Óscar A. Peralta

931 total citations
45 papers, 673 citations indexed

About

Óscar A. Peralta is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Óscar A. Peralta has authored 45 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Public Health, Environmental and Occupational Health and 11 papers in Genetics. Recurrent topics in Óscar A. Peralta's work include Mesenchymal stem cell research (11 papers), Reproductive Biology and Fertility (11 papers) and Reproductive Physiology in Livestock (10 papers). Óscar A. Peralta is often cited by papers focused on Mesenchymal stem cell research (11 papers), Reproductive Biology and Fertility (11 papers) and Reproductive Physiology in Livestock (10 papers). Óscar A. Peralta collaborates with scholars based in Chile, United States and Spain. Óscar A. Peralta's co-authors include W.H. Eyestone, Vı́ctor H. Parraguez, Mónica De los Reyes, R.E. Pearson, R.L. Nebel, Cristian G. Torres, Jaime Palomino, William R. Huckle, Francisco Sales and Antonio Gonzalez‐Bulnes and has published in prestigious journals such as Scientific Reports, Journal of Animal Science and Theriogenology.

In The Last Decade

Óscar A. Peralta

43 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Óscar A. Peralta Chile 17 244 178 172 141 119 45 673
Maurycy Jankowski Poland 17 361 1.5× 86 0.5× 144 0.8× 78 0.6× 89 0.7× 70 908
G. Taru Sharma India 21 405 1.7× 199 1.1× 178 1.0× 279 2.0× 205 1.7× 101 1.2k
Yinghui Ling China 19 466 1.9× 117 0.7× 267 1.6× 39 0.3× 59 0.5× 64 904
David M. Grieger United States 17 125 0.5× 524 2.9× 455 2.6× 82 0.6× 63 0.5× 49 930
Shingo Hatoya Japan 20 364 1.5× 141 0.8× 176 1.0× 87 0.6× 197 1.7× 80 982
Paulo Fantinato Neto Brazil 12 201 0.8× 133 0.7× 214 1.2× 21 0.1× 54 0.5× 44 524
Vikash Chandra India 14 163 0.7× 76 0.4× 63 0.4× 199 1.4× 128 1.1× 56 612
Maarten Hoogewijs Belgium 21 154 0.6× 255 1.4× 154 0.9× 150 1.1× 170 1.4× 58 1.1k
Sijiu Yu China 17 275 1.1× 136 0.8× 179 1.0× 20 0.1× 49 0.4× 114 827
Abolfazl Shirazi Iran 19 459 1.9× 125 0.7× 273 1.6× 81 0.6× 126 1.1× 85 1.2k

Countries citing papers authored by Óscar A. Peralta

Since Specialization
Citations

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

Fields of papers citing papers by Óscar A. Peralta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Óscar A. Peralta. 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 Óscar A. Peralta. The network helps show where Óscar A. Peralta may publish in the future.

