R.A. Sterry

538 total citations
12 papers, 433 citations indexed

About

R.A. Sterry is a scholar working on Agronomy and Crop Science, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, R.A. Sterry has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Agronomy and Crop Science, 11 papers in Genetics and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in R.A. Sterry's work include Reproductive Physiology in Livestock (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Reproductive Biology and Fertility (4 papers). R.A. Sterry is often cited by papers focused on Reproductive Physiology in Livestock (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Reproductive Biology and Fertility (4 papers). R.A. Sterry collaborates with scholars based in United States and Brazil. R.A. Sterry's co-authors include P.M. Fricke, M. Welle, Milo C. Wiltbank, Nagappan Mathialagan, J.M. Ballam, Michael McGrath, Jerry Guenther, A.P. Cunha, P.W. Jardon and Heidi M. Rivera and has published in prestigious journals such as Journal of Dairy Science, Theriogenology and Translational Animal Science.

In The Last Decade

R.A. Sterry

12 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.A. Sterry United States 10 412 383 110 83 76 12 433
Abdülkadir Keskin Türkiye 11 426 1.0× 380 1.0× 112 1.0× 58 0.7× 115 1.5× 40 496
A. Ahmadzadeh United States 10 368 0.9× 283 0.7× 117 1.1× 40 0.5× 102 1.3× 35 417
V.K. Taufa New Zealand 9 461 1.1× 347 0.9× 88 0.8× 42 0.5× 74 1.0× 13 476
Cássia Maria Barroso Orlandi Brazil 6 463 1.1× 412 1.1× 138 1.3× 41 0.5× 80 1.1× 23 535
V.G. Santos United States 12 309 0.8× 246 0.6× 88 0.8× 21 0.3× 76 1.0× 22 350
T.C. Bruinjé Canada 12 290 0.7× 182 0.5× 39 0.4× 68 0.8× 106 1.4× 33 323
V. Mariscal United States 10 411 1.0× 326 0.9× 131 1.2× 36 0.4× 79 1.0× 10 440
S. Snijders Ireland 8 351 0.9× 297 0.8× 82 0.7× 21 0.3× 68 0.9× 14 406
M. E. Hockett United States 9 448 1.1× 245 0.6× 102 0.9× 58 0.7× 68 0.9× 13 503
Miller Pereira Palhão Brazil 11 462 1.1× 338 0.9× 196 1.8× 70 0.8× 92 1.2× 33 526

Countries citing papers authored by R.A. Sterry

Since Specialization
Citations

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

Fields of papers citing papers by R.A. Sterry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.A. Sterry. 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 R.A. Sterry. The network helps show where R.A. Sterry may publish in the future.

Co-authorship network of co-authors of R.A. Sterry

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

All Works

12 of 12 papers shown
1.
Bresolin, Tiago, et al.. (2023). Exploring associations among morphometric measurements, genetic group of sire, and performance of beef on dairy calves. Translational Animal Science. 7(1). txad064–txad064. 1 indexed citations
2.
Sterry, R.A., et al.. (2015). Economic Costs and Labor Efficiencies Associated with Raising Dairy Herd Replacements on Wisconsin Dairy Farms and Custom Heifer Raising Operations. 12 indexed citations
3.
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5.
Sterry, R.A., et al.. (2008). Strategic treatment of anovular dairy cows with GnRH. Theriogenology. 71(3). 534–542. 9 indexed citations
6.
Sterry, R.A., et al.. (2007). Assessment of a Practical Method for Identifying Anovular Dairy Cows Synchronized for First Postpartum Timed Artificial Insemination. Journal of Dairy Science. 90(7). 3255–3262. 35 indexed citations
7.
8.
Sterry, R.A., P.W. Jardon, & P.M. Fricke. (2007). Effect of timing of Cosynch on fertility of lactating Holstein cows after first postpartum and Resynch timed-AI services. Theriogenology. 67(7). 1211–1216. 22 indexed citations
9.
Sterry, R.A., et al.. (2007). Effect of Pretreatment with Prostaglandin F2α Before Resynchronization of Ovulation on Fertility of Lactating Dairy Cows. Journal of Dairy Science. 90(12). 5509–5517. 35 indexed citations
10.
Rivera, Heidi M., R.A. Sterry, & P.M. Fricke. (2006). Presynchronization with Gonadotropin-Releasing Hormone Does Not Improve Fertility in Holstein Heifers. Journal of Dairy Science. 89(10). 3810–3816. 17 indexed citations
11.
Sterry, R.A., M. Welle, & P.M. Fricke. (2006). Effect of Interval from Timed Artificial Insemination to Initiation of Resynchronization of Ovulation on Fertility of Lactating Dairy Cows. Journal of Dairy Science. 89(6). 2099–2109. 39 indexed citations
12.
Sterry, R.A., M. Welle, & P.M. Fricke. (2006). Treatment with Gonadotropin-Releasing Hormone After First Timed Artificial Insemination Improves Fertility in Noncycling Lactating Dairy Cows. Journal of Dairy Science. 89(11). 4237–4245. 40 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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