D. P. Casper

4.2k total citations
127 papers, 2.8k citations indexed

About

D. P. Casper is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, D. P. Casper has authored 127 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Agronomy and Crop Science, 37 papers in Animal Science and Zoology and 33 papers in Genetics. Recurrent topics in D. P. Casper's work include Ruminant Nutrition and Digestive Physiology (91 papers), Reproductive Physiology in Livestock (39 papers) and Genetic and phenotypic traits in livestock (31 papers). D. P. Casper is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (91 papers), Reproductive Physiology in Livestock (39 papers) and Genetic and phenotypic traits in livestock (31 papers). D. P. Casper collaborates with scholars based in United States, China and Netherlands. D. P. Casper's co-authors include D.J. Schingoethe, E. Kebreab, V. A. Wilkerson, D.R. Mertens, L.E. Moraes, R.A. Erdman, J.G. Fadel, R.J. Baer, Jian Wu and Chengjian Yang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Global Change Biology.

In The Last Decade

D. P. Casper

117 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
D. P. Casper	2.2k	828	688	403	361	127	2.8k
N. E. Odongo	1.9k 0.9×	539 0.7×	738 1.1×	297 0.7×	442 1.2×	96	2.7k
Mary Beth Hall	2.8k 1.3×	969 1.2×	746 1.1×	336 0.8×	387 1.1×	92	3.7k
Jorge Alberto Elizondo-Salazar	2.4k 1.1×	1.0k 1.2×	811 1.2×	333 0.8×	245 0.7×	81	3.2k
M. L. Eastridge	2.2k 1.0×	976 1.2×	580 0.8×	389 1.0×	180 0.5×	125	2.6k
E.S. Kolver	2.5k 1.1×	1.3k 1.6×	666 1.0×	385 1.0×	323 0.9×	49	3.1k
R. Berthiaume	2.1k 1.0×	725 0.9×	640 0.9×	314 0.8×	177 0.5×	87	2.8k
P.J. Kononoff	2.4k 1.1×	1.2k 1.4×	749 1.1×	177 0.4×	325 0.9×	108	3.0k
T. Hvelplund	2.5k 1.1×	909 1.1×	652 0.9×	320 0.8×	290 0.8×	105	3.0k
R. Puchała	2.1k 0.9×	995 1.2×	820 1.2×	157 0.4×	364 1.0×	177	2.8k
W. J. Wales	2.6k 1.2×	1.6k 2.0×	1.1k 1.6×	308 0.8×	595 1.6×	149	3.8k

Countries citing papers authored by D. P. Casper

Since Specialization

Citations

This map shows the geographic impact of D. P. Casper'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 D. P. Casper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. P. Casper more than expected).

Fields of papers citing papers by D. P. Casper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. P. Casper. 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 D. P. Casper. The network helps show where D. P. Casper may publish in the future.

Co-authorship network of co-authors of D. P. Casper

This figure shows the co-authorship network connecting the top 25 collaborators of D. P. Casper. A scholar is included among the top collaborators of D. P. Casper 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 D. P. Casper. D. P. Casper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nair, Mahesh N., Lily Edwards-Callaway, Kimberly R Stackhouse-Lawson, et al.. (2025). An essential oil blend fed for growth performance and carcass characteristics to feedlot steers. Translational Animal Science. 9. txaf065–txaf065.

Casper, D. P., et al.. (2024). Male Holstein calves fed a milk replacer and pelleted calf starter containing a botanical extract or a direct-fed microbial alone or in combination. Journal of Dairy Science. 107(12). 10838–10850. 3 indexed citations

Casper, D. P., et al.. (2024). Holstein calves fed a milk replacer with a direct-fed microbial and a starter containing a botanical extract or a direct-fed microbial alone or in combination. Journal of Dairy Science. 107(10). 8021–8033. 3 indexed citations

Liu, Ting, et al.. (2024). Growth performance of neonatal Holstein heifers fed acidified waste milk containing essential oil blend and encapsulated butyrate alone or in combination. Journal of Dairy Science. 108(2). 1509–1526. 2 indexed citations

Casper, D. P., et al.. (2024). Choice white grease used for manufacturing a protein-encapsulated fat blend source for neonatal calves. Journal of Dairy Science. 108(2). 1527–1537. 1 indexed citations

Rodriguez, Brandon, et al.. (2023). Comparison of growth performance and tissue cobalt concentrations in beef cattle fed inorganic and organic cobalt sources. Translational Animal Science. 7(1). txad120–txad120. 7 indexed citations

Casper, D. P., et al.. (2021). Lactobacillus plantarum GB LP-1 as a direct-fed microbial for neonatal calves. Journal of Dairy Science. 104(5). 5557–5568. 21 indexed citations

Liu, Ting, et al.. (2020). Calf starter containing a blend of essential oils and prebiotics affects the growth performance of Holstein calves. Journal of Dairy Science. 103(3). 2315–2323. 39 indexed citations

Liu, Ting, et al.. (2020). Feeding an amino acid–formulated milk replacer for Holstein calves during 2 time periods. Journal of Dairy Science. 103(11). 10108–10121. 6 indexed citations

10.

Zhou, Rui, Jian Wu, Liping Zhang, et al.. (2019). Effects of oregano essential oil on the ruminal pH and microbial population of sheep. PLoS ONE. 14(5). e0217054–e0217054. 40 indexed citations

11.

Clapper, J. A., et al.. (2019). Short communication: Feeding a rumen-degradable amino acid affects plasma thyroxine and triiodothyronine concentrations. Journal of Dairy Science. 102(7). 6679–6681. 2 indexed citations

12.

Reed, K.F., et al.. (2017). Estimating the energetic cost of feeding excess dietary nitrogen to dairy cows. Journal of Dairy Science. 100(9). 7116–7126. 41 indexed citations

13.

Hippen, A. R., et al.. (2016). Single-dose infusion of sodium butyrate, but not lactose, increases plasma β-hydroxybutyrate and insulin in lactating dairy cows. Journal of Dairy Science. 100(1). 757–768. 22 indexed citations

14.

Reed, K.F., D. P. Casper, J. France, & E. Kebreab. (2015). Prediction of nitrogen efficiency in dairy cattle: a review.. CABI Reviews. 1–12. 9 indexed citations

15.

Reed, K.F., L.E. Moraes, D. P. Casper, & E. Kebreab. (2015). Predicting nitrogen excretion from cattle. Journal of Dairy Science. 98(5). 3025–3035. 51 indexed citations

16.

Arriola, K.G., O.C.M. Queiroz, Juan José Romero, et al.. (2014). Effect of microbial inoculants on the quality and aerobic stability of bermudagrass round-bale haylage. Journal of Dairy Science. 98(1). 478–485. 48 indexed citations

17.

Knowlton, K.F., V. A. Wilkerson, D. P. Casper, & D.R. Mertens. (2010). Manure nutrient excretion by Jersey and Holstein cows. Journal of Dairy Science. 93(1). 407–412. 25 indexed citations

18.

Baer, R.J., et al.. (1991). Influence of Milk Fat Higher in Unsaturated Fatty Acids on the Accuracy of Milk Fat Analyses by the Mid-Infrared Spectroscopic Method. Journal of Food Protection. 54(11). 890–893. 21 indexed citations

19.

Schingoethe, D.J., et al.. (1990). Lactational response of dairy cows to diets containing added fats from extruded soybeans and Megalac.. Journal of Dairy Science. 73. 3 indexed citations

20.

Casper, D. P.. (1989). Readily Fermentable Nonstructural Carbohydrates in Lactating Dairy Cattle Rations. Open PRAIRIE (South Dakota State University). 1 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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