Christian Koch

1.3k total citations
66 papers, 1.0k citations indexed

About

Christian Koch is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Christian Koch has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Agronomy and Crop Science, 16 papers in Animal Science and Zoology and 14 papers in Genetics. Recurrent topics in Christian Koch's work include Reproductive Physiology in Livestock (33 papers), Ruminant Nutrition and Digestive Physiology (24 papers) and Effects of Environmental Stressors on Livestock (13 papers). Christian Koch is often cited by papers focused on Reproductive Physiology in Livestock (33 papers), Ruminant Nutrition and Digestive Physiology (24 papers) and Effects of Environmental Stressors on Livestock (13 papers). Christian Koch collaborates with scholars based in Germany, Iran and Singapore. Christian Koch's co-authors include G. Dusel, Klaus Eder, H.M. Hammon, H. Sauerwein, H. Sadri, Denise K. Geßner, Anne Winkler, Erika Most, David Gitlin and Eva Herzog and has published in prestigious journals such as Nature, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Christian Koch

64 papers receiving 992 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christian Koch Germany 20 561 285 275 199 146 66 1.0k
M. Vailati-Riboni United States 20 795 1.4× 328 1.2× 198 0.7× 302 1.5× 218 1.5× 58 1.3k
Jeanne L. Burton United States 22 867 1.5× 358 1.3× 376 1.4× 279 1.4× 189 1.3× 27 1.7k
D. Luchini United States 20 971 1.7× 228 0.8× 173 0.6× 278 1.4× 272 1.9× 50 1.5k
Abdulrahman S. Alharthi Saudi Arabia 18 450 0.8× 338 1.2× 127 0.5× 135 0.7× 183 1.3× 79 981
Olimpia Barbato Italy 17 367 0.7× 244 0.9× 173 0.6× 264 1.3× 126 0.9× 78 792
J. S. Osorio United States 23 1.0k 1.8× 337 1.2× 263 1.0× 409 2.1× 333 2.3× 59 1.7k
Susana Astiz Spain 22 429 0.8× 313 1.1× 189 0.7× 359 1.8× 154 1.1× 105 1.4k
Fernanda Batistel United States 20 744 1.3× 200 0.7× 118 0.4× 252 1.3× 179 1.2× 62 1.1k
C. Parys Germany 21 1.1k 2.0× 278 1.0× 160 0.6× 400 2.0× 288 2.0× 46 1.5k
A. F. Keating United States 16 333 0.6× 444 1.6× 219 0.8× 180 0.9× 161 1.1× 26 935

Countries citing papers authored by Christian Koch

Since Specialization
Citations

This map shows the geographic impact of Christian Koch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christian Koch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Koch more than expected).

Fields of papers citing papers by Christian Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Koch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christian Koch. The network helps show where Christian Koch may publish in the future.

Co-authorship network of co-authors of Christian Koch

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Koch. A scholar is included among the top collaborators of Christian Koch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christian Koch. Christian Koch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
García-González, R., et al.. (2025). Effects of a novel bacterial 6-phytase on nutrient digestibility in lactating dairy cows. Journal of Dairy Science. 108(4). 3690–3699.
2.
Oster, Michael, Winfried Otten, Klaus Failing, et al.. (2025). The parturition-relevant hormone profile in hyper-prolific sows under different housing conditions. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 53(2). 91–108. 1 indexed citations
3.
Ghaffari, Mohtasham, H. Sadri, Nares Trakooljul, Christian Koch, & H. Sauerwein. (2023). Liver transcriptome profiles of dairy cows with different serum metabotypes. Journal of Dairy Science. 107(3). 1751–1765. 5 indexed citations
4.
Koch, Christian, et al.. (2023). Ultrasound characterization of mammary gland development in heifer calves fed at two different levels until weaning. Anatomia Histologia Embryologia. 52(3). 500–511. 2 indexed citations
5.
Koch, Christian, et al.. (2022). Estimation of Individual Glucose Reserves in High-Yielding Dairy Cows. SHILAP Revista de lepidopterología. 3(3). 438–464. 6 indexed citations
6.
Häußler, Susanne, H. Sadri, Cornelia Prehn, et al.. (2022). Blood and adipose tissue steroid metabolomics and mRNA expression of steroidogenic enzymes in periparturient dairy cows differing in body condition. Scientific Reports. 12(1). 2297–2297. 7 indexed citations
7.
Ghaffari, Morteza Hosseini, et al.. (2022). Effects of different feeding levels during a 14-week preweaning phase in dairy heifer calves on telomere length and mitochondrial DNA copy number in blood. Journal of Dairy Science. 105(10). 8509–8522. 2 indexed citations
9.
Sadri, H., et al.. (2020). Discovery of different metabotypes in overconditioned dairy cows by means of machine learning. Journal of Dairy Science. 103(10). 9604–9619. 12 indexed citations
10.
Hammon, H.M., et al.. (2020). Review: Importance of colostrum supply and milk feeding intensity on gastrointestinal and systemic development in calves. animal. 14(S1). s133–s143. 81 indexed citations
11.
Sadri, H., Sarah Egert, Peter Stehle, et al.. (2020). Branched-chain amino acids: Abundance of their transporters and metabolizing enzymes in adipose tissue, skeletal muscle, and liver of dairy cows at high or normal body condition. Journal of Dairy Science. 103(3). 2847–2863. 28 indexed citations
14.
Ghaffari, Mohtasham, H. Sadri, G. Dusel, et al.. (2019). Biogenic amines: Concentrations in serum and skeletal muscle from late pregnancy until early lactation in dairy cows with high versus normal body condition score. Journal of Dairy Science. 102(7). 6571–6586. 19 indexed citations
16.
Zeitz, Johanna O., Axel Weber, Erika Most, et al.. (2018). Effects of supplementing rumen-protected niacin on fiber composition and metabolism of skeletal muscle in dairy cows during early lactation. Journal of Dairy Science. 101(9). 8004–8020. 13 indexed citations
17.
Ringseis, Robert, Johanna O. Zeitz, Axel Weber, Christian Koch, & Klaus Eder. (2018). Hepatic transcript profiling in early-lactation dairy cows fed rumen-protected niacin during the transition from late pregnancy to lactation. Journal of Dairy Science. 102(1). 365–376. 22 indexed citations
18.
Koch, Christian, G. Dusel, Klaus Eder, et al.. (2017). Ad libitum milk replacer feeding, but not butyrate supplementation, affects growth performance as well as metabolic and endocrine traits in Holstein calves. Journal of Dairy Science. 100(8). 6648–6661. 40 indexed citations
19.
Hill, Martin, Christian Koch, J. Rehage, et al.. (2015). The rapid increase of circulating adiponectin in neonatal calves depends on colostrum intake. Journal of Dairy Science. 98(10). 7044–7051. 23 indexed citations
20.
Geßner, Denise K., Christian Koch, Anne Winkler, et al.. (2015). The effect of grape seed and grape marc meal extract on milk performance and the expression of genes of endoplasmic reticulum stress and inflammation in the liver of dairy cows in early lactation. Journal of Dairy Science. 98(12). 8856–8868. 74 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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