Mario Barbato

2.5k total citations · 1 hit paper
41 papers, 1.0k citations indexed

About

Mario Barbato is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Mario Barbato has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 10 papers in Agronomy and Crop Science and 7 papers in Molecular Biology. Recurrent topics in Mario Barbato's work include Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetic diversity and population structure (11 papers). Mario Barbato is often cited by papers focused on Genetic and phenotypic traits in livestock (21 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Genetic diversity and population structure (11 papers). Mario Barbato collaborates with scholars based in Italy, United Kingdom and Austria. Mario Barbato's co-authors include Michael W. Bruford, Pablo Orozco‐terWengel, Miika Tapio, Paolo Ajmone‐Marsan, Licia Colli, Paolo Mereu, Frank Hailer, А. В. Доцев, Natalia Sevane and Rodrigo Martínez and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mario Barbato

35 papers receiving 982 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data

2015 349 citations Mario Barbato, Pablo Orozco‐terWengel et al. Frontiers in Genetics profile →

Peers

Mario Barbato

GENET

ACS

ASZ

Kathiravan Periasamy India

Marco Tolone Italy

Hailu Dadi South Korea

Katayoun Moazami‐Goudarzi France

Juan-José Arranz Spain

Rodrigo Martínez Colombia

Roberta Ciampolini Italy

Nedenia Bonvino Stafuzza Brazil

Vincenzo Landi Spain

Amparo Martínez Spain

Kathiravan Periasamy India

Mario Barbato

587 ×0.7

GENET

116 ×0.6

325 ×2.1

ACS

122 ×0.9

ASZ

133 ×1.2

Citations per year, relative to Mario Barbato Mario Barbato (= 1×) peers Kathiravan Periasamy

Countries citing papers authored by Mario Barbato

Since Specialization

Citations

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

Fields of papers citing papers by Mario Barbato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Barbato

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

Tolone, Marco, et al.. (2025). Geographical distribution, genetic diversity, and environmental adaptations of dromedary camel breeds in Saudi Arabia. Frontiers in Veterinary Science. 11. 1490186–1490186. 1 indexed citations

Mereu, Paolo, Pedro Morell Miranda, Kıvılcım Başak Vural, et al.. (2025). Revised phylogeny of mouflon based on expanded sampling of mitogenomes. PLoS ONE. 20(5). e0323354–e0323354.

Amato, Annalisa, Enrico D’Alessandro, F. Goyache, et al.. (2025). Uncovering the architecture of production-driven introgression in Cinisara cattle breed. BMC Genomic Data. 26(1). 47–47.

Sölkner, Johann, Gábor Mészáros, Rudolf Pichler, et al.. (2025). Genomic diversity and selection signatures in Asian Zebu Cattle: insights into adaptation and genetic erosion. Scientific Reports. 15(1). 33346–33346.

Amato, Annalisa, Vincenzo Chiofalo, Vincenzo Lopreiato, et al.. (2025). Genomic insights on the history and selection trajectories of the Comune di Sicilia goat. BMC Genomic Data. 26(1). 78–78.

Barbato, Mario, Licia Colli, Roberto Mantovani, et al.. (2024). Genetic legacy and adaptive signatures: investigating the history, diversity, and selection signatures in Rendena cattle resilient to eighteenth century rinderpest epidemics. Genetics Selection Evolution. 56(1). 32–32. 3 indexed citations

Cattaneo, Luca, Mario Barbato, Camila Urbano Braz, et al.. (2024). Unraveling metabolic stress response in dairy cows: Genetic control of plasma biomarkers throughout lactation and the transition period. Journal of Dairy Science. 107(11). 9602–9614. 2 indexed citations

Pellecchia, Marco, Giulia Papa, Mario Barbato, Giancarlo Capitani, & Ilaria Negri. (2023). Origin of non-exhaust PM in cities by individual analysis of particles collected by honey bees (Apis mellifera). Environmental Pollution. 331(Pt 2). 121885–121885. 7 indexed citations

Bortolami, Alessio, Eva Mazzetto, Viskam Wijewardana, et al.. (2022). Protective Efficacy of H9N2 Avian Influenza Vaccines Inactivated by Ionizing Radiation Methods Administered by the Parenteral or Mucosal Routes. Frontiers in Veterinary Science. 9. 916108–916108. 6 indexed citations

10.

Achilli, Alessandro, Cristian Capelli, Juan Carlos Rincón Flórez, et al.. (2022). Identification of genomic regions associated with total and progressive sperm motility in Italian Holstein bulls. Journal of Dairy Science. 106(1). 407–420. 14 indexed citations

11.

Satta, Valentina, Paolo Mereu, Mario Barbato, et al.. (2021). Genetic characterization and implications for conservation of the last autochthonous Mouflon population in Europe. Scientific Reports. 11(1). 14729–14729. 8 indexed citations

12.

Utsunomiya, Yuri Tani, Marco Milanesi, Mario Barbato, et al.. (2020). Unsupervised detection of ancestry tracks with the GHap r package. Methods in Ecology and Evolution. 11(11). 1448–1454. 4 indexed citations

13.

Barbato, Mario, Michael P. Reichel, Wai Yee Low, et al.. (2020). A genetically unique Chinese cattle population shows evidence of common ancestry with wild species when analysed with a reduced ascertainment bias SNP panel. PLoS ONE. 15(4). e0231162–e0231162. 13 indexed citations

14.

Barbato, Mario, Frank Hailer, Maulik Upadhyay, et al.. (2020). Adaptive introgression from indicine cattle into white cattle breeds from Central Italy. Scientific Reports. 10(1). 1279–1279. 43 indexed citations

15.

Доцев, А. В., Elisabeth Kunz, Olga Kostyunina, et al.. (2019). The first complete mitochondrial genomes of snow sheep (Ovis nivicola) and thinhorn sheep (Ovis dalli) and their phylogenetic implications for the genus Ovis. SHILAP Revista de lepidopterología. 4(1). 1332–1333. 7 indexed citations

16.

Vajana, Elia, Mario Barbato, Licia Colli, et al.. (2018). Combining Landscape Genomics and Ecological Modelling to Investigate Local Adaptation of Indigenous Ugandan Cattle to East Coast Fever. Frontiers in Genetics. 9. 385–385. 24 indexed citations

17.

Денискова, Т. Е., А. В. Доцев, Marina Selionova, et al.. (2018). Population structure and genetic diversity of 25 Russian sheep breeds based on whole-genome genotyping. Genetics Selection Evolution. 50(1). 29–29. 69 indexed citations

18.

Russo, Isa‐Rita M., et al.. (2016). Landscape determinants of fine-scale genetic structure of a small rodent in a heterogeneous landscape (Hluhluwe-iMfolozi Park, South Africa). Scientific Reports. 6(1). 29168–29168. 19 indexed citations

19.

Barbato, Mario, Pablo Orozco‐terWengel, Miika Tapio, & Michael W. Bruford. (2015). SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data. Frontiers in Genetics. 6. 109–109. 349 indexed citations breakdown →

20.

Morelli, Laura, Antonella Useli, Daria Sanna, et al.. (2014). Mitochondrial DNA lineages of Italian Giara and Sarcidano horses. Genetics and Molecular Research. 13(4). 8241–8257. 15 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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