G.G. Mateos

4.4k total citations
78 papers, 3.3k citations indexed

About

G.G. Mateos is a scholar working on Animal Science and Zoology, Plant Science and Aquatic Science. According to data from OpenAlex, G.G. Mateos has authored 78 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Animal Science and Zoology, 24 papers in Plant Science and 12 papers in Aquatic Science. Recurrent topics in G.G. Mateos's work include Animal Nutrition and Physiology (75 papers), Rabbits: Nutrition, Reproduction, Health (36 papers) and Livestock and Poultry Management (31 papers). G.G. Mateos is often cited by papers focused on Animal Nutrition and Physiology (75 papers), Rabbits: Nutrition, Reproduction, Health (36 papers) and Livestock and Poultry Management (31 papers). G.G. Mateos collaborates with scholars based in Spain, Iran and Puerto Rico. G.G. Mateos's co-authors include R. Lázaro, E. Jiménez-Moreno, J.M. González-Alvarado, Mohamed Frikha, D. G. Valencia, A. de Coca-Sinova, P. Medel, L. Cámara, M. P. Serrano and M. I. Gracia and has published in prestigious journals such as Journal of Animal Science, Meat Science and Poultry Science.

In The Last Decade

G.G. Mateos

77 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G.G. Mateos Spain 35 3.0k 890 490 284 275 78 3.3k
Gonzalo González Mateos Spain 34 3.0k 1.0× 701 0.8× 402 0.8× 249 0.9× 314 1.1× 100 3.4k
A. Corzo United States 36 2.8k 0.9× 492 0.6× 1.0k 2.0× 222 0.8× 180 0.7× 103 3.1k
Josefa Madrid Spain 22 1.9k 0.6× 888 1.0× 237 0.5× 214 0.8× 531 1.9× 89 3.4k
C.M. Parsons United States 28 1.9k 0.6× 742 0.8× 608 1.2× 202 0.7× 326 1.2× 84 2.5k
R.P. Kwakkel Netherlands 31 2.1k 0.7× 572 0.6× 292 0.6× 139 0.5× 289 1.1× 119 2.7k
E. Jiménez-Moreno Spain 25 2.3k 0.7× 668 0.8× 369 0.8× 153 0.5× 197 0.7× 33 2.4k
F.G. Silversides Canada 27 2.0k 0.7× 673 0.8× 290 0.6× 204 0.7× 385 1.4× 71 2.8k
P.W. Waldroup United States 32 3.3k 1.1× 908 1.0× 751 1.5× 317 1.1× 501 1.8× 193 3.8k
E. Esteve‐García Spain 30 2.2k 0.7× 483 0.5× 441 0.9× 461 1.6× 321 1.2× 77 2.7k
S.E. Scheideler United States 27 2.2k 0.7× 741 0.8× 339 0.7× 401 1.4× 333 1.2× 52 2.7k

Countries citing papers authored by G.G. Mateos

Since Specialization
Citations

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

Fields of papers citing papers by G.G. Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.G. Mateos

This figure shows the co-authorship network connecting the top 25 collaborators of G.G. Mateos. A scholar is included among the top collaborators of G.G. Mateos 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.G. Mateos. G.G. Mateos 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.
Cámara, L., et al.. (2024). Apparent metabolizable energy and ileal amino acid digestibility of commercial soybean meals of different origins in broilers. Poultry Science. 103(7). 103786–103786. 1 indexed citations
9.
Jiménez-Moreno, E., et al.. (2014). PLASMA LIPID METABOLITES AND LIVER LIPID COMPONENTS IN BROILERS AT 21 DAYS OF AGE IN RESPONSE TO DIETARY DIFFERENT FIBER SOURCES. Egyptian Journal of Animal Production. 51(2). 115–127. 13 indexed citations
12.
Jiménez-Moreno, E., et al.. (2010). Effects of type and particle size of dietary fiber on growth performance and digestive traits of broilers from 1 to 21 days of age. Poultry Science. 89(10). 2197–2212. 123 indexed citations
13.
Coca-Sinova, A. de, E. Jiménez-Moreno, J.M. González-Alvarado, et al.. (2010). Influence of source of soybean meal and lysine content of the diet on performance and total tract apparent retention of nutrients in broilers from 1 to 36 days of age. Poultry Science. 89(7). 1440–1450. 17 indexed citations
14.
Frikha, Mohamed, et al.. (2009). Influence of the main cereal and feed form of the diet on performance and digestive tract traits of brown-egg laying pullets. Poultry Science. 88(5). 994–1002. 52 indexed citations
16.
González-Alvarado, J.M., E. Jiménez-Moreno, D. G. Valencia, R. Lázaro, & G.G. Mateos. (2008). Effects of Fiber Source and Heat Processing of the Cereal on the Development and pH of the Gastrointestinal Tract of Broilers Fed Diets Based on Corn or Rice. Poultry Science. 87(9). 1779–1795. 163 indexed citations
18.
Gracia, M. I., et al.. (2003). Alpha-amylase supplementation of broiler diets based on corn. Poultry Science. 82(3). 436–442. 189 indexed citations
19.
Méndez, J., et al.. (2002). Effect of Vitamin E and A Supplementation on Egg Yolk α-tocopherol concentration. Poultry Science. 81(3). 376–381. 57 indexed citations
20.
Mateos, G.G., et al.. (1980). Faba beans as a protein source for growing-finishing pigs.. Journal of Animal Science. 51. 1 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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