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Mario de Lucio

Pharmacology, Toxicology and Pharmaceutics · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2018Rising activity
Advancements in Transdermal Drug DeliveryAdvanced Drug Delivery SystemsAortic aneurysm repair treatmentsElasticity and Material ModelingBlood properties and coagulation

Publications

25

Citations

287

Est. group size

~5

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Mario de Lucio develops computational and mathematical models of how drugs, especially injectable biologic therapies like monoclonal antibodies, move through and are absorbed by body tissue such as skin and fat. His work combines biomechanics (how tissue deforms and behaves under injection) with drug transport simulations to help predict and improve subcutaneous drug delivery devices, and also touches on modeling blood vessel wall stress in conditions like abdominal aortic aneurysms.

Computational modeling of drug deliverySubcutaneous injection biomechanicsTissue mechanics (poroelasticity) and deformationBiologic/monoclonal antibody transportVascular (aortic) biomechanics modeling

Publication output has grown over the last decade, rising from sporadic early activity to a steady and increasing pace of about 3-6 papers per year in the most recent 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
172018: 2 publications18192020: 4 publications202021: 1 publication212022: 2 publications222023: 3 publications232024: 3 publications242025: 4 publications252026: 6 publications626
Recent publications
Publishes in
  • Computer Methods in Applied Mechanics and Engineering×3
  • International Journal of Pharmaceutics×3
  • SSRN Electronic Journal×3
  • arXiv (Cornell University)×3
  • Biomechanics and Modeling in Mechanobiology×2
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By research-topic overlap
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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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