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Chad C. Carroll

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

Established · publishing since 1981

Publications

112

Citations

2,254

Est. group size

~3

Recurring co-author estimate

Active years

46

Publishing since 1981

Research summary
AI-generated

Chad C. Carroll's research focuses on how skeletal muscle and tendon tissue respond and adapt to factors like exercise, aging, diabetes, and disease states such as obesity and cancer treatment. Work spans muscle protein synthesis, tendon structure changes linked to diabetes-related compounds (advanced glycation end products), and cellular/molecular responses to exercise and other stressors. Studies often use human, rat, and mouse models combined with molecular and transcriptomic (gene expression) analysis techniques.

Skeletal muscle protein metabolism and exercise responseTendon biology and diabetes-related tissue changesAging and muscle/tendon functionCardiac and vascular remodelingGene expression and transcriptome analysis in muscle/tendon

Publication output was higher earlier in the decade (2017-2019, around 7-8 papers/year) but has slowed considerably since 2020, averaging under 3 papers per year in the most recent 5-year period.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
2017: 8 publications8172018: 8 publications8182019: 7 publications192020: 2 publications202021: 4 publications212022: 4 publications222023: 6 publications232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • The FASEB Journal×7
  • Medicine & Science in Sports & Exercise×6
  • Journal of Applied Physiology×4
  • bioRxiv (Cold Spring Harbor Laboratory)×3
  • Connective Tissue Research×2
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By research-topic overlap
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  • Gregory C. Henderson

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  • Joshua Hudson

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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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