LabCompass

Maya Guglin

Engineering · Indiana University

OpenAlex ORCID
Mechanical Circulatory Support DevicesCardiac Structural Anomalies and RepairHeart Failure Treatment and ManagementCardiovascular Function and Risk FactorsCardiac Arrest and Resuscitation

Publications

525

Citations

8,327

Est. group size

—

Recurring co-author estimate

Active years

24

Publishing since 2003

Research summary
AI-generated

Maya Guglin conducts clinical research in advanced heart failure and cardiovascular medicine, focusing on mechanical devices that support or replace heart function, such as left ventricular assist devices (mechanical pumps implanted to help a failing heart), and treatments for cardiogenic shock (a life-threatening condition where the heart cannot pump enough blood). The work also covers implantable monitoring sensors, heart failure medications, and outcomes for high-risk patients. Much of the research is published as clinical studies, case reports, and consensus guidelines.

Mechanical circulatory support devices (e.g., LVADs)Heart failure managementCardiogenic shock outcomesImplantable cardiac monitoring and pacing devicesCardiovascular risk factors and patient outcomes

Publication activity has been high and fairly steady over the past decade, averaging around 27 papers per year over the last five years, with some year-to-year fluctuation.

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

Publication cadence
Publications per year over the last 10 years — averaging 27.4/year recently
2017: 40 publications172018: 40 publications182019: 25 publications192020: 39 publications202021: 33 publications212022: 33 publications222023: 51 publications51232024: 27 publications242025: 24 publications252026: 2 publications26
Recent publications
Publishes in
  • Journal of the American College of Cardiology×50
  • Journal of Cardiac Failure×36
  • The VAD Journal×36
  • The Journal of Heart and Lung Transplantation×35
  • International Journal of Cardiology×12

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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