke rehabilitation
  • Surgical Treatment
  • Translational Regenerative Medicine
  • Vascular Disorders
  Journal of Experimental Stroke & Translational Medicine is Indexed in SCOPUSChemical Abstracts Service, Harvester get CITED, Google Scholar, Research Gate- Impact Factor: 1.55*
 
Journal of Experimental Stroke & Translational Medicine has an article processing charge of $1519 for each article accepted for publication.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google search and the Scholar Citation Index database. If 'X' is the total number of articles published in 2014 and 2015, and 'Y' is the number of times these articles were cited in indexed journals during 2016 then, impact factor = Y/X

Recently Published Articles

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