L.S. Caixeta

2.6k total citations
73 papers, 2.0k citations indexed

About

L.S. Caixeta is a scholar working on Agronomy and Crop Science, Genetics and Small Animals. According to data from OpenAlex, L.S. Caixeta has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Agronomy and Crop Science, 29 papers in Genetics and 26 papers in Small Animals. Recurrent topics in L.S. Caixeta's work include Reproductive Physiology in Livestock (41 papers), Genetic and phenotypic traits in livestock (29 papers) and Effects of Environmental Stressors on Livestock (22 papers). L.S. Caixeta is often cited by papers focused on Reproductive Physiology in Livestock (41 papers), Genetic and phenotypic traits in livestock (29 papers) and Effects of Environmental Stressors on Livestock (22 papers). L.S. Caixeta collaborates with scholars based in United States, Italy and Egypt. L.S. Caixeta's co-authors include R.C. Bicalho, V.S. Machado, R.O. Gilbert, J.O. Giordano, M.L. Stangaferro, Mohammed Al‐Abri, R. Wijma, Richard Pereira, Thiago M. A. Santos and M.L.S. Bicalho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

L.S. Caixeta

70 papers receiving 1.9k 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.S. Caixeta United States 22 1.3k 852 678 658 182 73 2.0k
J. Dubuc Canada 24 1.9k 1.4× 915 1.1× 522 0.8× 1.0k 1.6× 346 1.9× 95 2.4k
Miel Hostens Belgium 28 1.2k 0.9× 562 0.7× 616 0.9× 817 1.2× 185 1.0× 91 2.0k
Pedro Meléndez United States 26 1.4k 1.1× 570 0.7× 424 0.6× 849 1.3× 146 0.8× 115 2.0k
M.L.S. Bicalho United States 21 1.1k 0.8× 359 0.4× 222 0.3× 372 0.6× 251 1.4× 32 1.6k
Fábio A. Vannucci United States 21 480 0.4× 312 0.4× 760 1.1× 448 0.7× 79 0.4× 62 1.7k
J.A. Hertl United States 24 2.3k 1.7× 685 0.8× 501 0.7× 1.4k 2.2× 166 0.9× 40 2.7k
M. Reist Switzerland 22 964 0.7× 436 0.5× 298 0.4× 509 0.8× 57 0.3× 64 1.6k
C.L. Guard United States 26 2.2k 1.6× 1.6k 1.9× 989 1.5× 1.3k 2.0× 344 1.9× 67 3.3k
Robert J. Callan United States 25 758 0.6× 372 0.4× 290 0.4× 224 0.3× 215 1.2× 75 1.9k
M.W. Overton United States 21 1.8k 1.4× 743 0.9× 849 1.3× 1.2k 1.9× 98 0.5× 54 2.5k

Countries citing papers authored by L.S. Caixeta

Since Specialization
Citations

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

Fields of papers citing papers by L.S. Caixeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L.S. Caixeta

This figure shows the co-authorship network connecting the top 25 collaborators of L.S. Caixeta. A scholar is included among the top collaborators of L.S. Caixeta 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.S. Caixeta. L.S. Caixeta 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
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Dean, Chris, et al.. (2024). The impact of kit, environment, and sampling contamination on the observed microbiome of bovine milk. mSystems. 9(6). e0115823–e0115823. 8 indexed citations
3.
Shepley, Elise, et al.. (2024). Prepartum behaviors as early indicators for postpartum energy associated biomarkers status in Holstein dairy cows. Polish Journal of Veterinary Sciences. 27(1). 107–116. 1 indexed citations
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Picasso‐Risso, Catalina, et al.. (2023). Evaluating variations in metabolic profiles during the dry period related to the time of hyperketonemia onset in dairy cows. PLoS ONE. 18(8). e0289165–e0289165. 3 indexed citations
6.
Yepes, Francisco A. Leal, et al.. (2023). Evaluation of a point-of-care calcium device in bovine plasma and serum. SHILAP Revista de lepidopterología. 4(5). 390–393. 4 indexed citations
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Gaire, Tara N., et al.. (2023). Effect of castration timing and weaning strategy on the taxonomic and functional profile of ruminal bacteria and archaea of beef calves. SHILAP Revista de lepidopterología. 5(1). 61–61. 1 indexed citations
9.
Cramer, G., Elise Shepley, W.A. Knauer, et al.. (2023). An iterative approach to the development of a sole ulcer induction model in Holstein cows. Journal of Dairy Science. 106(7). 4932–4948. 1 indexed citations
10.
Guo, Yue, W.J. Weber, Dan Yao, et al.. (2021). Forming 4-Methylcatechol as the Dominant Bioavailable Metabolite of Intraruminal Rutin Inhibits p-Cresol Production in Dairy Cows. Metabolites. 12(1). 16–16. 10 indexed citations
11.
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Krumm, Christopher S., Sarah L. Giesy, L.S. Caixeta, et al.. (2019). Fibroblast growth factor-21 (FGF21) administration to early-lactating dairy cows. I. Effects on signaling and indices of insulin action. Journal of Dairy Science. 102(12). 11586–11596. 13 indexed citations
13.
Caixeta, L.S., Sarah L. Giesy, Christopher S. Krumm, et al.. (2019). Fibroblast growth factor-21 (FGF21) administration to early-lactating dairy cows. II. Pharmacokinetics, whole-animal performance, and lipid metabolism. Journal of Dairy Science. 102(12). 11597–11608. 16 indexed citations
14.
Caixeta, L.S., P.A. Ospina, Michael Capel, & D.V. Nydam. (2017). Association between subclinical hypocalcemia in the first 3 days of lactation and reproductive performance of dairy cows. Theriogenology. 94. 1–7. 93 indexed citations
15.
Stangaferro, M.L., R. Wijma, L.S. Caixeta, Mohammed Al‐Abri, & J.O. Giordano. (2016). Use of rumination and activity monitoring for the identification of dairy cows with health disorders: Part II. Mastitis. Journal of Dairy Science. 99(9). 7411–7421. 82 indexed citations
16.
Machado, V.S., M.L.S. Bicalho, Richard Pereira, et al.. (2012). The effect of intrauterine administration of mannose or bacteriophage on uterine health and fertility of dairy cows with special focus on Escherichia coli and Arcanobacterium pyogenes. Journal of Dairy Science. 95(6). 3100–3109. 35 indexed citations
17.
Pereira, Richard, Thiago M. A. Santos, M.L.S. Bicalho, et al.. (2011). Antimicrobial resistance and prevalence of virulence factor genes in fecal Escherichia coli of Holstein calves fed milk with and without antimicrobials. Journal of Dairy Science. 94(9). 4556–4565. 31 indexed citations
18.
Galvão, Klibs N., M. Julia B.F. Flaminio, Martín Fraga, et al.. (2010). Association between uterine disease and indicators of neutrophil and systemic energy status in lactating Holstein cows. Journal of Dairy Science. 93(7). 2926–2937. 185 indexed citations
19.
Bicalho, R.C., V.S. Machado, M.L.S. Bicalho, et al.. (2010). Molecular and epidemiological characterization of bovine intrauterine Escherichia coli. Journal of Dairy Science. 93(12). 5818–5830. 96 indexed citations
20.
Santos, Thiago M. A., et al.. (2010). Antimicrobial resistance and presence of virulence factor genes in Arcanobacterium pyogenes isolated from the uterus of postpartum dairy cows. Veterinary Microbiology. 145(1-2). 84–89. 101 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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