E.P. Stanisiewski

1.2k total citations
32 papers, 883 citations indexed

About

E.P. Stanisiewski is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, E.P. Stanisiewski has authored 32 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 14 papers in Animal Science and Zoology and 14 papers in Genetics. Recurrent topics in E.P. Stanisiewski's work include Reproductive Physiology in Livestock (14 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Effects of Environmental Stressors on Livestock (10 papers). E.P. Stanisiewski is often cited by papers focused on Reproductive Physiology in Livestock (14 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Effects of Environmental Stressors on Livestock (10 papers). E.P. Stanisiewski collaborates with scholars based in United States, Norway and Japan. E.P. Stanisiewski's co-authors include H. A. Tucker, L. T. Chapin, G.F. Hartnell, M.J. VandeHaar, R.P. Radcliff, S. A. Zinn, Thomas E. Pilbeam, D.K. Beede, N. Kent Ames and G.E. Dahl and has published in prestigious journals such as Journal of Dairy Science, Life Sciences and Journal of Animal Science.

In The Last Decade

E.P. Stanisiewski

32 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E.P. Stanisiewski United States 20 487 383 241 239 155 32 883
D.L. Harmon United States 19 931 1.9× 466 1.2× 273 1.1× 75 0.3× 77 0.5× 35 1.2k
T.H. Short United States 16 363 0.7× 1.3k 3.4× 591 2.5× 219 0.9× 192 1.2× 28 1.6k
A. Schürch Switzerland 10 430 0.9× 200 0.5× 231 1.0× 93 0.4× 180 1.2× 22 821
J. Croom United States 10 355 0.7× 136 0.4× 354 1.5× 87 0.4× 160 1.0× 19 838
Maria Luisa Dettori Italy 22 742 1.5× 774 2.0× 322 1.3× 50 0.2× 185 1.2× 84 1.3k
Christian Van Eenaeme Belgium 18 518 1.1× 326 0.9× 622 2.6× 47 0.2× 94 0.6× 63 1.2k
B. Moioli Italy 24 430 0.9× 1.0k 2.7× 306 1.3× 60 0.3× 362 2.3× 69 1.4k
Mariasilvia D’Andrea Italy 16 230 0.5× 600 1.6× 183 0.8× 76 0.3× 202 1.3× 66 984
Rogério Abdallah Curi Brazil 20 177 0.4× 785 2.0× 387 1.6× 115 0.5× 189 1.2× 111 1.3k
Yoshinobu Uemoto Japan 22 163 0.3× 977 2.6× 521 2.2× 122 0.5× 196 1.3× 95 1.3k

Countries citing papers authored by E.P. Stanisiewski

Since Specialization
Citations

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

Fields of papers citing papers by E.P. Stanisiewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E.P. Stanisiewski

