J.A. Abecia

4.4k total citations
197 papers, 3.4k citations indexed

About

J.A. Abecia is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J.A. Abecia has authored 197 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Agronomy and Crop Science, 73 papers in Genetics and 62 papers in Animal Science and Zoology. Recurrent topics in J.A. Abecia's work include Reproductive Physiology in Livestock (129 papers), Genetic and phenotypic traits in livestock (63 papers) and Effects of Environmental Stressors on Livestock (56 papers). J.A. Abecia is often cited by papers focused on Reproductive Physiology in Livestock (129 papers), Genetic and phenotypic traits in livestock (63 papers) and Effects of Environmental Stressors on Livestock (56 papers). J.A. Abecia collaborates with scholars based in Spain, Mexico and France. J.A. Abecia's co-authors include F. Forcada, Adriana Casao, J.A. Cebrián-Pérez, T. Muiño‐Blanco, Antonio Gonzalez‐Bulnes, I. Palacín, Carlos Palacios, Rosaura Pérez‐Pé, Cecilia Sosa and J.M. Lozano and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Animal Science.

In The Last Decade

J.A. Abecia

177 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.A. Abecia Spain 31 2.1k 1.1k 984 920 749 197 3.4k
F. Forcada Spain 28 1.7k 0.8× 874 0.8× 858 0.9× 778 0.8× 501 0.7× 97 2.6k
M. Forsberg Sweden 32 2.0k 1.0× 1.3k 1.1× 772 0.8× 494 0.5× 615 0.8× 117 3.1k
G. R. Foxcroft Canada 42 2.1k 1.0× 1.6k 1.4× 1.3k 1.3× 878 1.0× 1.8k 2.4× 154 5.0k
Michael J. D’Occhio Australia 34 2.0k 0.9× 1.4k 1.2× 731 0.7× 626 0.7× 668 0.9× 130 3.1k
R. P. Wettemann United States 43 3.8k 1.8× 2.5k 2.2× 468 0.5× 362 0.4× 1.4k 1.9× 147 4.8k
J. E. Kinder United States 38 3.4k 1.6× 2.7k 2.4× 860 0.9× 623 0.7× 1.2k 1.7× 143 4.3k
G. E. Lamming United Kingdom 36 3.0k 1.5× 1.7k 1.5× 798 0.8× 600 0.7× 669 0.9× 100 4.4k
T. W. Geary United States 35 3.1k 1.5× 2.5k 2.2× 827 0.8× 300 0.3× 801 1.1× 109 3.8k
B. D. Schanbacher United States 32 1.7k 0.8× 1.1k 0.9× 430 0.4× 1.1k 1.2× 1.0k 1.4× 129 3.4k
A. Meikle Uruguay 25 1.8k 0.9× 1.2k 1.1× 433 0.4× 174 0.2× 456 0.6× 144 2.3k

Countries citing papers authored by J.A. Abecia

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Abecia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.A. Abecia

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Abecia. A scholar is included among the top collaborators of J.A. Abecia 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 J.A. Abecia. J.A. Abecia 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.
Leite, Ana, et al.. (2025). Effect of melatonin implants on carcass characteristics and meat quality of slow-growing chickens. Poultry Science. 104(5). 104913–104913. 1 indexed citations
2.
Macías, Ángel Ramos, et al.. (2024). Genotyping of rams based on melatonin receptor 1A gene polymorphisms: a tool in sire selection?. Reproduction Fertility and Development. 36(9). 2 indexed citations
3.
Abecia, J.A., et al.. (2023). Circadian, feeding, and locomotor activities of artificially reared lambs measured by actigraphy. Journal of Applied Animal Research. 51(1). 234–241. 3 indexed citations
4.
Contreras‐Solís, I., Valeria Pasciu, Elena Baralla, et al.. (2023). The Effect of By-Pass Linseed Oil Supplementation on the Maternal Antioxidant System during the Embryo-Maternal Recognition Period in Ewes. Animals. 13(16). 2565–2565.
5.
Contreras‐Solís, I., Valeria Pasciu, Maria Dattena, et al.. (2023). Effect of Strategic Supplementation of Dietary By-Pass Linseed Oil on Fertility and Milk Quality in Sarda Ewes. Animals. 13(2). 280–280. 4 indexed citations
6.
Fondevila, M., María Á. Martín-Cabrejas, Yolanda Aguilera, et al.. (2023). Improvement of the Seminal Characteristics in Rams Using Agri-Food By-Products Rich in Phytomelatonin. Animals. 13(5). 905–905. 7 indexed citations
7.
Porte, C., H. L. Vacher, Pablo Chamero, et al.. (2023). Male‐induced early puberty correlates with the maturation of arcuate nucleus kisspeptin neurons in does. Journal of Neuroendocrinology. 35(5). e13284–e13284. 1 indexed citations
8.
Delgadillo, J.A., et al.. (2022). Sexually active male goats stimulate the endocrine and sexual activities of other males in seasonal sexual rest through the “buck-to-buck effect”. Domestic Animal Endocrinology. 81. 106746–106746. 9 indexed citations
9.
Estévez-Moreno, Laura X., Genaro C. Miranda‐de la Lama, Morris Villarroel, et al.. (2021). Revisiting Cattle Temperament in Beef Cow-Calf Systems: Insights from Farmers’ Perceptions about an Autochthonous Breed. Animals. 11(1). 82–82. 10 indexed citations
10.
Abecia, J.A., et al.. (2019). Effect of three cross crosses in dairy sheep: productive parameters.. 17. 152–154. 1 indexed citations
11.
Abecia, J.A., et al.. (2017). The effects of weather on milk production in dairy sheep vary by month of lambing and lactation phase. Journal of Animal Behaviour and Biometeorology. 5(2). 56–63. 1 indexed citations
12.
13.
Abecia, J.A., et al.. (2015). Effect of melatonin implants and flock mates on mating performance of rams.. 111(1). 50–55. 1 indexed citations
14.
Casao, Adriana, Rosaura Pérez‐Pé, F. Forcada, et al.. (2013). Melatonin secretion in sheep cumulus cells and its possible effect on DNA damage during in vitro maturation.. 368–370. 1 indexed citations
15.
Abecia, J.A., F. Forcada, Iván Contreras, et al.. (2013). Effect of maternal periconceptional undernutrition on reproductive performances of ewes and oocyte quality of their ewe lambs.. 344–346. 1 indexed citations
16.
Casao, Adriana, Rosaura Pérez‐Pé, F. Forcada, et al.. (2011). Immunolocalization of melatonin receptor MT1A in ovine cumulus cells.. 359–361. 1 indexed citations
17.
Abecia, J.A., et al.. (2011). Food restriction in sheep: endocrine-metabolic response according to the level of body reserves.. 107(4). 257–271. 4 indexed citations
18.
Abecia, J.A. & F. Forcada. (2001). Nutrición y reproducción. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 13–24. 1 indexed citations
19.
Abecia, J.A., et al.. (2000). Control de la actividad reproductiva del ovino.. 62–64. 1 indexed citations
20.
Forcada, F., J.A. Abecia, & I. Sierra. (1990). Effect of body condition on reproduction in Aragon ewes. 123–132.

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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