LabCompass

David L. Haggerty

Neuroscience · Indiana University

Publications

41

Citations

571

Est. group size

~5

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

David L. Haggerty studies how brain circuits control behaviors related to alcohol use, risk-taking, and chronic pain, largely using rodent (mouse) models. The work maps specific neural pathways—such as connections between the insular cortex and the striatum—that shape drinking behavior, and also develops computational tools (like AI-based pose estimation software) to automatically track and analyze animal behavior.

Neural circuits of alcohol consumptionBehavioral neuroscience in rodent modelsMachine learning tools for behavior trackingRisk-taking and decision-making circuitsChronic pain and addiction interactions

Publication activity has been steady-to-growing over the past decade, with notable peaks in 2024 and 2026 and an average of about six publications per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
17182019: 2 publications192020: 5 publications202021: 4 publications212022: 5 publications222023: 2 publications232024: 10 publications10242025: 3 publications252026: 10 publications1026
Recent publications
Publishes in
  • eLife×9
  • bioRxiv (Cold Spring Harbor Laboratory)×7
  • Addiction Biology×2
  • Frontiers in Pharmacology×2
  • Zenodo (CERN European Organization for Nuclear Research)×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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