Dr. Janean Holden

Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Janean Holden. Improve your application with a focused, well-structured draft.

Biography

Dr. Janean E. Holden is a Professor Emerita at the University of Michigan School of Nursing specializing in neuropathic pain research. Her extensive background includes preclinical studies aimed at identifying mechanisms underlying pain modulation within the spinal cord and hypothalamus. Dr. Holden's notable work includes investigating hypothalamic nociceptive modulation of neuropathic pain, leveraging chemotherapy agents like paclitaxel in rat models. She has secured multiple NIH grants targeting forebrain and hypothalamic modulation of pain, and holds teaching expertise in pathophysiology across undergraduate and graduate levels, fostering the next generation of nursing students. Dr. Holden's commitment to research is complemented by her active roles in various academic and professional organizations, including her tenure as President of the Midwest Nursing Research Society. She has received numerous awards for her contributions to nursing science, including the prestigious Presidential Early Career Award for Scientists and Engineers. She holds multiple degrees from the University of Michigan and the University of Utah, along with a post-doctoral fellowship in Pharmacology from the University of Illinois at Chicago.

Research Interests

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science