Christian Baumgartner

Bayer (Germany)

Papers

3

Total Citations

55

H-Index

2

About

Christian Baumgartner is a veterinary researcher whose work centers on dairy cow health, with particular expertise in metabolic disorders, udder health, and herd management. His most influential contribution, "Identifying poor metabolic adaptation during early lactation in dairy cows using cluster analysis" (2018, 43 citations), advanced the understanding of poor metabolic adaptation syndrome (PMAS) by demonstrating that hyperketonemia alone is an insufficient diagnostic marker — a finding with significant implications for early intervention strategies on dairy farms. This methodological innovation using cluster analysis offered a more nuanced framework for identifying at-risk animals during the critical transition period. Baumgartner has also made meaningful contributions to udder health research, investigating the prevalence and risk factors for skin conditions such as udder cleft dermatitis and udder edema across Bavarian dairy herds (2022, 10 citations), providing actionable epidemiological data for farm management. His development of the ZellDiX index further reflects his commitment to translating complex somatic cell count data into practical udder health assessment tools. Together, his body of work bridges clinical veterinary science and applied herd management, making him a valuable resource for researchers and practitioners focused on dairy cow welfare and productivity.

Research Focus

Key Achievements

2
H-Index
3
Papers
55
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Identifying poor metabolic adaptation during early lactation in dairy cows using cluster analysis
43 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Bayer (Germany)

Top Papers

  1. 1
  2. 2
  3. 3
    ZellDiX - A new approach to assess udder health by using DHI results and cell differentiation
    2 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago