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, F. Peña, M. E. R. Dugan 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

Peers

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Candidate genes associated with fatty acid compositions in north American Atlantic salmon (Salmo salar) 2024 ·BMC Genomics ·(unknown), M. Juárez, N. Prieto, Solomon Antwi Boison, (unknown), Bruce Swift, Amber F. Garber	0
2	Genetic parameter estimates for sensory and meat quality traits measured at 3 and 29 days of aging of beef from Canadian crossbred cattle 2023 ·Meat Science ·(unknown), (unknown), J.L. Aalhus, M. Juárez, Heather L. Bruce, Changxi Li, J. A. Basarab, (unknown), Graham Plastow	2
3	Do carcass traits influence consumer perception of pork eating quality? 2023 ·Meat Science ·(unknown), I. B. Mandell, B. M. Bohrer, (unknown), C. P. Campbell, (unknown), Edênio Detmann, Alysson Saraiva, M. Juárez, Márcio de Souza Duarte	2
4	Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content 2023 ·Foods ·Stephanie Lam, D. C. Rolland, (unknown), Xinyi Wei, B. Uttaro, M. Juárez	4
5	Estimation of genetic parameters for primal tissue component traits in commercial crossbred beef cattle 2023 ·Meat Science ·(unknown), Argenis Rodas‐González, (unknown), Changxi Li, Michael Vinsky, Stephanie Lam, Ó. López-Campos, José Segura, J. A. Basarab, M. Juárez	2
6	Evaluating the effect of temperature and multiple bends on an automated pork belly firmness conveyor belt classification system 2023 ·Meat Science ·Xinyi Wei, B. M. Bohrer, B. Uttaro, M. Juárez	5
7	Exploring the prospects of the fifth quarter in the 21st century 2022 ·Comprehensive Reviews in Food Science and Food Safety ·Olugbenga P. Soladoye, M. Juárez, Mario Estévez, Yu Fu, Carlos Álvarez	10
8	Impact of genetic potential for residual feed intake and diet fed during early- to mid-gestation in beef heifers on carcass characteristics and meat quality attributes of their castrated male offspring 2021 ·Meat Science ·Sarah J. Meale, A. Ruiz-Sanchez, Elda Dervishi, Bimol C. Roy, Francois Paradis, M. Juárez, J.L. Aalhus, Ó. López-Campos, (unknown), Chengdao Li, H. C. Block, M.G. Colazo, (unknown), Heather L. Bruce, Carolyn Fitzsimmons	4
9	Radiated temperature from thermal imaging is related to feed consumption, growth rate and feed efficiency in grower pigs 2020 ·Journal of Thermal Biology ·N.J. Cook, (unknown), Tong Liu, (unknown), J. A. Basarab, M. Juárez	11
10	Short communication: Using infrared ocular thermography as a tool to predict meat quality from lean cattle breeds prior to slaughter: Exploratory trial 2019 ·Spanish Journal of Agricultural Research ·A. Horcada, M. Juárez, M. Valera, Ester Bartolomé	2
11	Improvement of cow feed efficiency using molecular breeding values for residual feed intake - The “Kinsella Breeding Project” 2018 ·Proceedings of the World Congress on Genetics Applied to Livestock Production ·(unknown), E. C. Akanno, Liuhong Chen, (unknown), Barry Irving, Lynda Baker, Michael Vinsky, Stephen P. Miller, Zhiquan Wang, John Crowley, M.G. Colazo, D.J. Ambrose, M. Juárez, Heather L. Bruce, M. D. MacNeil, Graham Plastow, J. A. Basarab, Changxi Li, Carolyn Fitzsimmons	0
12	Using Dual Energy X-Ray Absorptiometry (DXA) For A Rapid, Non-Invasive Carcass Fat and Lean Prediction in Beef 2017 ·Meat and Muscle Biology ·Ó. López-Campos, I. L. Larsen, N. Prieto, M. Juárez, M. E. R. Dugan, J.L. Aalhus	2
13	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 2017 ·Meat and Muscle Biology ·Ó. López-Campos, I. L. Larsen, N. Prieto, M. Juárez, M. E. R. Dugan, J.L. Aalhus	3
14	Dual Energy X-Ray Absorptiometry as a Rapid and Non-Destructive Method for Determination of Lean, Fat and Bone Content in Livestock 2017 ·Meat and Muscle Biology ·Ó. López-Campos, M. Juárez, I. L. Larsen, N. Prieto, Jordan C. Roberts, (unknown), J.L. Aalhus	1
15	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 2015 ·M. Juárez	3
16	Type of packaging affects the colour stability of vitamin E enriched beef 2012 ·Food Chemistry ·R. T. Nassu, B. Uttaro, J.L. Aalhus, (unknown), M. Juárez, M. E. R. Dugan	24
17	Effect of diet supplementation with sunflower and fish oils on animal performance and milk fatty acid profile in dairy ewes. 2009 ·Pablo G. Toral, Pilar Gómez‐Cortés, Pilar Frutos, Miguel Ángel de la Fuente, M. Juárez, Gonzalo Hervás	1
18	Southern Spain lamb types discrimination by using visible spectroscopy and basic physicochemical traits 2008 ·Meat Science ·M. Juárez, María Jesús Alcalde Aldea, A. Horcada, A. Molina	10
19	Comparison of four extraction/methylation analytical methods to measure fatty acid composition by gas chromatography in meat 2008 ·Journal of Chromatography A ·M. Juárez, O. Polvillo, Michela Contò, (unknown), (unknown), S. Failla	74
20	Merino sheep breed's genetic resistance to Scrapie: Genetic structure and comparison of five eradication strategies 2006 ·Preventive Veterinary Medicine ·Antonio J. Molina, M. Juárez, A. Rodero	16

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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