Daniel Villalba Mata

2.0k total citations
87 papers, 1.6k citations indexed

About

Daniel Villalba Mata is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, Daniel Villalba Mata has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Agronomy and Crop Science, 35 papers in Animal Science and Zoology and 32 papers in Genetics. Recurrent topics in Daniel Villalba Mata's work include Genetic and phenotypic traits in livestock (31 papers), Ruminant Nutrition and Digestive Physiology (31 papers) and Reproductive Physiology in Livestock (21 papers). Daniel Villalba Mata is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Ruminant Nutrition and Digestive Physiology (31 papers) and Reproductive Physiology in Livestock (21 papers). Daniel Villalba Mata collaborates with scholars based in Spain, Italy and France. Daniel Villalba Mata's co-authors include I. Casasús, A. Bernués, R. Ruíz, Ana Olaizola Tolosana, A. Sanz, R. Revilla, J. Estany, E. Molina, M. Tör and M. Blanco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Science Advances.

In The Last Decade

Daniel Villalba Mata

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Villalba Mata Spain 19 495 448 422 377 250 87 1.6k
I. Casasús Spain 21 569 1.1× 623 1.4× 421 1.0× 347 0.9× 223 0.9× 95 1.7k
R. Ruíz Spain 19 371 0.7× 292 0.7× 271 0.6× 317 0.8× 233 0.9× 50 1.3k
S. Bovolenta Italy 25 596 1.2× 612 1.4× 380 0.9× 361 1.0× 91 0.4× 77 1.6k
Jean‐Louis Peyraud France 28 343 0.7× 1.6k 3.5× 658 1.6× 465 1.2× 254 1.0× 73 2.4k
D.A. Clark New Zealand 27 220 0.4× 999 2.2× 395 0.9× 382 1.0× 268 1.1× 82 1.8k
Jacques Agabriel France 21 1.0k 2.1× 821 1.8× 538 1.3× 425 1.1× 115 0.5× 75 1.8k
E. E. Grings United States 25 380 0.8× 1.0k 2.3× 667 1.6× 245 0.6× 87 0.3× 74 1.7k
Lars Olav Eik Norway 21 336 0.7× 542 1.2× 280 0.7× 180 0.5× 53 0.2× 77 1.4k
José Perea Spain 17 309 0.6× 207 0.5× 135 0.3× 210 0.6× 170 0.7× 78 951
Maryline Boval France 17 210 0.4× 556 1.2× 252 0.6× 251 0.7× 58 0.2× 42 992

Countries citing papers authored by Daniel Villalba Mata

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Villalba Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Villalba Mata. 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 Daniel Villalba Mata. The network helps show where Daniel Villalba Mata may publish in the future.

Co-authorship network of co-authors of Daniel Villalba Mata

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Villalba Mata. A scholar is included among the top collaborators of Daniel Villalba Mata 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 Daniel Villalba Mata. Daniel Villalba Mata 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
1.
Rodríguez, Javier Álvarez, Alba Macià, María José Martín Alonso, et al.. (2025). Maternal Hydroxytyrosol Supplementation Enhances Antioxidant Capacity and Immunometabolic Adaptations in Nutrient-Restricted Beef Cows and Their Offspring. Antioxidants. 14(9). 1097–1097.
2.
Casasús, I., et al.. (2024). Metabolic and productive adaptive response of beef cows to successive short-nutritional challenges. Research in Veterinary Science. 180. 105414–105414. 1 indexed citations
3.
Mata, Daniel Villalba, et al.. (2022). First Steps into Ruminal Microbiota Robustness. Animals. 12(18). 2366–2366. 11 indexed citations
4.
Mata, Daniel Villalba, et al.. (2022). Locally Grown Crops and Immunocastration in Fattening Heavy Pigs: Effects on Performance and Welfare. Animals. 12(13). 1629–1629. 4 indexed citations
5.
6.
Serrano, B., et al.. (2021). Minimum Effects of Sampling Time on the Apparent Digestibility of Nutrients and Blood Protein Catabolites in Light Lambs. Animals. 11(8). 2244–2244. 1 indexed citations
7.
Mata, Daniel Villalba, et al.. (2021). Ruminal microbiota is associated with feed-efficiency phenotype of fattening bulls fed high-concentrate diets. Animal Production Science. 62(14). 1344–1352. 2 indexed citations
8.
9.
Mata, Daniel Villalba, M. Tör, C. Pérez-Santaescolástica, et al.. (2019). The extent to which genetics and lean grade affect fatty acid profiles and volatile compounds in organic pork. PeerJ. 7. e7322–e7322. 12 indexed citations
10.
Blasco, Ruth, Jordi Rosell, Maite Arilla, et al.. (2019). Bone marrow storage and delayed consumption at Middle Pleistocene Qesem Cave, Israel (420 to 200 ka). Science Advances. 5(10). eaav9822–eaav9822. 42 indexed citations
11.
Oliva, Paulina, et al.. (2013). Comparison of two beef fattening diets: concentrate and straw vs. Total Mixed Ration.. 61–63. 1 indexed citations
12.
Ripoll‐Bosch, R., et al.. (2012). Caracterización productiva de la raza Ojinegra de Teruel: ¿Es la explotación un factor determinante?. citaREA (Centro de Investigación y Tecnología Agroalimentaria de Aragón). 275–288. 1 indexed citations
13.
Mata, Daniel Villalba, et al.. (2012). Los sistemas unifeed en la alimentación de rumiantes. 56–60. 1 indexed citations
14.
Mata, Daniel Villalba, et al.. (2011). Concentración sérica de macrominerales de terneros en producción ecológica. 94–101. 1 indexed citations
15.
Blanco, M., I. Casasús, & Daniel Villalba Mata. (2009). A spline polynomial model to describe serum IGF-I concentration from birth to slaughter in calves: effects of weaning age, pre-weaning concentrate feeding and breed. Domestic Animal Endocrinology. 38(3). 157–167. 9 indexed citations
16.
Mata, Daniel Villalba, et al.. (2007). Resultados de puesta y crecimiento de una poblaciónde gallinas de raza menorca. Archivos de Zootecnia. 56(1). 545–550. 1 indexed citations
17.
Bernués, A., et al.. (2003). Factores de explotación asociados a la duración del anestro postparto en vacas nodrizas de razas Parda de Montaña y Pirenaica. Spanish Journal of Agricultural Research. 7–22.
18.
Amills, Marcel, N. Jiménez, Daniel Villalba Mata, et al.. (2003). Identification of three single nucleotide polymorphisms in the chicken insulin-like growth factor 1 and 2 genes and their associations with growth and feeding traits. Poultry Science. 82(10). 1485–1493. 118 indexed citations
19.
Mata, Daniel Villalba. (2000). Construcción y utilización de un modelo estocástico para la simulación de estrategias de manejo invernal en rebaños de vacas nodrizas. TDX (Tesis Doctorals en Xarxa). 4 indexed citations
20.
Casasús, I., et al.. (2000). PERFORMANCE AND INGESTIVE ACTIVITY OF BROWN SWISS AND PIRENAICA COWS AND THEIR CALVES DURING THE SPRING ON VALLEY MEADOWS. Archivos de Zootecnia. 49(188). 445–456. 6 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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