Mario Barbato

70 total papers · 2.5k total citations
40 papers, 987 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 40 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 9 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 (19 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 (19 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, Rodrigo Martí­nez, Natalia Sevane and А. В. Доцев 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 967 citations

Hit Papers

SNeP: a tool to estimate ... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mario Barbato 830 181 147 132 111 40 987
Laurence Flori 657 0.8× 166 0.9× 207 1.4× 154 1.2× 178 1.6× 27 1.0k
Emma K. Finlay 677 0.8× 135 0.7× 226 1.5× 140 1.1× 169 1.5× 16 946
Catarina Ginja 810 1.0× 66 0.4× 110 0.7× 79 0.6× 170 1.5× 46 1.0k
Kathiravan Periasamy 584 0.7× 116 0.6× 325 2.2× 122 0.9× 132 1.2× 78 1.1k
Katayoun Moazami‐Goudarzi 748 0.9× 114 0.6× 159 1.1× 70 0.5× 369 3.3× 37 1.1k
Marco Tolone 776 0.9× 166 0.9× 203 1.4× 169 1.3× 200 1.8× 71 1.1k
Roberta Ciampolini 833 1.0× 95 0.5× 145 1.0× 221 1.7× 191 1.7× 66 1.1k
Rodrigo Martí­nez 520 0.6× 76 0.4× 203 1.4× 155 1.2× 104 0.9× 75 862
Andrey A. Yurchenko 440 0.5× 132 0.7× 57 0.4× 97 0.7× 224 2.0× 58 861
Maja Ferenčaković 1.0k 1.2× 176 1.0× 162 1.1× 114 0.9× 72 0.6× 34 1.1k

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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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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