LabCompass

Sarah Maier

Computer Science · Indiana University

OpenAlex ORCID
Computational Drug Discovery MethodsMachine Learning in Materials ScienceMetal complexes synthesis and propertiesMicrobial Natural Products and BiosynthesisFree Radicals and Antioxidants

Publications

21

Citations

231

Est. group size

—

Recurring co-author estimate

Active years

25

Publishing since 2001

Research summary
AI-generated

Sarah Maier's published work spans chemistry and computational methods, including studies of metal complexes and catalysts (such as platinum and copper compounds), materials characterization, and bioinformatics databases linking DNA repair genes to cancer. The research combines experimental chemistry with data-driven approaches like machine learning and computational drug discovery.

Metal complexes and catalysisComputational drug discoveryMachine learning in materials scienceMicrobial natural products and biosynthesisCancer biomarker databases

Publication activity has been modest and somewhat variable over the past decade, averaging about 1.8 papers per year in the last five years with a peak in 2023.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
172018: 1 publication18192020: 2 publications202021: 3 publications212022: 1 publication222023: 5 publications5232024: 2 publications242025: 1 publication2526
Recent publications
Publishes in
  • Physical Chemistry Chemical Physics×2
  • Journal of Chemical Theory and Computation×2
  • The Journal of Physical Chemistry A×1
  • Journal of Chemical Information and Modeling×1
  • Journal of Natural Products×1

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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