N. Prieto

1.5k citations

14 papers · 1.2k indexed · 2 hit papers · h-index 11

Impact in

Animal Science and Zoology top 0.5%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses

Papers in

Animal Science and Zoology 11
- Meat and Animal Product Quality 11
- Animal Nutrition and Physiology 6
Analytical Chemistry 7
- Spectroscopy and Chemometric Analyses 7

Co-authors: Sonia Andrés Paz Lavín Francisco Javier Giráldez R. Roehe Graeme Batten Raúl Bodas R. García-González Secundino López
Journals: Meat Science (7 papers)Journal of Animal Science (2 papers)Canadian Journal of Animal Science (1 paper)animal (1 paper)Animal Feed Science and Technology (1 paper)
Partner nations: Spain United Kingdom Canada

In The Last Decade

N. Prieto

14 papers receiving 1.2k citations

Hit Papers

align trajectories log scale

Manipulation of rumen fermentation and methane production with plant secondary metabolites 2012 · 334 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2012 Animal Feed Science and Technology
2009 Meat Science

Peers

Countries citing papers authored by N. Prieto

Since Specialization

Citations

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

Fields of papers citing papers by N. Prieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside N. Prieto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with N. Prieto Line = papers co-authored together N. Prieto links everyone, so they are left out of the graph.

All Works

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14 of 14 papers shown

#	Work
1	Effects of linseed and quercetin added to the diet of fattening lambs on the fatty acid profile and lipid antioxidant status of meat samples Meat Science ·Sonia Andrés, Lara Morán, Noelia Aldai, M. L. Tejido, N. Prieto, Raúl Bodas, Francisco Javier Giráldez	2014	50
2	Effects of dietary inclusion of sunflower soap stocks on nutrient digestibility, growth performance, and ruminal and blood metabolites of light fattening lambs1 Journal of Animal Science ·Carolina Blanco, Francisco Javier Giráldez, N. Prieto, Lara Morán, Sonia Andrés, Júlio Benavides, M. L. Tejido, Raúl Bodas	2014	10
3	Discrimination of beef dark cutters using visible and near infrared reflectance spectroscopy Canadian Journal of Animal Science ·N. Prieto, Ó. López-Campos, R. T. Zijlstra, B. Uttaro, Xianyan Kuan	2014	23
4	The effect of quercetin dietary supplementation on meat oxidation processes and texture of fattening lambs Meat Science ·Sonia Andrés, J. Treinen, Javier Mateo, M. L. Tejido, Raúl Bodas, Lara Morán, N. Prieto, L. Rotolo, Francisco Javier Giráldez	2013	24
5	Quercetin dietary supplementation of fattening lambs at 0.2% rate reduces discolouration and microbial growth in meat during refrigerated storage Meat Science ·Sonia Andrés, M. L. Tejido, Raúl Bodas, Lara Morán, N. Prieto, Carolina Blanco, Francisco Javier Giráldez	2012	43
6	Manipulation of rumen fermentation and methane production with plant secondary metabolites Animal Feed Science and Technology ·Raúl Bodas, N. Prieto, R. García-González, Sonia Andrés, Francisco Javier Giráldez, Secundino López Hit paper breakdown →	2012	334
7	Associations between response to handling and growth and meat quality in frequently handled Bos taurus beef cattle1 Journal of Animal Science ·Simon P. Turner, E.A. Navajas, J. J. Hyslop, D.W. Ross, R.I. Richardson, N. Prieto, Matthew Bell, M.C. Jack, R. Roehe	2011	65
8	Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy animal ·N. Prieto, D.W. Ross, E.A. Navajas, R.I. Richardson, J. J. Hyslop, G. Simm, R. Roehe	2010	36
9	Prediction of beef carcass and selected primal subcutaneous fat yields using data from images captured on-line in abattoir Advances in Animal Biosciences ·N. Prieto, D.W. Ross, E.A. Navajas, R.I. Richardson, J. J. Hyslop, C. Craigie, G. Simm, R. Roehe	2010	1
10	Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review Meat Science ·N. Prieto, R. Roehe, Paz Lavín, Graeme Batten, Sonia Andrés Hit paper breakdown →	2009	385
11	On-line application of visible and near infrared reflectance spectroscopy to predict chemical–physical and sensory characteristics of beef quality Meat Science ·N. Prieto, D.W. Ross, E.A. Navajas, G.R. Nute, R.I. Richardson, J. J. Hyslop, G. Simm, R. Roehe	2009	79
12	Prediction of Chemical Composition of Sugar Beet Pulp by near Infrared Reflectance Spectroscopy Journal of Near Infrared Spectroscopy ·Beatriz Fernández, Sonia Andrés, N. Prieto, Ángel R. Mantecón, Francisco Javier Giráldez	2008	2
13	Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples Meat Science ·N. Prieto, Sonia Andrés, Francisco Javier Giráldez, Ángel R. Mantecón, Paz Lavín	2007	98
14	Potential use of near infrared reflectance spectroscopy (NIRS) for the estimation of chemical composition of oxen meat samples Meat Science ·N. Prieto, Sonia Andrés, Francisco Javier Giráldez, Ángel R. Mantecón, Paz Lavín	2006	93

About N. Prieto

N. Prieto is a scholar working on Animal Science and Zoology, Analytical Chemistry, Biochemistry, Agronomy and Crop Science and Nephrology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (11 papers), Spectroscopy and Chemometric Analyses (7 papers), Animal Nutrition and Physiology (6 papers), Advanced Chemical Sensor Technologies (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Genetic and phenotypic traits in livestock (2 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and Protein Hydrolysis and Bioactive Peptides (1 paper). The work is most often cited by research in Animal Science and Zoology (763 citations), Analytical Chemistry (574 citations), Agronomy and Crop Science (307 citations), Biophysics (110 citations) and Forestry (49 citations). N. Prieto has collaborated with scholars based in Spain, United Kingdom and Canada. Frequent co-authors include Sonia Andrés, Paz Lavín, Francisco Javier Giráldez, R. Roehe, Graeme Batten, Raúl Bodas, R. García-González, Secundino López, Ángel R. Mantecón and J. J. Hyslop. Their work appears in journals such as Meat Science, Journal of Animal Science, Canadian Journal of Animal Science, animal and Animal Feed Science and Technology.

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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