Anthony Daggett

Anthony Daggett, MD, PhD is an Assistant Professor in the Department of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine and a member of the UCSF Weill Institute for Neurosciences. His research bridges clinical psychiatry and fundamental neuroscience.

Education:

• BS in Neurobiochemistry, UC San Diego
• BS in Psychology, UC San Diego
• PhD in Neuroscience, UCLA
• MD in Medicine, UCLA
• Adult Psychiatry Residency, UCSF
• Child & Adolescent Psychiatry Fellowship, UCSF

Dr. Daggett's work spans clinical psychiatry and neuroscience research. His clinical interests include Borderline Personality Disorder, Adolescent BPD, and Dialectical Behavior Therapy, while his research focuses on neurodegenerative mechanisms in Huntington's disease and Alzheimer's disease. His dual expertise allows him to connect molecular mechanisms with clinical manifestations of neurological and psychiatric disorders.

Analysis of Dr. Daggett's publication record reveals a consistent focus on cellular mechanisms of neurodegeneration, particularly the role of microglia in disease progression. His work on TREM2 gene function in Alzheimer's models and microglial involvement in Huntington's disease represents significant contributions to understanding early pathological changes in these conditions. This research has important implications for developing targeted interventions that could modify disease progression.

Research Impact:

• His 2018 Neuron paper on TREM2 has received 167 citations
• His 2011 Neuron paper on Cadherin-9 has received 99 citations
• His 2023 Nature Medicine paper has already garnered 32 citations
• Multiple publications featured in high-impact journals including Nature Medicine and Neuron

Dr. Daggett maintains active collaborations across institutions, particularly with researchers at UCLA and UCSD. His work has generated significant interest in both academic and public spheres, with multiple publications being widely discussed in news outlets, social media, and scientific platforms, demonstrating the relevance and impact of his research on understanding neurodegenerative processes.