L.E. Moraes

1.6k total citations
62 papers, 1.2k citations indexed

About

L.E. Moraes is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, L.E. Moraes has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Agronomy and Crop Science, 24 papers in Animal Science and Zoology and 24 papers in Genetics. Recurrent topics in L.E. Moraes's work include Ruminant Nutrition and Digestive Physiology (24 papers), Genetic and phenotypic traits in livestock (18 papers) and Effects of Environmental Stressors on Livestock (18 papers). L.E. Moraes is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (24 papers), Genetic and phenotypic traits in livestock (18 papers) and Effects of Environmental Stressors on Livestock (18 papers). L.E. Moraes collaborates with scholars based in United States, Canada and Netherlands. L.E. Moraes's co-authors include E. Kebreab, J.G. Fadel, D. P. Casper, Eloise S. Fogarty, David L. Swain, Mark Trotter, G. M. Cronin, Anders Bjerring Strathe, J. France and Caitlin Cooper and has published in prestigious journals such as Scientific Reports, Global Change Biology and Journal of Dairy Science.

In The Last Decade

L.E. Moraes

60 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
L.E. Moraes 524 432 285 267 262 62 1.2k
Sam De Campeneere 680 1.3× 613 1.4× 328 1.2× 149 0.6× 250 1.0× 76 1.2k
H. van Laar 724 1.4× 402 0.9× 307 1.1× 132 0.5× 246 0.9× 59 1.2k
Sanne van Gastelen 960 1.8× 307 0.7× 318 1.1× 303 1.1× 135 0.5× 40 1.2k
Anne Louise Frydendahl Hellwing 1.1k 2.0× 352 0.8× 296 1.0× 349 1.3× 99 0.4× 67 1.5k
Fuminori Terada 647 1.2× 262 0.6× 185 0.6× 202 0.8× 115 0.4× 91 1.1k
Thierry Ribeiro Tomich 689 1.3× 384 0.9× 228 0.8× 141 0.5× 173 0.7× 111 1.1k
J.A.D.R.N. Appuhamy 555 1.1× 257 0.6× 323 1.1× 167 0.6× 121 0.5× 28 968
F. Sutter 810 1.5× 292 0.7× 263 0.9× 212 0.8× 158 0.6× 35 1.2k
Hiroyuki Hirooka 490 0.9× 425 1.0× 638 2.2× 365 1.4× 182 0.7× 144 1.6k
Roger Cady 441 0.8× 222 0.5× 318 1.1× 422 1.6× 115 0.4× 20 970

Countries citing papers authored by L.E. Moraes

Since Specialization
Citations

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

Fields of papers citing papers by L.E. Moraes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.E. Moraes

This figure shows the co-authorship network connecting the top 25 collaborators of L.E. Moraes. A scholar is included among the top collaborators of L.E. Moraes 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 L.E. Moraes. L.E. Moraes 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.
Moraes, L.E., L.H. Baumgard, J.E.P. Santos, et al.. (2023). Modeling the effects of heat stress in animal performance and enteric methane emissions in lactating dairy cows. Journal of Dairy Science. 106(7). 4725–4737. 11 indexed citations
2.
Mitchell, Kathy E., et al.. (2023). Assessing milk response to different combinations of branched-chain volatile fatty acids and valerate in Jersey cows. Journal of Dairy Science. 106(6). 4018–4029. 9 indexed citations
3.
Moraes, L.E., et al.. (2023). Prediction models of reticulorumen particles and solutes passage rate in growing goats. animal. 17. 100970–100970. 1 indexed citations
4.
Moraes, L.E., et al.. (2021). Effect of glucose concentration and cryopreservation on mitochondrial functions of bull spermatozoa and relationship with sire conception rate. Animal Reproduction Science. 230. 106779–106779. 15 indexed citations
5.
Eastridge, M. L., et al.. (2021). Organization of mammary blood vessels as affected by mammary parenchymal region and estradiol administration in Holstein heifer calves. Journal of Dairy Science. 104(5). 6200–6211. 3 indexed citations
6.
7.
Rodrigues, João Paulo Pacheco, Polyana Pizzi Rotta, J. S. Caton, et al.. (2020). Energy and protein requirements of Holstein × Gyr crossbred heifers. animal. 14(9). 1857–1866. 13 indexed citations
8.
Creutzinger, K.C., H.M. Dann, L.E. Moraes, P.D. Krawczel, & Kathryn L. Proudfoot. (2020). Effects of prepartum stocking density and a blind on physiological biomarkers, health, and hygiene of transition Holstein dairy cows. Journal of Dairy Science. 104(1). 886–898. 10 indexed citations
9.
Moraes, L.E., et al.. (2020). Association between different types of within-farm worker movements and number of pigs weaned per sow in U.S. Swine farms. Preventive Veterinary Medicine. 186. 105207–105207. 10 indexed citations
10.
Nickerson, S.C., et al.. (2019). Use of commercial somatic cell counters to quantify somatic cells in non-lactating bovine mammary gland secretions. Preventive Veterinary Medicine. 174. 104775–104775. 5 indexed citations
11.
Relling, Alejandro E, et al.. (2019). Short communication: pharmacokinetics of oxytocin administered intranasally to beef cattle. Domestic Animal Endocrinology. 71. 106387–106387. 7 indexed citations
12.
Dolecheck, K.A., A. García-Guerra, & L.E. Moraes. (2019). Quantifying the effects of mastitis on the reproductive performance of dairy cows: A meta-analysis. Journal of Dairy Science. 102(9). 8454–8477. 19 indexed citations
13.
Zapata, Isain, L.E. Moraes, Elise Fiala, et al.. (2019). Risk-modeling of dog osteosarcoma genome scans shows individuals with Mendelian-level polygenic risk are common. BMC Genomics. 20(1). 226–226. 18 indexed citations
14.
Lingen, Henk J. van, J.G. Fadel, L.E. Moraes, A. Bannink, & J. Dijkstra. (2019). Bayesian mechanistic modeling of thermodynamically controlled volatile fatty acid, hydrogen and methane production in the bovine rumen. Journal of Theoretical Biology. 480. 150–165. 23 indexed citations
15.
Kebreab, E., et al.. (2018). Summaries of Communications. Canadian Journal of Animal Science. 98(4). 902–906.
16.
Lingen, Henk J. van, J.G. Fadel, L.E. Moraes, et al.. (2018). Dynamics of volatile fatty acids, hydrogen, and methane in dairy cattle: A model of rumen metabolic pathways. Socio-Environmental Systems Modeling. 2 indexed citations
17.
Moraes, L.E., et al.. (2017). Short communication: Urea hydrolysis in dairy cattle manure under different temperature, urea, and pH conditions. Journal of Dairy Science. 100(3). 2388–2394. 13 indexed citations
18.
Moraes, L.E., Matthew J. Blow, Hailan Piao, et al.. (2017). Resequencing and annotation of the Nostoc punctiforme ATTC 29133 genome: facilitating biofuel and high-value chemical production. AMB Express. 7(1). 42–42. 10 indexed citations
19.
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
20.
Cooper, Caitlin, L.E. Moraes, James D. Murray, & Sean D. Owens. (2014). Hematologic and biochemical reference intervals for specific pathogen free 6-week-old Hampshire-Yorkshire crossbred pigs. Journal of Animal Science and Biotechnology. 5(1). 5–5. 62 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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