N. Prieto

2.6k citations
118 papers · 2.0k · h-index 27

Impact in

Papers in

N. Prieto

111 papers receiving 1.9k citations

Peers

N. Prieto
Comparison fields: 5 of 118
  • Animal Science and Zoology 1.1k
  • Analytical Chemistry 526
  • Agronomy and Crop Science 301
  • Biophysics 113
  • Nutrition and Dietetics 262
Replace M. Juárez with:
M. Juárez Canada
Sonia Andrés Spain
C. Gariépy Canada
N. Prieto Spain
Ó. López-Campos Canada
R.A. Mancini United States
Glen Fox Australia
E. R. Deaville United Kingdom
Ranjith Ramanathan United States
Helmut K. Mayer Austria
N. Prieto relative to M. Juárez Canada M. Juárez's profile →
Citations per field
00.5×1.5×2.2×
M. Juárez · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 200998
3 201595
4 201587
5 201059
6 201258
7 201457
8 200752
9 201752
10 200851
11 200343
12 201041
13 201339
14 202138
15 201437
16 200036
17 201135
18 201135
19 201133
20 201433

About N. Prieto

N. Prieto is a scholar working on Animal Science and Zoology, Analytical Chemistry, Agronomy and Crop Science, Biomedical Engineering and Genetics, having authored 118 papers that have together received 2.0k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (74 papers), Animal Nutrition and Physiology (30 papers), Spectroscopy and Chemometric Analyses (28 papers), Ruminant Nutrition and Digestive Physiology (21 papers), Advanced Chemical Sensor Technologies (21 papers), Genetic and phenotypic traits in livestock (18 papers), Fatty Acid Research and Health (12 papers) and Helicobacter pylori-related gastroenterology studies (7 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Analytical Chemistry (526 citations), Agronomy and Crop Science (301 citations), Biophysics (113 citations) and Nutrition and Dietetics (262 citations). N. Prieto has collaborated with scholars based in Canada, Spain and United States. Frequent co-authors include J.L. Aalhus, Francisco Javier Giráldez, M. E. R. Dugan, Ó. López-Campos, Raúl Bodas, Sonia Andrés, M. Juárez, Olga Pawluczyk, Payam Vahmani and Lara Morán. Their work appears in journals such as Meat Science, Canadian Journal of Animal Science, Journal of Animal Science, animal and Foods.

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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