LabCompass

Paola Malerba

Neuroscience · The Ohio State University

Mid career · publishing since 2010Rising activity

Publications

73

Citations

1,155

Est. group size

~1

Recurring co-author estimate

Active years

17

Publishing since 2010

Research summary
AI-generated

Paola Malerba studies sleep, particularly the brain-wave patterns called slow oscillations and spindles that occur during deep sleep, and how these relate to memory, cognition, and development in both typical and clinical populations (such as youth with concussion or Duchenne muscular dystrophy). Her work combines EEG (electroencephalography, a method for recording brain electrical activity) data analysis with computational and algorithmic methods to detect and classify these sleep events, aiming to understand their role in memory and their potential as biomarkers for sleep disorders like hypersomnolence.

Sleep slow oscillations and spindlesEEG-based signal classification methodsSleep and memory/cognitionPediatric and developmental sleep researchSleep biomarkers for clinical conditions

Publication output has grown over the last decade, rising from about 4-5 papers per year in 2017-2020 to 8-9 per year in 2024-2026, with a dip around 2021-2023.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 7.6/year recently
2017: 4 publications172018: 5 publications182019: 5 publications192020: 4 publications202021: 2 publications212022: 9 publications9222023: 4 publications232024: 8 publications242025: 8 publications252026: 9 publications926
Recent publications
Publishes in
  • SLEEP×22
  • bioRxiv (Cold Spring Harbor Laboratory)×10
  • PLoS Computational Biology×2
  • SLEEP Advances×2
  • Brain Topography×1
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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 19, 2026.

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