David E. Amrine

816 total citations
48 papers, 619 citations indexed

About

David E. Amrine is a scholar working on Microbiology, Small Animals and Agronomy and Crop Science. According to data from OpenAlex, David E. Amrine has authored 48 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Microbiology, 17 papers in Small Animals and 17 papers in Agronomy and Crop Science. Recurrent topics in David E. Amrine's work include Microbial infections and disease research (29 papers), Animal Disease Management and Epidemiology (14 papers) and Effects of Environmental Stressors on Livestock (14 papers). David E. Amrine is often cited by papers focused on Microbial infections and disease research (29 papers), Animal Disease Management and Epidemiology (14 papers) and Effects of Environmental Stressors on Livestock (14 papers). David E. Amrine collaborates with scholars based in United States, Germany and France. David E. Amrine's co-authors include Brad J. White, Robert L. Larson, Miles E. Theurer, Derek A. Mosier, David E. Anderson, Matt D. Miesner, Jeffrey Lakritz, Michael W. Sanderson, Shi Chen and Cristina Lanzas and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Animal Science.

In The Last Decade

David E. Amrine

45 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David E. Amrine United States 16 275 272 208 185 96 48 619
Terry J. Engelken United States 13 202 0.7× 193 0.7× 152 0.7× 137 0.7× 63 0.7× 32 563
Miles E. Theurer United States 14 317 1.2× 379 1.4× 294 1.4× 243 1.3× 118 1.2× 58 750
Sébastien Assié France 16 294 1.1× 158 0.6× 131 0.6× 245 1.3× 150 1.6× 46 620
Jozefien Callens Belgium 11 237 0.9× 193 0.7× 113 0.5× 131 0.7× 80 0.8× 21 469
Oliver C Schunicht Canada 14 329 1.2× 122 0.4× 84 0.4× 188 1.0× 117 1.2× 29 556
Synnøve Vatn Norway 14 83 0.3× 358 1.3× 110 0.5× 134 0.7× 41 0.4× 28 528
Neal E. Woollen United States 10 143 0.5× 190 0.7× 87 0.4× 159 0.9× 68 0.7× 18 628
Gregg Hanzlicek United States 12 198 0.7× 113 0.4× 77 0.4× 98 0.5× 84 0.9× 31 442
C. Miry Belgium 14 279 1.0× 115 0.4× 277 1.3× 185 1.0× 74 0.8× 26 707
Eliana Schiavon Italy 12 79 0.3× 166 0.6× 229 1.1× 114 0.6× 23 0.2× 36 440

Countries citing papers authored by David E. Amrine

Since Specialization
Citations

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

Fields of papers citing papers by David E. Amrine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David E. Amrine. 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 David E. Amrine. The network helps show where David E. Amrine may publish in the future.

Co-authorship network of co-authors of David E. Amrine

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Amrine. A scholar is included among the top collaborators of David E. Amrine 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 David E. Amrine. David E. Amrine 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.
Larson, Robert L., et al.. (2023). No evidence for a negative association between bovine leukemia virus status and fertility in Kansas beef herds: a cross-sectional study. American Journal of Veterinary Research. 84(5). 1–6. 1 indexed citations
2.
White, Brad J., et al.. (2023). Retrospective analysis of risk and timing of death from right heart failure in United States and Canadian feedlot necropsied cattle. Journal of the American Veterinary Medical Association. 261(9). 1–7. 1 indexed citations
3.
Apley, Michael D., et al.. (2023). The association of multiple metrics for evaluating antimicrobial use in U.S. beef feedyards. Frontiers in Veterinary Science. 9. 1056476–1056476. 2 indexed citations
4.
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Apley, Michael D., et al.. (2023). Antimicrobial use in 20 U.S. beef feedyards: 2018–2019. Frontiers in Veterinary Science. 10. 1056362–1056362. 8 indexed citations
6.
7.
Picault, Sébastien, et al.. (2022). Modelling the effects of antimicrobial metaphylaxis and pen size on bovine respiratory disease in high and low risk fattening cattle. Veterinary Research. 53(1). 77–77. 7 indexed citations
8.
9.
Godden, S., Randall S. Singer, Jason E. Lombard, et al.. (2022). Improving farm-level antimicrobial stewardship benchmarks by reporting antimicrobial use within the context of both the magnitude of disease pressure and the outcome of therapy. Frontiers in Veterinary Science. 9. 1022557–1022557. 5 indexed citations
10.
11.
Nuttelman, Brandon L., J. P. Hutcheson, W. T. Nichols, et al.. (2021). 274 Effects of Revalor ih/revalor-200 Re-implant Program or Revalor-xh on Performance and Carcass Characteristics of Finishing Heifers Fed for 179, 200, or 221 Days. Journal of Animal Science. 99(Supplement_1). 130–131. 1 indexed citations
12.
Gruenbacher, Don, Jessica L. Heier Stamm, David E. Amrine, et al.. (2020). Impact of truck contamination and information sharing on foot-and-mouth disease spreading in beef cattle production systems. PLoS ONE. 15(10). e0240819–e0240819. 10 indexed citations
13.
Lubbers, Brian V., et al.. (2015). Comparison of Mannheimia haemolytica isolates from an outbreak of bovine respiratory disease. Veterinary Microbiology. 182. 82–86. 6 indexed citations
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Theurer, Miles E., et al.. (2014). Relationship of rectal temperature at first treatment for bovine respiratory disease complex in feedlot calves to probability of not finishing the production cycle normally. American Association of Bovine Practitioners Conference Proceedings. 117–117. 1 indexed citations
16.
White, Brad J., et al.. (2013). Multimodal assessment of biometric changes in injection sites and physiology and behavior in beef calves receiving two different clostridial immunizations compared to negative controls. K-State Research Exchange (Kansas State University). 11(1). 46–55. 2 indexed citations
17.
Anderson, David E., et al.. (2013). Assessment of a commercially available point-of-care assay for the measurement of bovine cardiac troponin I concentration. American Journal of Veterinary Research. 74(6). 870–873. 14 indexed citations
18.
Amrine, David E., Brad J. White, Robert L. Larson, et al.. (2013). Precision and accuracy of clinical illness scores, compared with pulmonary consolidation scores, in Holstein calves with experimentally induced Mycoplasma bovis pneumonia. American Journal of Veterinary Research. 74(2). 310–315. 42 indexed citations
19.
Chen, Shi, Michael W. Sanderson, Brad J. White, David E. Amrine, & Cristina Lanzas. (2013). Temporal-spatial heterogeneity in animal-environment contact: Implications for the exposure and transmission of pathogens. Scientific Reports. 3(1). 3112–3112. 20 indexed citations
20.
Theurer, Miles E., David E. Amrine, & Brad J. White. (2012). Remote Noninvasive Assessment of Pain and Health Status in Cattle. Veterinary Clinics of North America Food Animal Practice. 29(1). 59–74. 56 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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