LabCompass

Sara Sáez-Atiénzar

Medicine · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2012
Parkinson's Disease Mechanisms and TreatmentsAmyotrophic Lateral Sclerosis ResearchAutophagy in Disease and TherapyNeurogenetic and Muscular Disorders ResearchCellular transport and secretion

Publications

59

Citations

2,853

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2012

Research summary
AI-generated

Sara Sáez-Atiénzar studies the genetic and molecular basis of neurodegenerative diseases, particularly amyotrophic lateral sclerosis (ALS), Parkinson's disease, and related conditions like frontotemporal dementia and dementia with Lewy bodies. Her work combines large-scale genomic and epigenetic (DNA methylation) data analysis with cell biology approaches to identify disease risk factors, biomarkers, and potential drug repurposing strategies. This research is aimed at understanding disease mechanisms and finding new diagnostic or therapeutic leads for patients with these brain and motor neuron disorders.

ALS and neurodegenerative disease geneticsDNA methylation and epigenetics in neurological diseaseBiomarker discovery for motor neuron diseaseDrug repurposing using genomic dataCellular mechanisms in Parkinson's and Lewy body disease

Publication output rose to a peak in 2020 and has since fluctuated at a lower but steady pace, averaging under 4 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 3.6/year recently
2017: 1 publication172018: 3 publications182019: 6 publications192020: 13 publications13202021: 4 publications212022: 5 publications222023: 4 publications232024: 7 publications242025: 2 publications2526
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×7
  • Movement Disorders×5
  • Cell Reports×4
  • SSRN Electronic Journal×3
  • Science Advances×2
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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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