LabCompass

Clarissa A. Cassol

Medicine · The Ohio State University

Mid career · publishing since 2005

Publications

80

Citations

2,072

Est. group size

Recurring co-author estimate

Active years

22

Publishing since 2005

Research summary
AI-generated

Clarissa A. Cassol is a nephropathology researcher who studies kidney diseases such as IgA nephropathy, nephrotic syndrome, transplant rejection, and lupus- and vasculitis-related kidney injury, largely through analysis of kidney biopsy tissue. Her recent work emphasizes computational and machine-learning tools for analyzing kidney biopsy images (including smartphone-based and whole-slide image analysis) to classify disease and predict patient outcomes, often in collaboration with large multi-center cohorts like NEPTUNE. This research would suit students interested in combining kidney pathology with digital pathology, image analysis, or biomarker/outcome prediction in nephrology.

Kidney biopsy pathology and diagnosisMachine learning and image analysis in nephropathologyGlomerular diseases (IgA nephropathy, nephrotic syndrome, FSGS)Kidney transplant rejection and molecular diagnosticsAutoimmune and vasculitis-related kidney disease

Publication output rose from 2017 through a peak around 2020, then fluctuated at a somewhat lower but still active level through 2024, with a decline evident in the most recent 1-2 years of data.

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

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
2017: 2 publications172018: 6 publications182019: 8 publications192020: 15 publications15202021: 9 publications212022: 6 publications222023: 6 publications232024: 9 publications242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • Journal of the American Society of Nephrology×14
  • Kidney International Reports×8
  • Kidney International×4
  • medRxiv×3
  • Nephrology Dialysis Transplantation×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 19, 2026.

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