M. Juárez

2.9k total citations
138 papers, 2.3k citations indexed

About

M. Juárez is a scholar working on Animal Science and Zoology, Genetics and Analytical Chemistry. According to data from OpenAlex, M. Juárez has authored 138 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Animal Science and Zoology, 31 papers in Genetics and 22 papers in Analytical Chemistry. Recurrent topics in M. Juárez's work include Meat and Animal Product Quality (105 papers), Animal Nutrition and Physiology (50 papers) and Genetic and phenotypic traits in livestock (30 papers). M. Juárez is often cited by papers focused on Meat and Animal Product Quality (105 papers), Animal Nutrition and Physiology (50 papers) and Genetic and phenotypic traits in livestock (30 papers). M. Juárez collaborates with scholars based in Canada, Spain and United States. M. Juárez's co-authors include J.L. Aalhus, O. Polvillo, M.E.R. Dugan, Noelia Aldai, A. Molina, N. Prieto, M. Valera, M. E. R. Dugan, F. Peña and A. Horcada and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

M. Juárez

133 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
M. Juárez 1.7k 362 360 345 341 138 2.3k
M.J. Beriain 2.0k 1.2× 314 0.9× 510 1.4× 784 2.3× 208 0.6× 102 2.6k
N. Prieto 1.0k 0.6× 272 0.8× 302 0.8× 196 0.6× 208 0.6× 117 1.9k
Sonia Andrés 1.4k 0.8× 214 0.6× 369 1.0× 285 0.8× 266 0.8× 116 2.6k
Eleni Kasapidou 1.8k 1.1× 470 1.3× 319 0.9× 391 1.1× 288 0.8× 35 2.4k
S.I. Hughes 2.8k 1.6× 588 1.6× 495 1.4× 537 1.6× 470 1.4× 18 3.4k
S. K. Duckett 2.1k 1.3× 716 2.0× 532 1.5× 238 0.7× 739 2.2× 132 3.5k
F. Cheli 437 0.3× 313 0.9× 508 1.4× 530 1.5× 255 0.7× 98 2.7k
Surendranath P. Suman 3.8k 2.3× 363 1.0× 1.0k 2.9× 876 2.5× 176 0.5× 128 4.4k
K. Insausti 941 0.6× 174 0.5× 218 0.6× 316 0.9× 111 0.3× 56 1.2k
R.A. Mancini 4.3k 2.6× 417 1.2× 813 2.3× 1.1k 3.2× 182 0.5× 76 5.0k

Countries citing papers authored by M. Juárez

Since Specialization
Citations

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

Fields of papers citing papers by M. Juárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Juárez

This figure shows the co-authorship network connecting the top 25 collaborators of M. Juárez. A scholar is included among the top collaborators of M. Juárez 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 M. Juárez. M. Juárez 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
3.
Aalhus, J.L., M. Juárez, Heather L. Bruce, et al.. (2023). Genetic parameter estimates for sensory and meat quality traits measured at 3 and 29 days of aging of beef from Canadian crossbred cattle. Meat Science. 207. 109351–109351. 2 indexed citations
4.
Mandell, I. B., B. M. Bohrer, C. P. Campbell, et al.. (2023). Do carcass traits influence consumer perception of pork eating quality?. Meat Science. 208. 109381–109381. 2 indexed citations
5.
Rodas‐González, Argenis, Changxi Li, Michael Vinsky, et al.. (2023). Estimation of genetic parameters for primal tissue component traits in commercial crossbred beef cattle. Meat Science. 202. 109200–109200. 2 indexed citations
6.
Wei, Xinyi, B. M. Bohrer, B. Uttaro, & M. Juárez. (2023). Evaluating the effect of temperature and multiple bends on an automated pork belly firmness conveyor belt classification system. Meat Science. 203. 109222–109222. 5 indexed citations
7.
Soladoye, Olugbenga P., M. Juárez, Mario Estévez, Yu Fu, & Carlos Álvarez. (2022). Exploring the prospects of the fifth quarter in the 21st century. Comprehensive Reviews in Food Science and Food Safety. 21(2). 1439–1461. 10 indexed citations
8.
Horcada, A., M. Juárez, M. Valera, & Ester Bartolomé. (2019). Short communication: Using infrared ocular thermography as a tool to predict meat quality from lean cattle breeds prior to slaughter: Exploratory trial. Spanish Journal of Agricultural Research. 17(4). e06SC01–e06SC01. 2 indexed citations
9.
Akanno, E. C., Liuhong Chen, Barry Irving, et al.. (2018). Improvement of cow feed efficiency using molecular breeding values for residual feed intake - The “Kinsella Breeding Project”. Proceedings of the World Congress on Genetics Applied to Livestock Production. 809.
10.
López-Campos, Ó., I. L. Larsen, N. Prieto, et al.. (2017). Using Dual Energy X-Ray Absorptiometry (DXA) For A Rapid, Non-Invasive Carcass Fat and Lean Prediction in Beef. Meat and Muscle Biology. 1(2). 96–96. 2 indexed citations
11.
López-Campos, Ó., M. Juárez, I. L. Larsen, et al.. (2017). Dual Energy X-Ray Absorptiometry as a Rapid and Non-Destructive Method for Determination of Lean, Fat and Bone Content in Livestock. Meat and Muscle Biology. 1(3). 107–107. 1 indexed citations
12.
López-Campos, Ó., I. L. Larsen, N. Prieto, et al.. (2017). Evaluation of Total Lean and Saleable Meat Yield Prediction Equations and Dual Energy X-Ray Absorptiometry for a Rapid, Non-Invasive Yield Prediction in Beef. Meat and Muscle Biology. 1(2). 104–104. 3 indexed citations
13.
Vahmani, Payam, D. C. Rolland, Cletos Mapiye, et al.. (2017). Increasing desirable polyunsaturated fatty acid concentrations in fresh beef intramuscular fat.. CABI Reviews. 1–17. 12 indexed citations
14.
Juárez, M.. (2015). Orden Agricultura Alimentación y Medio Ambiente 661-2013 de 18 de Abril por la que se Modifican los Anexos I Ii, Art. Primero: Modificación del Anexo I del Real Decreto 1481/2001, de 27 de Diciembre, por el que se Regula la Eliminación de Residuos Mediante Depósito en Vertedero. 3 indexed citations
15.
Aldea, María Jesús Alcalde, Isabel Moreno‐Indias, A. Horcada, A. Molina, & M. Juárez. (2014). Generalized procrustes analysis (GPA) as a tool to discriminate among sheep breeds. Archives animal breeding/Archiv für Tierzucht. 57(1). 1–10. 2 indexed citations
17.
Toral, Pablo G., Pilar Gómez‐Cortés, Pilar Frutos, et al.. (2009). Effect of diet supplementation with sunflower and fish oils on animal performance and milk fatty acid profile in dairy ewes.. 283–285. 1 indexed citations
18.
Juárez, M., et al.. (2009). "Chivo Lechal Malagueño" meat quality as affected by carcass weight.. 105(1). 28–35. 1 indexed citations
19.
Juárez, M., W. R. Caine, I. L. Larsen, et al.. (2009). Enhancing pork loin quality attributes through genotype, chilling method and ageing time. Meat Science. 83(3). 447–453. 28 indexed citations
20.
Juárez, M., A. Horcada, María Jesús Alcalde Aldea, et al.. (2007). Estimation of factors influencing fatty acid profiles in light lambs. Meat Science. 79(2). 203–210. 49 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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