Megan M Rolf

2.1k total citations
38 papers, 1.3k citations indexed

About

Megan M Rolf is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Megan M Rolf has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 17 papers in Animal Science and Zoology and 11 papers in Agronomy and Crop Science. Recurrent topics in Megan M Rolf's work include Genetic and phenotypic traits in livestock (28 papers), Effects of Environmental Stressors on Livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Megan M Rolf is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Effects of Environmental Stressors on Livestock (15 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Megan M Rolf collaborates with scholars based in United States, New Zealand and Brazil. Megan M Rolf's co-authors include Jeremy F. Taylor, Robert D. Schnabel, Stephanie McKay, Robert L Weaber, Matthew McClure, Jared E. Decker, Jennifer M Bormann, Richard H. Chapple, Dorian J. Garrick and Mahdi Saatchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and PLoS Genetics.

In The Last Decade

Megan M Rolf

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Megan M Rolf United States 15 1.1k 326 280 233 208 38 1.3k
Robert L Weaber United States 19 793 0.7× 363 1.1× 491 1.8× 146 0.6× 109 0.5× 65 1.2k
Deirdre C. Purfield Ireland 19 1.1k 1.0× 335 1.0× 175 0.6× 143 0.6× 283 1.4× 41 1.3k
Marcos S. Lopes Netherlands 26 1.1k 1.0× 151 0.5× 259 0.9× 252 1.1× 237 1.1× 73 1.3k
E. van Marle-Köster South Africa 22 1.0k 0.9× 517 1.6× 542 1.9× 122 0.5× 103 0.5× 103 1.5k
Amparo Martínez Spain 21 1.3k 1.2× 253 0.8× 369 1.3× 89 0.4× 100 0.5× 156 1.7k
Russell McCulloch Australia 13 1.1k 1.0× 183 0.6× 143 0.5× 120 0.5× 274 1.3× 19 1.4k
N. A. Zinovieva Russia 17 950 0.9× 190 0.6× 177 0.6× 177 0.8× 183 0.9× 239 1.4k
Paola Crepaldi Italy 20 782 0.7× 195 0.6× 179 0.6× 201 0.9× 112 0.5× 90 1.2k
J. Jordana Spain 25 1.5k 1.3× 413 1.3× 243 0.9× 85 0.4× 145 0.7× 105 1.9k
Nedenia Bonvino Stafuzza Brazil 17 859 0.8× 249 0.8× 272 1.0× 133 0.6× 209 1.0× 77 1.1k

Countries citing papers authored by Megan M Rolf

Since Specialization
Citations

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

Fields of papers citing papers by Megan M Rolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan M Rolf. 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 Megan M Rolf. The network helps show where Megan M Rolf may publish in the future.

Co-authorship network of co-authors of Megan M Rolf

This figure shows the co-authorship network connecting the top 25 collaborators of Megan M Rolf. A scholar is included among the top collaborators of Megan M Rolf 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 Megan M Rolf. Megan M Rolf 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.
Hidalgo, Jorge, Nora M. Bello, Jennifer M Bormann, et al.. (2025). Beef cattle phenotypic plasticity and stability of dry matter intake and respiration rate across varying levels of temperature humidity index. Journal of Animal Science. 103.
2.
Bormann, Jennifer M, et al.. (2024). A review of cashmere fiber phenotypes: Production, heritabilities, and genetic correlations. Small Ruminant Research. 240. 107369–107369. 4 indexed citations
3.
Foote, Andrew P, et al.. (2024). 150 Effects of diet type on performance and methane yield in replacement beef heifers. Journal of Animal Science. 102(Supplement_1). 75–76.
4.
Bormann, Jennifer M, et al.. (2023). 173 Awardee Talk: Spot Sample Protocol for Gas Quantification of Grazing Beef Cattle Using a Greenfeed. Journal of Animal Science. 101(Supplement_3). 83–84. 5 indexed citations
5.
Krehbiel, C. R., Michelle S. Calvo-Lorenzo, Chris Richards, et al.. (2023). Heritability and variance component estimation for feed and water intake behaviors of feedlot cattle. Journal of Animal Science. 101.
6.
Krehbiel, C. R., Michelle S. Calvo-Lorenzo, Chris Richards, et al.. (2023). PSVII-7 Genetic Evaluation of Feed and Water Intake Behavior Traits in Feedlot Cattle. Journal of Animal Science. 101(Supplement_3). 344–345. 2 indexed citations
7.
Larson, Robert L., et al.. (2022). Evaluation of Differing Genetic Potentials on Beef Cattle Resource Use in the Great Plains. Kansas Agricultural Experiment Station Research Reports. 8(1). 1 indexed citations
8.
Bormann, Jennifer M, et al.. (2021). Genetic parameter estimation for beef bull semen attributes. Journal of Animal Science. 99(2). 9 indexed citations
9.
Bir, Courtney, et al.. (2018). Optimal Beef Cow Weights in the U.S. Southern Plains. SHILAP Revista de lepidopterología. 16 indexed citations
10.
Taylor, Alexandra, C. R. Krehbiel, Michelle S. Calvo-Lorenzo, et al.. (2018). Test duration for water intake, ADG, and DMI in beef cattle1. Journal of Animal Science. 96(8). 3043–3054. 13 indexed citations
11.
Taylor, Adam, C. R. Krehbiel, C. Richards, et al.. (2017). Water Intake in Growing Beef Cattle. Kansas Agricultural Experiment Station Research Reports. 3(1). 1 indexed citations
12.
Taylor, Adam, Sara E Place, Chris Richards, et al.. (2017). Technical note: Validation of an automated system for monitoring and restricting water intake in group-housed beef steers. Journal of Animal Science. 95(9). 4213–4213. 7 indexed citations
13.
Taylor, Adam, Sara E Place, Chris Richards, et al.. (2017). Technical note: Validation of an automated system for monitoring and restricting water intake in group-housed beef steers1,2. Journal of Animal Science. 95(9). 4213–4219. 6 indexed citations
14.
Rolf, Megan M, Dorian J. Garrick, Robert L Weaber, et al.. (2015). Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle. Genetics Selection Evolution. 47(1). 23–23. 36 indexed citations
15.
Decker, Jared E., Stephanie McKay, Megan M Rolf, et al.. (2014). Worldwide Patterns of Ancestry, Divergence, and Admixture in Domesticated Cattle. PLoS Genetics. 10(3). e1004254–e1004254. 336 indexed citations
16.
Saatchi, Mahdi, Robert D. Schnabel, Megan M Rolf, Jeremy F. Taylor, & Dorian J. Garrick. (2012). Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle. Genetics Selection Evolution. 44(1). 38–38. 64 indexed citations
17.
Decker, Jared E., Daniel A. Vasco, Stephanie McKay, et al.. (2012). A novel analytical method, Birth Date Selection Mapping, detects response of the Angus (Bos taurus) genome to selection on complex traits. BMC Genomics. 13(1). 606–606. 31 indexed citations
18.
Saatchi, Mahdi, Stephanie McKay, Megan M Rolf, et al.. (2011). Accuracies of genomic breeding values in American Angus beef cattle using K-means clustering for cross-validation. Genetics Selection Evolution. 43(1). 40–40. 165 indexed citations
19.
Rolf, Megan M, Jeremy F. Taylor, Robert D. Schnabel, et al.. (2011). Genome‐wide association analysis for feed efficiency in Angus cattle. Animal Genetics. 43(4). 367–374. 88 indexed citations
20.
Rolf, Megan M, Jeremy F. Taylor, Robert D. Schnabel, et al.. (2010). Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle. BMC Genetics. 11(1). 24–24. 54 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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