G. A. Casas

942 total citations · 1 hit paper
24 papers, 711 citations indexed

About

G. A. Casas is a scholar working on Animal Science and Zoology, Small Animals and Ecology. According to data from OpenAlex, G. A. Casas has authored 24 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Animal Science and Zoology, 13 papers in Small Animals and 4 papers in Ecology. Recurrent topics in G. A. Casas's work include Animal Nutrition and Physiology (18 papers), Animal Behavior and Welfare Studies (12 papers) and Agriculture Sustainability and Environmental Impact (4 papers). G. A. Casas is often cited by papers focused on Animal Nutrition and Physiology (18 papers), Animal Behavior and Welfare Studies (12 papers) and Agriculture Sustainability and Environmental Impact (4 papers). G. A. Casas collaborates with scholars based in Colombia, United States and Netherlands. G. A. Casas's co-authors include Hans H Stein, L Vanessa Lagos, H. H. Stein, Yanhong Liu, Jerubella J. Abelilla, Su A Lee, Charmaine D Espinosa, John Mathai, D. M. D. L. Navarro and Woong Bi Kwon and has published in prestigious journals such as Journal of Animal Science, Animal Feed Science and Technology and Neuroendocrinology.

In The Last Decade

G. A. Casas

24 papers receiving 699 citations

Hit Papers

Non-antibiotic feed additives in diets for pigs: A review 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. A. Casas Colombia 13 502 144 139 131 112 24 711
L Vanessa Lagos United States 12 507 1.0× 145 1.0× 146 1.1× 120 0.9× 106 0.9× 27 677
Charmaine D Espinosa United States 12 424 0.8× 119 0.8× 91 0.7× 122 0.9× 110 1.0× 49 639
Jianjun Zang China 17 480 1.0× 145 1.0× 113 0.8× 112 0.9× 172 1.5× 42 774
Neil W Jaworski United States 9 426 0.8× 151 1.0× 71 0.5× 112 0.9× 118 1.1× 17 585
H. H. Stein United States 13 548 1.1× 190 1.3× 132 0.9× 68 0.5× 75 0.7× 14 688
Vince M. Gabert United States 16 557 1.1× 175 1.2× 121 0.9× 122 0.9× 168 1.5× 34 860
Marcos Kipper Brazil 15 608 1.2× 200 1.4× 237 1.7× 127 1.0× 64 0.6× 43 904
L. Wang China 11 407 0.8× 80 0.6× 203 1.5× 113 0.9× 274 2.4× 15 828
D. M. D. L. Navarro United States 9 285 0.6× 89 0.6× 75 0.5× 109 0.8× 102 0.9× 14 482
Jerubella J. Abelilla United States 7 280 0.6× 79 0.5× 90 0.6× 130 1.0× 107 1.0× 12 511

Countries citing papers authored by G. A. Casas

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Casas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. A. Casas

This figure shows the co-authorship network connecting the top 25 collaborators of G. A. Casas. A scholar is included among the top collaborators of G. A. Casas 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 G. A. Casas. G. A. Casas 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.
Muñoz‐Rodríguez, José Ramón, Teresa Rodríguez‐Cano, G. A. Casas, et al.. (2019). The Neuroendocrine and Metabolic Outcomes of Bariatric Surgery Depend on Presurgical Control over Eating. Neuroendocrinology. 110(1-2). 63–69. 1 indexed citations
2.
Casas, G. A., et al.. (2019). Increasing levels of microbial phytase increases the digestibility of energy and minerals in diets fed to pigs. Animal Feed Science and Technology. 248. 27–36. 34 indexed citations
5.
Liu, Yanhong, Charmaine D Espinosa, Jerubella J. Abelilla, et al.. (2018). Non-antibiotic feed additives in diets for pigs: A review. Animal nutrition. 4(2). 113–125. 238 indexed citations breakdown →
6.
Casas, G. A., et al.. (2018). Ileal digestibility of amino acids in selected feed ingredients fed to young growing pigs1. Journal of Animal Science. 96(6). 2361–2370. 19 indexed citations
7.
Casas, G. A., et al.. (2018). Effects of full fat rice bran and defatted rice bran on growth performance and carcass characteristics of growing-finishing pigs1. Journal of Animal Science. 96(6). 2293–2309. 19 indexed citations
8.
Casas, G. A. & Hans H Stein. (2017). The ileal digestibility of most amino acids is greater in red dog than in wheat middlings when fed to growing pigs. Journal of Animal Science. 95(6). 2718–2718. 10 indexed citations
9.
Casas, G. A., Chengfei Huang, & H. H. Stein. (2017). Nutritional value of soy protein concentrate ground to different particle sizes and fed to pigs1. Journal of Animal Science. 95(2). 827–836. 5 indexed citations
10.
Casas, G. A. & Hans H Stein. (2016). Effects of full fat or defatted rice bran on growth performance and blood characteristics of weanling pigs1. Journal of Animal Science. 94(10). 4179–4187. 16 indexed citations
11.
Stein, H. H., L Vanessa Lagos, & G. A. Casas. (2016). Nutritional value of feed ingredients of plant origin fed to pigs. Animal Feed Science and Technology. 218. 33–69. 126 indexed citations
13.
Stein, Hans H, G. A. Casas, Jerubella J. Abelilla, Yanhong Liu, & R. C. Sulabo. (2015). Nutritional value of high fiber co-products from the copra, palm kernel, and rice industries in diets fed to pigs. Journal of Animal Science and Biotechnology. 6(1). 56–56. 64 indexed citations
14.
Casas, G. A., et al.. (2015). Amino acid digestibility in rice co-products fed to growing pigs. Animal Feed Science and Technology. 207. 150–158. 25 indexed citations
15.
Casas, G. A. & Hans H Stein. (2015). Effects of microbial phytase on the apparent and standardized total tract digestibility of phosphorus in rice coproducts fed to growing pigs. Journal of Animal Science. 93(7). 3441–3448. 23 indexed citations
16.
Ramírez, Gloria, et al.. (2011). Characterization of pig farms in the main swine producing regions of Colombia. Revista Colombiana de Ciencias Pecuarias. 24(2). 131–144. 4 indexed citations
17.
Casas, G. A., et al.. (2011). Caracterización de los sistemas de producción porcina en las principales regiones porcicolas colombianas. Revista Colombiana de Ciencias Pecuarias. 24(2). 131–144. 4 indexed citations
18.
Casas, G. A., et al.. (2010). Propiedades matemáticas del modelo de Gompertz y su aplicación al crecimiento de los cerdos. Revista Colombiana de Ciencias Pecuarias. 23(3). 349–358. 12 indexed citations
19.
Casas, G. A., et al.. (2010). Mathematical properties of the Gompertz model and its application to the growing pig.. Revista Colombiana de Ciencias Pecuarias. 23(3). 349–358. 1 indexed citations
20.
Casas, G. A., et al.. (2009). Componentes anatómicos y coeficientes alométricos en cerdos machos castrados desde el nacimiento. Revista Colombiana de Ciencias Pecuarias. 22(2). 12–12. 2 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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