LabCompass

Rodrigo Mohallem

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2006Rising activity
Cancer Research and TreatmentsBladder and Urothelial Cancer TreatmentsAmino Acid Enzymes and MetabolismVeterinary Oncology ResearchCancer, Hypoxia, and Metabolism

Publications

59

Citations

354

Est. group size

~15

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Rodrigo Mohallem's research uses mass spectrometry-based proteomics and phosphoproteomics (large-scale methods for identifying and measuring proteins and their chemical modifications) to study aging, cancer, metabolism, and disease processes in animal and cell models. Recent work spans topics such as aging brain and liver changes, neurodegenerative disease markers, insulin resistance, cancer cell metabolism, and even effects of spaceflight on astronaut blood proteins.

Proteomics and phosphoproteomics methodsAging and neurodegeneration (brain, liver)Cancer cell biology and metabolismMetabolic disease (insulin resistance, TNF-alpha signaling)Applied proteomics in animal/space biology

Publication output grew substantially from 2018 through a peak in 2023, followed by a decline in subsequent years, suggesting an overall growing but uneven pace of output over the past decade.

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

Publication cadence
Publications per year over the last 10 years — averaging 9.4/year recently
172018: 1 publication182019: 2 publications192020: 2 publications202021: 5 publications212022: 8 publications222023: 25 publications25232024: 5 publications242025: 7 publications252026: 2 publications26
Recent publications
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×4
  • Scientific Reports×3
  • Journal of Proteomics×3
  • Figshare×3
  • Molecular & Cellular Proteomics×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 20, 2026.

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