Sibtain Ahmad
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Also affiliated: University of Lahore (2024); Aarhus University (2024); Huazhong Agricultural University (2011–2024); The University of Agriculture, Peshawar (2022); King Saud University (2024); Lahore Garrison University (2023); Purdue University Fort Wayne (2023); Center for Advanced Studies in Agriculture and Food Security (2022–2024); University of Agriculture Faisalabad (2011–2026); Cranfield University (2023); Bayero University Kano (2016)
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Sibtain Ahmad's research focuses on animal reproduction and physiology, with a particular emphasis on endocrinology and cellular mechanisms. He has investigated the role of melatonin in regulating progesterone production and apoptosis in bovine granulosa cells, examining the involvement of specific melatonin receptors. His work also extends to the mechanisms of inhibin alpha-subunit in the development of Sertoli cells and spermatogenesis in mice, as well as the functional regulation of somatostatin and its receptors in mice Sertoli cell development.
Ahmad has also studied health and production aspects in dromedary camels, including risk factors for mastitis and factors affecting milk yield and composition under desert conditions. Additionally, his research has explored the use of DNA vaccines for reproductive performance in rats and has included haematobiochemical studies on parasitized camels. More recently, his work has touched upon the application of remote sensing in understanding the COVID-19 pandemic.
Metrics
- h-index: 10
- Publications: 45
- Citations: 401
Selected Publications
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Integrated behavioral and machine learning approaches to predict farmer adoption of improved semen technologies and breed improvement program in cattle (2026)
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Genotype-by-Environment Interaction in Dairy Systems: Modelling the Effect of Feeding Strategies on the Lifetime Productivity of Contrasting Cattle Breeds (2026)
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Random regression and Bayesian approaches for longitudinal modelling of lactation performance in dairy buffaloes (2026)
Collaboration Network
Top Collaborators
- Random regression and Bayesian approaches for longitudinal modelling of lactation performance in dairy buffaloes
- Integrated behavioral and machine learning approaches to predict farmer adoption of improved semen technologies and breed improvement program in cattle
- Random regression and Bayesian approaches for longitudinal modelling of lactation performance in dairy buffaloes
- Genotype-by-Environment Interaction in Dairy Systems: Modelling the Effect of Feeding Strategies on the Lifetime Productivity of Contrasting Cattle Breeds
- Genotype-by-Environment Interaction in Dairy Systems: Modelling the Effect of Feeding Strategies on the Lifetime Productivity of Contrasting Cattle Breeds
- Genotype-by-Environment Interaction in Dairy Systems: Modelling the Effect of Feeding Strategies on the Lifetime Productivity of Contrasting Cattle Breeds
- Integrated behavioral and machine learning approaches to predict farmer adoption of improved semen technologies and breed improvement program in cattle
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