Co-authorship network of co-authors of Óscar A. Peralta

This figure shows the co-authorship network connecting the top 25 collaborators of Óscar A. Peralta. A scholar is included among the top collaborators of Óscar A. Peralta 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 Óscar A. Peralta. Óscar A. Peralta 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
2.
Sales, Francisco, Óscar A. Peralta, Mónica De los Reyes, et al.. (2024). Chronic Undernutrition in Ovine Twin Pregnancies Abolishes Differences in Birth Weight Due to Sex: An Evaluation of the Role of Nutritional and Antioxidant Supplementation. Animals. 14(6). 974–974. 1 indexed citations
3.
Reyes, Mónica De los, Phillip Dettleff, Jaime Palomino, Óscar A. Peralta, & Ana Isabel Vergara Iraeta. (2024). Dynamic Expression of Follicle-Stimulating Hormone and Estrogen mRNA Receptors Associated with microRNAs 34a and -let-7c in Canine Follicles during the Estrous Cycle. Animals. 14(2). 214–214. 2 indexed citations
6.
Reyes, Mónica De los, et al.. (2023). Effect of progesterone on in vitro meiotic maturation of canine oocytes associated with Cx37 and Cx43 gene expression. Theriogenology. 204. 50–57. 2 indexed citations
7.
Palomino, Jaime, et al.. (2023). Meiotic Development of Canine Oocytes from Poly-Ovular and Mono-Ovular Follicles after In Vitro Maturation. Animals. 13(4). 648–648. 1 indexed citations
9.
Torres, Cristian G., et al.. (2022). Generation and Characterization of Bovine Testicular Organoids Derived from Primary Somatic Cell Populations. Animals. 12(17). 2283–2283. 15 indexed citations
10.
Parraguez, Vı́ctor H., Francisco Sales, Óscar A. Peralta, Mónica De los Reyes, & Antonio Gonzalez‐Bulnes. (2022). Oxidative Stress and Fetal Growth Restriction Set Up Earlier in Undernourished Sheep Twin Pregnancies: Prevention with Antioxidant and Nutritional Supplementation. Antioxidants. 11(7). 1287–1287. 7 indexed citations
11.
Parraguez, Vı́ctor H., Francisco Sales, Óscar A. Peralta, et al.. (2021). Maternal Supplementation with Herbal Antioxidants during Pregnancy in Swine. Antioxidants. 10(5). 658–658. 8 indexed citations
12.
Parraguez, Vı́ctor H., Francisco Sales, Óscar A. Peralta, et al.. (2020). Supplementation of Underfed Twin-Bearing Ewes with Herbal Vitamins C and E: Impacts on Birth Weight, Postnatal Growth, and Pre-Weaning Survival of the Lambs. Animals. 10(4). 652–652. 10 indexed citations
13.
Reyes, Mónica De los, et al.. (2020). Gene and protein expression of connexins 37 and 43 in cumulus–oocytes complexes throughout the canine oestrous cycle. Reproduction Fertility and Development. 32(11). 976–987. 8 indexed citations
14.
Sales, Francisco, Óscar A. Peralta, S. A. McCoard, et al.. (2019). Maternal Supplementation with Antioxidant Vitamins in Sheep Results in Increased Transfer to the Fetus and Improvement of Fetal Antioxidant Status and Development. Antioxidants. 8(3). 59–59. 16 indexed citations
15.
García, Pablo, Phillip Dettleff, Jaime Palomino, et al.. (2018). Influence of growth differentiation factor 9 and bone morphogenetic protein 15 on in vitro maturation of canine oocytes. Reproduction in Domestic Animals. 54(2). 373–380. 16 indexed citations
16.
Sales, Francisco, et al.. (2018). PSXV-19 Fetal Blood Oxygenation and Placental Efficiency Is Increased By Melatonin Implants in Sheep.. Journal of Animal Science. 96(suppl_3). 239–240. 1 indexed citations
17.
Palomino, Jaime, et al.. (2016). Differential expression of GDF-9 and BMP- 15 during follicular development in canine ovaries evaluated by flow cytometry. Animal Reproduction Science. 167. 59–67. 17 indexed citations
18.
Peralta, Óscar A., et al.. (2013). Granulocyte-macrophage colony stimulating factor (GM-CSF) enhances cumulus cell expansion in bovine oocytes. Reproductive Biology and Endocrinology. 11(1). 55–55. 13 indexed citations
19.
Peralta, Óscar A., William R. Huckle, & W.H. Eyestone. (2010). Expression and knockdown of cellular prion protein (PrPC) in differentiating mouse embryonic stem cells. Differentiation. 81(1). 68–77. 41 indexed citations
20.
Peralta, Óscar A., R.E. Pearson, & R.L. Nebel. (2004). Comparison of three estrus detection systems during summer in a large commercial dairy herd. Animal Reproduction Science. 87(1-2). 59–72. 83 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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