G. A. Casas

38 total papers · 933 total citations
24 papers, 701 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 701 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 Philippines. 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, Woong Bi Kwon, D. M. D. L. Navarro and Neil W Jaworski 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 689 citations

Hit Papers

Non-antibiotic feed addit... 2018 2026 2020 2023 2018 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. A. Casas 496 143 138 129 112 24 701
L Vanessa Lagos 501 1.0× 144 1.0× 144 1.0× 119 0.9× 106 0.9× 27 670
Vince M. Gabert 558 1.1× 176 1.2× 121 0.9× 122 0.9× 167 1.5× 34 859
J. D. Berrocoso 497 1.0× 147 1.0× 96 0.7× 77 0.6× 100 0.9× 22 628
Charmaine D Espinosa 415 0.8× 116 0.8× 87 0.6× 120 0.9× 109 1.0× 49 622
A. L. Sutton 580 1.2× 133 0.9× 60 0.4× 161 1.2× 94 0.8× 24 846
Jianjun Zang 477 1.0× 145 1.0× 111 0.8× 110 0.9× 169 1.5× 42 768
N. Sauer 465 0.9× 113 0.8× 129 0.9× 131 1.0× 186 1.7× 34 762
Dirk Fremaut 413 0.8× 108 0.8× 149 1.1× 264 2.0× 97 0.9× 25 837
H. H. Stein 543 1.1× 190 1.3× 131 0.9× 67 0.5× 74 0.7× 14 682
Emma Ivarsson 301 0.6× 86 0.6× 132 1.0× 148 1.1× 186 1.7× 43 705

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

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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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