Overview
Mi-hee Jun practices practicing medicine in Daegu, Republic of Korea.
Jun is highly rated in 2 conditions, according to our data. Their clinical expertise encompasses Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's Disease) and Primary Lateral Sclerosis.
They are actively involved in clinical research, co-authoring 11 peer reviewed articles.
Locations
Clinical Research
Clinical research consists of overseeing clinical studies of patients undergoing new treatments and therapies, and publishing articles in peer reviewed medical journals. Experts who actively participate in clinical research are generally at the forefront of the fields and aware of the most up-to-date advances in treatments for their patients.
Frequently Asked Questions about Mi-hee Jun
Is Mi-hee Jun a top-rated expert for Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's Disease)?
MediFind is an objective health platform that identifies experts based on real-world data. Mi-hee Jun is classified as an Advanced expert for Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's Disease), meaning they are among the top experts in the country for this condition. This ranking is based on their volume of patients, published research, and peer connections.
Does Mi-hee Jun participate in research or clinical trials?
Yes. Mi-hee Jun has published 11 articles and abstracts on conditions like Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's Disease). You can view a list of Mi-hee Jun's latest peer-reviewed publications and clinical trial participation on their profile to see if they are active in new treatments.
Areas of Expertise
MediFind evaluates expertise by pulling from factors such as number of articles a doctor has published in medical journals, participation in clinical trials, speaking at industry conferences, prescribing and referral patterns, and strength of connections with other experts in their field.
Learn more about MediFind’s expert tiers
- Advanced
- Amyotrophic Lateral Sclerosis (ALS or Lou Gehrig's Disease)
- Primary Lateral Sclerosis