Javier Mateo

2.5k citations
109 papers · 1.9k · h-index 22

Impact in

    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Probiotics and Fermented Foods
    • Essential Oils and Antimicrobial Activity

Papers in

Javier Mateo

99 papers receiving 1.9k citations

Peers

Javier Mateo
Comparison fields: 5 of 109
  • Animal Science and Zoology 1.1k
  • Food Science 815
  • Biochemistry 177
  • Nutrition and Dietetics 299
  • Agronomy and Crop Science 169
Replace M.R. Rosmini with:
M.R. Rosmini Argentina
Inmaculada Franco Spain
A.S.R. Anjaneyulu India
Eva Skřivanová Czechia
Milan Ž. Baltić Serbia
K. Fegeros Greece
Mohammad Amir Karimi Torshizi Iran
B. Baurhoo Canada
J. Brufau Spain
Pramod Kumar Nanda India
Javier Mateo relative to M.R. Rosmini Argentina M.R. Rosmini's profile →
Citations per field
00.5×2.5×
M.R. Rosmini · 1×
Citations per year

Countries citing papers authored by Javier Mateo

Since Specialization
Citations

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

Fields of papers citing papers by Javier Mateo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Mateo, 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 Javier Mateo Line = papers co-authored together Javier Mateo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 2000171
3 2014142
4 1996137
5 199684
6 199756
7 200753
8 200851
9 200950
10 201941
11 201437
12 201837
13 200537
14 201532
15 201131
16 200830
17 201628
18 201228
19 201527
20 201325

About Javier Mateo

Javier Mateo is a scholar working on Animal Science and Zoology, Food Science, Nutrition and Dietetics, Molecular Biology and Agronomy and Crop Science, having authored 109 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (67 papers), Animal Nutrition and Physiology (29 papers), Ruminant Nutrition and Digestive Physiology (11 papers), Genetic and phenotypic traits in livestock (11 papers), Probiotics and Fermented Foods (9 papers), Sensory Analysis and Statistical Methods (8 papers), Agriculture Sustainability and Environmental Impact (6 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Food Science (815 citations), Biochemistry (177 citations), Nutrition and Dietetics (299 citations) and Agronomy and Crop Science (169 citations). Javier Mateo has collaborated with scholars based in Spain, Mexico and Portugal. Frequent co-authors include Irma Caro, José Marı́a Zumalacárregui, Emiliano J. Quinto, Maria Teresa Moreira Osório, Luz H. Villalobos‐Delgado, Francisco Javier Giráldez, Ana Cristina Figueira, Martha C. Domínguez, Sonia Andrés and Beatriz de Mateo Silleras. Their work appears in journals such as Meat Science, Small Ruminant Research, Foods, Animals and Food Research International.

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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