LabCompass

Alejandro E Relling

Agricultural and Biological Sciences · The Ohio State University

Mid career · publishing since 2007

Publications

193

Citations

1,634

Est. group size

~11

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

Alejandro E Relling studies the nutrition, digestion, and metabolism of livestock, especially cattle and sheep, with a focus on how diet composition (such as fatty acids, protein levels, and rumen additives) affects animal growth, feed efficiency, carcass quality, and reproductive or metabolic health. Much of the work involves feedlot and grazing trials examining practical feeding strategies, along with more mechanistic studies of rumen fermentation, fatty acid metabolism, and hormonal effects on growth. This research is aimed at improving livestock production efficiency and animal health outcomes for the agricultural industry.

Ruminant nutrition and rumen fermentationFeedlot cattle and sheep growth performanceFatty acid and lipid metabolism in livestockReproductive and hormonal physiology in livestockCarcass quality and meat science

Publication output grew from about a dozen papers per year in 2017 to a peak of nearly 30 around 2020, then gradually declined to roughly 7-16 papers per year in 2023-2026, suggesting a slowing trend after an earlier period of growth.

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

Publication cadence
Publications per year over the last 10 years — averaging 14.2/year recently
2017: 12 publications172018: 15 publications182019: 21 publications192020: 28 publications28202021: 18 publications212022: 15 publications222023: 22 publications232024: 16 publications242025: 11 publications252026: 7 publications26
Recent publications
Publishes in
  • Journal of Animal Science×78
  • Translational Animal Science×22
  • Journal of Dairy Science×5
  • PLoS ONE×5
  • Animals×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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