S.G. Coelho

1.2k total citations
96 papers, 790 citations indexed

About

S.G. Coelho is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, S.G. Coelho has authored 96 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Agronomy and Crop Science, 39 papers in Animal Science and Zoology and 38 papers in Genetics. Recurrent topics in S.G. Coelho's work include Ruminant Nutrition and Digestive Physiology (47 papers), Genetic and phenotypic traits in livestock (36 papers) and Reproductive Physiology in Livestock (33 papers). S.G. Coelho is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (47 papers), Genetic and phenotypic traits in livestock (36 papers) and Reproductive Physiology in Livestock (33 papers). S.G. Coelho collaborates with scholars based in Brazil, United States and Colombia. S.G. Coelho's co-authors include Fernanda Samarini Machado, Thierry Ribeiro Tomich, Luiz Gustavo Ribeiro Pereira, H.M. Saturnino, A.Ú. Carvalho, Mariana Magalhães Campos, Ângela Maria Quintão Lana, R.B. Reis, M. L. Chizzotti and Rafael Alves de Azevedo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

S.G. Coelho

89 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.G. Coelho Brazil 14 478 348 246 244 91 96 790
M. E. Branine United States 16 596 1.2× 406 1.2× 253 1.0× 229 0.9× 52 0.6× 53 931
Fernanda Samarini Machado Brazil 17 584 1.2× 369 1.1× 240 1.0× 234 1.0× 73 0.8× 84 917
Mariana Magalhães Campos Brazil 16 464 1.0× 409 1.2× 212 0.9× 165 0.7× 109 1.2× 102 867
G. Vessie Canada 14 698 1.5× 347 1.0× 241 1.0× 194 0.8× 136 1.5× 17 988
S. J. Bartle United States 18 637 1.3× 496 1.4× 273 1.1× 228 0.9× 47 0.5× 55 1.0k
Severiano Silva Portugal 19 305 0.6× 730 2.1× 320 1.3× 191 0.8× 133 1.5× 77 1.2k
P. L. Dubeski Canada 13 449 0.9× 546 1.6× 308 1.3× 217 0.9× 50 0.5× 23 996
M. E. Hubbert United States 12 536 1.1× 459 1.3× 213 0.9× 292 1.2× 46 0.5× 29 930
Bruno I Cappellozza United States 21 957 2.0× 499 1.4× 414 1.7× 362 1.5× 80 0.9× 127 1.4k
J. L. Kleen Germany 12 808 1.7× 242 0.7× 223 0.9× 291 1.2× 57 0.6× 16 999

Countries citing papers authored by S.G. Coelho

Since Specialization
Citations

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

Fields of papers citing papers by S.G. Coelho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.G. Coelho

This figure shows the co-authorship network connecting the top 25 collaborators of S.G. Coelho. A scholar is included among the top collaborators of S.G. Coelho 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 S.G. Coelho. S.G. Coelho 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.
Campos, Mariana Magalhães, et al.. (2025). Impact of Heat Stress on Intake, Performance, Digestibility, and Health of Neonatal Dairy Calves. Animals. 15(13). 1876–1876. 1 indexed citations
2.
3.
Oliveira, Dário Augusto Borges, Tiago Bresolin, S.G. Coelho, et al.. (2024). A polar transformation augmentation approach for enhancing mammary gland segmentation in ultrasound images. Computers and Electronics in Agriculture. 220. 108825–108825. 2 indexed citations
4.
Coelho, S.G., Fernanda Samarini Machado, Luiz Gustavo Ribeiro Pereira, et al.. (2024). Effects of Supplementing Milk Replacer with Sodium Butyrate on Dairy Calves. Animals. 14(2). 277–277. 3 indexed citations
5.
6.
Rodrigues, João Paulo Pacheco, et al.. (2021). Screening microchip sites to predict body temperature in young calves. Journal of Thermal Biology. 100. 103052–103052. 3 indexed citations
7.
8.
Coelho, S.G., Rafael Alves de Azevedo, Alexandre Lima Ferreira, et al.. (2021). How Divergence for Feed Efficiency Traits Affects Body Measurements and Metabolites in Blood and Ruminal Parameters on Pre-Weaning Dairy Heifers. Animals. 11(12). 3436–3436. 6 indexed citations
9.
Coelho, S.G., Fernanda Samarini Machado, Luiz Gustavo Ribeiro Pereira, et al.. (2021). Effects of a blend of essential oils in milk replacer on performance, rumen fermentation, blood parameters, and health scores of dairy heifers. PLoS ONE. 16(3). e0231068–e0231068. 17 indexed citations
10.
Saturnino, H.M., et al.. (2020). Supplementation with different non-fiber carbohydrate sources in dairy cow diets with high or low rumen-undegradable protein content. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 72(3). 936–946. 3 indexed citations
11.
Coelho, S.G., Rafael Alves de Azevedo, Mariana Magalhães Campos, et al.. (2020). Effect of pelleted vs. ground starter with or without hay on preweaned dairy calves. PLoS ONE. 15(7). e0234610–e0234610. 5 indexed citations
12.
Azevedo, Rafael Alves de, et al.. (2019). Perguntas e Respostas Alta CRIA. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
13.
Azevedo, Rafael Alves de, et al.. (2019). Alta CRIA 2019 - benchmarking for dairy calves and heifers. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
14.
Rodrigues, João Paulo Pacheco, Luiz Gustavo Ribeiro Pereira, S.G. Coelho, et al.. (2018). Technical note: Evaluation of an automatic system for monitoring rumination time in weaning calves. Livestock Science. 219. 86–90. 16 indexed citations
15.
Oliveira, Bruna Silva, et al.. (2018). Short communication: Tick-borne disease is associated with changes in feeding behavior in automatically fed weaned dairy calves. Journal of Dairy Science. 101(12). 11256–11261. 6 indexed citations
16.
Dorneles, Elaine Maria Seles, Fernando N. Souza, Adriana Cortéz, et al.. (2017). Neonatologia em bezerros: a importância do colostro. Revista de Educação Continuada em Medicina Veterinária e Zootecnia do CRMV-SP. 15(3). 32–41. 1 indexed citations
17.
Chizzotti, M. L., Fernanda Samarini Machado, Luiz Gustavo Ribeiro Pereira, et al.. (2015). Validation of a system for monitoring individual feeding behavior and individual feed intake in cattle.. 1 indexed citations
18.
Coelho, S.G., et al.. (2015). Evaluation of the correlation between total plasma protein of serum of F1 crossbred Holstein x Zebu calves evaluated with optical and digital refractometer.. 1 indexed citations
19.
Chizzotti, M. L., Fernanda Samarini Machado, Ériton Egídio Lisboa Valente, et al.. (2015). Technical note: Validation of a system for monitoring individual feeding behavior and individual feed intake in dairy cattle. Journal of Dairy Science. 98(5). 3438–3442. 73 indexed citations
20.
Coelho, S.G.. (2009). DESAFIOS NA CRIAÇÃO E SAÚDE DE BEZERROS. SHILAP Revista de lepidopterología. 1. 1–16.

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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