D. Montgomery Bissell

MD

Chief of Gastroenterology
Director, UCSF Liver Center
Hepatologist

About me

Dr. D. Montgomery Bissell is UCSF's chief of gastroenterology and director of the UCSF Liver Center, an integrative research consortium supported by the National Institutes of Health (NIH) that seeks to better understand the liver and find cures for its diseases.

Bissell has a career-long interest in liver disease, dating to when he conducted a project on hepatocellular carcinoma (the most common kind of primary liver cancer) in East Africa as a Harvard medical student. He then turned his attention to defining the cellular responses and molecular regulation of the scarring process known as fibrosis and cirrhosis.

After earning his medical degree from Harvard Medical School, Bissell completed a general medicine residency at Boston Medical Center. He completed a fellowship in gastrointestinal research and the liver at UCSF.

Since 1981, Bissell has led the laboratory dedicated to liver research at Zuckerberg San Francisco General Hospital and Trauma Center. The laboratory is known internationally for studies on fibrosis and defining new therapies to block fibrosis progression in patients.

Bissell is a member of several professional organizations, including the American Society for Clinical Investigation and Association of American Physicians. He has served on review panels for NIH, the Veterans Health Administration and other institutions.

  • Education

    Harvard Medical School, 1967

  • Residencies

    Boston Medical Center, General Medicine, 1970

  • Fellowships

    UCSF, GI Research/Liver, 1973

  • Board Certifications

    Internal Medicine, American Board of Internal Medicine

  • Academic Title

    Professor

  • Languages

    French

Liver Disease and Liver Transplant

350 Parnassus Ave., Suite 300
San Francisco, CA 94143

Selected research

Decorative Caduceus

Longitudinal Study of the Porphyrias

To develop disease severity scores to describe the combined frequency and severity of disease manifestations, utilizing linear mixed effects models & stratification by age of onset.

Recruiting

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