This figure shows the co-authorship network connecting the top 25 collaborators of E.P. Stanisiewski. A scholar is included among the top collaborators of E.P. Stanisiewski 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 E.P. Stanisiewski. E.P. Stanisiewski 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.
Stanisiewski, E.P., et al.. (2012). Evaluation of two doses of ceftiofur crystalline free acid sterile suspension for treatment of metritis in lactating dairy cows. Journal of Dairy Science. 95(8). 4363–4371. 60 indexed citations
2.
Peterson, B. A., Y. Hyun, E.P. Stanisiewski, G.F. Hartnell, & Michael Ellis. (2008). Performance of growing–finishing pigs fed diets containing Roundup Ready wheat (MON 71800), a non-transgenic genetically similar wheat, or conventional wheat varieties. animal. 2(11). 1602–1609. 3 indexed citations
3.
Pol, Kyle J. Vander, Galen E. Erickson, L. L. Berger, et al.. (2005). Effects of grazing residues or feeding corn from a corn rootworm-protected hybrid (MON 863) compared with reference hybrids on animal performance and carcass characteristics1. Journal of Animal Science. 83(12). 2826–2834. 4 indexed citations
4.
Hyun, Y., Robert L. Fischer, Phillip S. Miller, et al.. (2005). Performance of growing-finishing pigs fed diets containing YieldGard Rootworm corn (MON 863), a nontransgenic genetically similar corn, or conventional corn hybrids. Journal of Animal Science. 83(7). 1581–1590. 14 indexed citations
5.
Taylor, Martha L., et al.. (2004). Comparison of Broiler Performance when Fed Diets Containing Roundup Ready (Event RT73), Nontransgenic Control, or Commercial Canola Meal. Poultry Science. 83(3). 456–461. 19 indexed citations
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Radcliff, R.P., M.J. VandeHaar, L. T. Chapin, et al.. (2000). Effects of Diet and Injection of Bovine Somatotropin on Prepubertal Growth and First-Lactation Milk Yields of Holstein Cows. Journal of Dairy Science. 83(1). 23–29. 92 indexed citations
10.
Stanisiewski, E.P., et al.. (1999). Effects of Long Daily Photoperiod and Bovine Somatotropin (Trobest®) on Milk Yield in Cows. Journal of Dairy Science. 82(8). 1716–1722. 54 indexed citations
11.
Radcliff, R.P., M.J. VandeHaar, A.L. Skidmore, et al.. (1997). Effects of Diet and Bovine Somatotropin on Heifer Growth and Mammary Development. Journal of Dairy Science. 80(9). 1996–2003. 73 indexed citations
12.
Cromwell, G. L., G. W. Davis, W. E. Morgan Morrow, et al.. (1996). Efficacy of the antimicrobial compound U-82,127 as a growth promoter for growing-finishing pigs.. Journal of Animal Science. 74(6). 1284–1284. 28 indexed citations
13.
Tucker, H. A., et al.. (1994). Production Responses of Cows to Recombinantly Derived Bovine Somatotropin and to Frequency of Milking. Journal of Dairy Science. 77(9). 2509–2517. 23 indexed citations
14.
Stanisiewski, E.P., et al.. (1994). Production performance of dairy cattle administered recombinantly derived bovine somatotropin (USAN, SOMAVUBOVE) daily: A dose range study. Domestic Animal Endocrinology. 11(3). 239–260. 5 indexed citations
15.
Bergen, Werner G., M.J. VandeHaar, D.J. Sprecher, et al.. (1994). Protein and Fat Metabolism in Cows Given Somavubove Before Parturition. Journal of Dairy Science. 77(7). 1835–1847. 32 indexed citations
16.
Stanisiewski, E.P., L. F. Krabill, & J. W. Lauderdale. (1992). Milk Yield, Health, and Reproduction of Dairy Cows Given Somatotropin (Somavubove) Beginning Early Postpartum. Journal of Dairy Science. 75(8). 2149–2164. 29 indexed citations
17.
Stanisiewski, E.P., et al.. (1991). Milk Yield of Dairy Cows Receiving Somatotropin (Somavubove) Daily with Periodic 14-Day Interruption. Journal of Dairy Science. 74(12). 4195–4201. 1 indexed citations
18.
Malven, P.V., et al.. (1990). Ovine Brain Areas Sensitive to Naloxone-Induced Stimulation of Luteinizing Hormone Release. Neuroendocrinology. 52(4). 373–381. 18 indexed citations
19.
Godoy, Alejandro Villa, et al.. (1990). Influence of Energy Balance and Body Condition on Estrus and Estrous Cycles in Holstein Heifers. Journal of Dairy Science. 73(10). 2759–2765. 52 indexed citations
20.
Zinn, S. A., L. T. Chapin, W. J. Enright, et al.. (1988). Growth, Carcass Composition and Plasma Melatonin in Postpubertal Beef Heifers Fed Melatonin2. Journal of Animal Science. 66(1). 21–27. 27 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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