Llibertat Tusell

563 total citations
36 papers, 380 citations indexed

About

Llibertat Tusell is a scholar working on Animal Science and Zoology, Genetics and Small Animals. According to data from OpenAlex, Llibertat Tusell has authored 36 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Animal Science and Zoology, 18 papers in Genetics and 12 papers in Small Animals. Recurrent topics in Llibertat Tusell's work include Genetic and phenotypic traits in livestock (18 papers), Animal Nutrition and Physiology (14 papers) and Rabbits: Nutrition, Reproduction, Health (12 papers). Llibertat Tusell is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Animal Nutrition and Physiology (14 papers) and Rabbits: Nutrition, Reproduction, Health (12 papers). Llibertat Tusell collaborates with scholars based in Spain, France and United States. Llibertat Tusell's co-authors include Miriam Piles, Daniel Gianola, Hélène Gilbert, O. Rafel, Andrés Legarra, Josep Ramón, Selma Forni, Manel López‐Béjar, Paulino Pérez‐Rodríguez and Rob Bergsma and has published in prestigious journals such as Scientific Reports, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

Llibertat Tusell

33 papers receiving 377 citations

Peers

Llibertat Tusell

GENET

ASZ

ACS

Daniele Botelho Diniz Marques Brazil

Hossein Mehrban Iran

Christel Marie‐Etancelin France

A. Vincent United States

Maren van Son Norway

Adriana García-Ruíz Mexico

Henrique Torres Ventura Brazil

Claudia A. Sevillano Netherlands

José Carlos Ferrugem Moraes Brazil

Grum Gebreyesus Denmark

Daniele Botelho Diniz Marques Brazil

Llibertat Tusell

197 ×1.0

GENET

84 ×0.5

ASZ

23 ×0.2

51 ×0.7

ACS

36 ×0.6

Citations per year, relative to Llibertat Tusell Llibertat Tusell (= 1×) peers Daniele Botelho Diniz Marques

Countries citing papers authored by Llibertat Tusell

Since Specialization

Citations

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

Fields of papers citing papers by Llibertat Tusell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Llibertat Tusell

This figure shows the co-authorship network connecting the top 25 collaborators of Llibertat Tusell. A scholar is included among the top collaborators of Llibertat Tusell 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 Llibertat Tusell. Llibertat Tusell 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

Piles, Miriam, et al.. (2025). Feeding Behaviour in Group-Housed Growing-Finishing Pigs and Its Relationship with Growth and Feed Efficiency. Veterinary Sciences. 12(2). 168–168.

Díaz-Gaona, Cipriano, et al.. (2025). Temporal evolution of Sow herd age structure and its impact on the performance of Spanish commercial farms. Porcine Health Management. 11(1). 35–35.

Piles, Miriam, et al.. (2024). Unravelling the mechanisms underlying the social interaction effects on the feed efficiency of rabbits. animal. 18(11). 101272–101272. 1 indexed citations

Díaz-Gaona, Cipriano, et al.. (2024). Evolution of Sow Productivity and Evaluation Parameters: Spanish Farms as a Benchmark. Veterinary Sciences. 11(12). 626–626. 4 indexed citations

Díaz-Gaona, Cipriano, et al.. (2024). The impact of herd age structure on the performance of commercial sow-breeding farms. Porcine Health Management. 10(1). 56–56. 3 indexed citations

González, Pablo, José Ramón Quevedo, Elena Montañés, et al.. (2023). Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms. Journal of Animal Breeding and Genetics. 140(6). 638–652. 1 indexed citations

Mehrgardi, Ahmad Ayatollahi, Hélène Gilbert, Catherine Larzul, et al.. (2022). Genic and non-genic SNP contributions to additive and dominance genetic effects in purebred and crossbred pig traits. Scientific Reports. 12(1). 3795–3795. 2 indexed citations

Piles, Miriam, Rob Bergsma, Daniel Gianola, Hélène Gilbert, & Llibertat Tusell. (2021). Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning. Frontiers in Genetics. 12. 611506–611506. 37 indexed citations

Mehrgardi, Ahmad Ayatollahi, et al.. (2020). Performance of pedigree and various forms of marker‐derived relationship coefficients in genomic prediction and their correlations. Journal of Animal Breeding and Genetics. 137(5). 423–437.

10.

Tusell, Llibertat, et al.. (2019). SNP-based mate allocation strategies to maximize total genetic value in pigs. Genetics Selection Evolution. 51(1). 55–55. 11 indexed citations

11.

Tusell, Llibertat, et al.. (2016). Pedigree and genomic evaluation of pigs using a terminal-cross model. Genetics Selection Evolution. 48(1). 32–32. 24 indexed citations

12.

Sabés‐Alsina, Maria, Núria Planell, E. Taberner, et al.. (2014). Daily exposure to summer circadian cycles affects spermatogenesis, but not fertility in an in vivo rabbit model. Theriogenology. 83(2). 246–252. 11 indexed citations

13.

Tusell, Llibertat, et al.. (2013). Prediction of clinical mastitis outcomes within and between environments using whole-genome markers. Journal of Dairy Science. 96(6). 3986–3993. 4 indexed citations

14.

Tusell, Llibertat, Paulino Pérez‐Rodríguez, Selma Forni, X.‐L. Wu, & Daniel S. Gianola. (2013). Genome-enabled methods for predicting litter size in pigs: a comparison. animal. 7(11). 1739–1749. 32 indexed citations

15.

Piles, Miriam & Llibertat Tusell. (2011). Genetic correlation between growth and female and male contributions to fertility in rabbit. Journal of Animal Breeding and Genetics. 129(4). 298–305. 13 indexed citations

16.

Tusell, Llibertat, et al.. (2011). Different ways to model biological relationships between fertility and pH of the semen in rabbits1. Journal of Animal Science. 89(5). 1294–1303. 11 indexed citations

17.

Tusell, Llibertat, Ingrid David, Loýs Bodin, et al.. (2011). Using the product threshold model for estimating separately the effect of temperature on male and female fertility1. Journal of Animal Science. 89(12). 3983–3995. 15 indexed citations

18.

David, Ingrid, M. J. Carabaño, Llibertat Tusell, et al.. (2010). Product versus additive model for studying artificial insemination results in several livestock populations. Journal of Animal Science. 89(2). 321–328. 7 indexed citations

19.

Piles, Miriam, Llibertat Tusell, M. Baselga, et al.. (2008). Genotype × sperm dosage interaction on reproductive performance after artificial insemination. 2. Male litter size.. 221–226. 1 indexed citations

20.

Tusell, Llibertat, Manel López‐Béjar, Josep Ramón, et al.. (2008). Influence of environmental temperature and relative humidity on quantitative and qualitative semen traits of rabbits.. 359–364. 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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