LabCompass

Rachel E. Cianciolo

Medicine · The Ohio State University

Mid career · publishing since 2005

Publications

134

Citations

2,037

Est. group size

~1

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Rachel E. Cianciolo studies kidney disease, primarily in dogs and cats, focusing on how glomeruli (the kidney's filtering units) and tubules are damaged in conditions such as glomerulonephropathy, acute kidney injury, and proteinuria (protein loss in urine). Her work combines clinical case studies, pathology (microscopic tissue examination), and some biomarker and imaging-based approaches, including recent exploration of deep learning tools for classifying kidney tissue changes. This research is largely relevant to veterinary medicine but has parallels to human kidney disease research.

Veterinary kidney disease (nephropathy)Glomerular and tubular pathologyAcute kidney injury and biomarkersRenal disease diagnostics (including deep learning classification)Comparative and companion animal medicine

Publication output was relatively steady from 2017 to 2021 but has declined noticeably in recent years, dropping from double digits annually to only a few papers per year by 2023-2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
2017: 12 publications172018: 17 publications17182019: 9 publications192020: 12 publications202021: 16 publications212022: 9 publications222023: 6 publications232024: 2 publications242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • Journal of Veterinary Internal Medicine×9
  • Journal of the American Veterinary Medical Association×6
  • Veterinary Pathology×5
  • Elsevier eBooks×5
  • PLoS ONE×4
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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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