O.G. Sá Filho

1.2k total citations
24 papers, 855 citations indexed

About

O.G. Sá Filho is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, O.G. Sá Filho has authored 24 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Agronomy and Crop Science, 21 papers in Genetics and 8 papers in Animal Science and Zoology. Recurrent topics in O.G. Sá Filho's work include Reproductive Physiology in Livestock (23 papers), Genetic and phenotypic traits in livestock (21 papers) and Effects of Environmental Stressors on Livestock (8 papers). O.G. Sá Filho is often cited by papers focused on Reproductive Physiology in Livestock (23 papers), Genetic and phenotypic traits in livestock (21 papers) and Effects of Environmental Stressors on Livestock (8 papers). O.G. Sá Filho collaborates with scholars based in Brazil, United States and Denmark. O.G. Sá Filho's co-authors include J.L.M. Vasconcelos, R. F. G. Peres, G. C. Lamb, M. Meneghetti, Guilherme de Paula Nogueira, Soon Hon Cheong, R.O. Gilbert, W.R. Butler, D. Demetrio and W.W. Thatcher and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Biology of Reproduction.

In The Last Decade

O.G. Sá Filho

21 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O.G. Sá Filho Brazil 14 802 654 260 249 76 24 855
Siwat Sangsritavong United States 10 1.1k 1.3× 906 1.4× 266 1.0× 261 1.0× 78 1.0× 12 1.1k
F.M. Rhodes Australia 15 991 1.2× 824 1.3× 234 0.9× 231 0.9× 70 0.9× 26 1.1k
R. F. G. Peres Brazil 18 851 1.1× 745 1.1× 294 1.1× 302 1.2× 138 1.8× 35 1.0k
A.O. Darwash United Kingdom 10 1.1k 1.4× 970 1.5× 149 0.6× 213 0.9× 106 1.4× 15 1.2k
G.C. Lamb United States 19 1.3k 1.6× 1.1k 1.7× 269 1.0× 278 1.1× 113 1.5× 41 1.4k
T Díaz United States 13 791 1.0× 559 0.9× 283 1.1× 214 0.9× 33 0.4× 16 913
Karol E Fike United States 14 547 0.7× 446 0.7× 157 0.6× 181 0.7× 102 1.3× 35 671
L.F. Nasser Canada 13 1.0k 1.3× 766 1.2× 536 2.1× 218 0.9× 48 0.6× 23 1.1k
L.G.D. Mendonça United States 14 559 0.7× 418 0.6× 151 0.6× 184 0.7× 87 1.1× 19 620
R.W. Bender United States 10 516 0.6× 289 0.4× 242 0.9× 87 0.3× 35 0.5× 13 575

Countries citing papers authored by O.G. Sá Filho

Since Specialization
Citations

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

Fields of papers citing papers by O.G. Sá Filho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O.G. Sá Filho. 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 O.G. Sá Filho. The network helps show where O.G. Sá Filho may publish in the future.

Co-authorship network of co-authors of O.G. Sá Filho

This figure shows the co-authorship network connecting the top 25 collaborators of O.G. Sá Filho. A scholar is included among the top collaborators of O.G. Sá Filho 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 O.G. Sá Filho. O.G. Sá Filho 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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Capper, Judith L., et al.. (2021). Modeling the effects of steroid implant use on the environmental and economic sustainability of Brazilian beef production. Translational Animal Science. 5(4). txab144–txab144. 7 indexed citations
4.
Cheong, Soon Hon, et al.. (2017). Uterine and systemic inflammation influences ovarian follicular function in postpartum dairy cows. PLoS ONE. 12(5). e0177356–e0177356. 42 indexed citations
5.
Cheong, Soon Hon, et al.. (2015). Metabolic and Endocrine Differences Between Dairy Cows That Do or Do Not Ovulate First Postpartum Dominant Follicles1. Biology of Reproduction. 94(1). 18–18. 37 indexed citations
6.
Souza, Albert Schiaveto de, et al.. (2015). Utilização do dispositivo intravaginal de progesterona, em até três usos, para inseminação artificial em tempo fixo de fêmeas Bos indicus. Revista Brasileira de Saúde e Produção Animal. 16(2). 458–469. 3 indexed citations
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McArt, J.A.A., L.S. Caixeta, V.S. Machado, et al.. (2010). Ovsynch versus Ultrasynch: Reproductive efficacy of a dairy cattle synchronization protocol incorporating corpus luteum function. Journal of Dairy Science. 93(6). 2525–2532. 19 indexed citations
9.
Filho, O.G. Sá, et al.. (2010). Serum progesterone concentration and conception rate of beef cows supplemented with ground corn after a fixed-time artificial insemination protocol. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 62(1). 130–135. 2 indexed citations
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Vasconcelos, J.L.M., et al.. (2009). Remoção temporária de bezerros em dois momentos do protocolo de sincronização da ovulação GnRH-PGF2α-BE em vacas Nelore pós-parto. Arquivo Brasileiro de Medicina Veterinária e Zootecnia. 61(1). 95–103. 7 indexed citations
12.
Meneghetti, M., O.G. Sá Filho, R. F. G. Peres, G. C. Lamb, & J.L.M. Vasconcelos. (2009). Fixed-time artificial insemination with estradiol and progesterone for Bos indicus cows I: Basis for development of protocols. Theriogenology. 72(2). 179–189. 202 indexed citations
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Filho, O.G. Sá, et al.. (2009). Progesterone-based estrous synchronization protocols in non-suckled and suckled primiparous Bos indicus beef cows. Animal Reproduction Science. 119(1-2). 9–16. 18 indexed citations
14.
Filho, O.G. Sá, D. J. Patterson, & J.L.M. Vasconcelos. (2009). Development of estrous synchronization protocols using melengestrol acetate in Bos indicus cattle. Journal of Animal Science. 87(6). 1981–1990. 10 indexed citations
15.
Filho, O.G. Sá, M. Meneghetti, R. F. G. Peres, G. C. Lamb, & J.L.M. Vasconcelos. (2009). Fixed-time artificial insemination with estradiol and progesterone for Bos indicus cows II: Strategies and factors affecting fertility. Theriogenology. 72(2). 210–218. 157 indexed citations
16.
Moriel, Philipe, et al.. (2008). Concentrations of Progesterone and Insulin in Serum of Nonlactating Dairy Cows in Response to Carbohydrate Source and Processing. Journal of Dairy Science. 91(12). 4616–4621. 23 indexed citations
17.
Filho, O.G. Sá, W.W. Thatcher, & J.L.M. Vasconcelos. (2008). Effect of progesterone and/or estradiol treatments prior to induction of ovulation on subsequent luteal lifespan in anestrous Nelore cows. Animal Reproduction Science. 112(1-2). 95–106. 29 indexed citations
18.
Vasconcelos, J.L.M., et al.. (2008). Intravaginal progesterone device and/or temporary weaning on reproductive performance of anestrous crossbred Angus × Nelore cows. Animal Reproduction Science. 111(2-4). 302–311. 28 indexed citations
19.
Vasconcelos, J.L.M., et al.. (2005). Factors potentially affecting fertility of lactating dairy cow recipients. Theriogenology. 65(1). 192–200. 60 indexed citations
20.
Santos, Ricarda Maria dos, et al.. (2004). Serum progesterone concentrations in Nellore x Angus heifers treated with 1.38-g or 1.9-g CIDR devices. Journal of Animal Science. 370–370.

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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