L. H. Cruppe

481 total citations
18 papers, 376 citations indexed

About

L. H. Cruppe is a scholar working on Agronomy and Crop Science, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, L. H. Cruppe has authored 18 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 12 papers in Genetics and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in L. H. Cruppe's work include Reproductive Physiology in Livestock (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (7 papers). L. H. Cruppe is often cited by papers focused on Reproductive Physiology in Livestock (17 papers), Genetic and phenotypic traits in livestock (11 papers) and Ruminant Nutrition and Digestive Physiology (7 papers). L. H. Cruppe collaborates with scholars based in United States, Brazil and Canada. L. H. Cruppe's co-authors include M. L. Day, G. A. Bridges, T. W. Geary, J.L.M. Vasconcelos, R.L.A. Cerri, T.A. Burnett, Liam Polsky, A.M.L. Madureira, B.F. Silper and D. M. Veira and has published in prestigious journals such as Journal of Dairy Science, Biology of Reproduction and Journal of Animal Science.

In The Last Decade

L. H. Cruppe

18 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. H. Cruppe United States 11 342 299 137 97 38 18 376
Alexandre B. Prata Brazil 11 304 0.9× 245 0.8× 88 0.6× 104 1.1× 29 0.8× 21 333
S. Scully Ireland 9 298 0.9× 240 0.8× 75 0.5× 111 1.1× 51 1.3× 10 331
E. M. Jinks United States 6 332 1.0× 270 0.9× 77 0.6× 140 1.4× 31 0.8× 9 361
M. Knights United States 11 344 1.0× 269 0.9× 107 0.8× 92 0.9× 56 1.5× 26 422
J.P.N. Martins United States 13 392 1.1× 339 1.1× 108 0.8× 125 1.3× 21 0.6× 34 431
J. Lüttgenau Switzerland 11 321 0.9× 164 0.5× 87 0.6× 91 0.9× 59 1.6× 21 363
Abdülkadir Keskin Türkiye 11 426 1.2× 380 1.3× 115 0.8× 112 1.2× 58 1.5× 40 496
T.C. Bruinjé Canada 12 290 0.8× 182 0.6× 106 0.8× 39 0.4× 68 1.8× 33 323
B.L. Perry United States 10 314 0.9× 246 0.8× 73 0.5× 92 0.9× 13 0.3× 14 334
Jéssica Nora Drum United States 11 245 0.7× 191 0.6× 59 0.4× 74 0.8× 26 0.7× 25 279

Countries citing papers authored by L. H. Cruppe

Since Specialization
Citations

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

Fields of papers citing papers by L. H. Cruppe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. H. Cruppe

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

All Works

18 of 18 papers shown
1.
Shafii, Bahman, William J. Price, M.D. Utt, et al.. (2019). Angus sire field fertility and in vitro sperm characteristics following use of different sperm insemination doses in Brazilian beef cattle. Theriogenology. 147. 146–153. 10 indexed citations
2.
Cruppe, L. H., M. L. Mussard, G. A. Bridges, et al.. (2018). Role of progesterone concentrations during early follicular development in beef cattle: I. Characteristics of LH secretion and oocyte quality. Animal Reproduction Science. 196. 59–68. 32 indexed citations
3.
Geary, T. W., L. H. Cruppe, M. L. Mussard, et al.. (2018). Role of progesterone concentrations during early follicular development in beef cattle: II. Ovulatory follicle growth and pregnancy rates. Animal Reproduction Science. 196. 69–76. 13 indexed citations
4.
Rodrigues, A. D. P., Reinaldo F Cooke, Rafael Silva Cipriano, et al.. (2018). Impacts of estrus expression and intensity during a timed-AI protocol on variables associated with fertility and pregnancy success in Bos indicus-influenced beef cows1. Journal of Animal Science. 96(1). 236–249. 46 indexed citations
7.
8.
Cooke, Reinaldo F, A. D. P. Rodrigues, Rafael Silva Cipriano, et al.. (2017). 485 Impacts of estrus expression and intensity during a fixed-time AI protocol on parameters associated with fertility and pregnancy success in beef cows. Journal of Animal Science. 95(suppl_4). 237–237. 1 indexed citations
9.
Cruppe, L. H., M.D. Utt, Rafael Silva Cipriano, et al.. (2017). Impact of a timed-release follicle-stimulating hormone treatment from one to three months of age on endocrine and testicular development of prepubertal bulls1. Journal of Animal Science. 95(4). 1669–1679. 5 indexed citations
10.
Madureira, A.M.L., B.F. Silper, T.A. Burnett, et al.. (2015). Factors affecting expression of estrus measured by activity monitors and conception risk of lactating dairy cows. Journal of Dairy Science. 98(10). 7003–7014. 97 indexed citations
11.
Cruppe, L. H., M. L. Day, S. L. Lake, et al.. (2014). The requirement of GnRH at the beginning of the five-day CO-Synch + controlled internal drug release protocol in beef heifers1. Journal of Animal Science. 92(9). 4198–4203. 24 indexed citations
12.
Cruppe, L. H., M. Maquivar, M.D. Utt, et al.. (2014). Effect of follicle age on conception rate in beef heifers1. Journal of Animal Science. 92(3). 1022–1028. 12 indexed citations
13.
Geary, T. W., L. H. Cruppe, E. M. Jinks, et al.. (2014). The effect of follicle age on pregnancy rate in beef cows1. Journal of Animal Science. 92(3). 1015–1021. 10 indexed citations
14.
Bridges, G. A., M. L. Day, T. W. Geary, & L. H. Cruppe. (2013). TRIENNIAL REPRODUCTION SYMPOSIUM: Deficiencies in the uterine environment and failure to support embryonic development1. Journal of Animal Science. 91(7). 3002–3013. 67 indexed citations
15.
Bridges, G. A., Margot L. Day, T. W. Geary, & L. H. Cruppe. (2013). Deficiencies in the uterine environment and failure to support embryonic development. Journal of Animal Science. 18 indexed citations
16.
Bridges, G. A., J. K. Ahola, Cássio Cassal Brauner, et al.. (2012). Determination of the appropriate delivery of prostaglandin F2α in the five-day CO-Synch + controlled intravaginal drug release protocol in suckled beef cows1. Journal of Animal Science. 90(13). 4814–4822. 31 indexed citations
17.
Souto, Marı́a L., L. H. Cruppe, M. Maquivar, et al.. (2010). The Effect of Duration of the Preovulatory Period on the Expression of IFNtau and CSH-1 mRNA by Embryos Collected on Day 17.5 of Pregnancy in Beef Cattle.. Biology of Reproduction. 83(Suppl_1). 259–259. 1 indexed citations
18.
Cruppe, L. H., Marı́a L. Souto, M. Maquivar, et al.. (2010). The Effect of Duration of the Preovulatory Period on Expression of ISG-15, SPP1, and Mx1 mRNA in Endometrial Tissues Collected on Day 17.5 in Pregnant and Cyclic Beef Cattle.. Biology of Reproduction. 83(Suppl_1). 405–405. 1 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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