Salvatore Barbera

85 total papers · 714 total citations
49 papers, 493 citations indexed

About

Salvatore Barbera is a scholar working on Animal Science and Zoology, Food Science and Agronomy and Crop Science. According to data from OpenAlex, Salvatore Barbera has authored 49 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Animal Science and Zoology, 9 papers in Food Science and 8 papers in Agronomy and Crop Science. Recurrent topics in Salvatore Barbera's work include Meat and Animal Product Quality (21 papers), Ruminant Nutrition and Digestive Physiology (8 papers) and Microplastics and Plastic Pollution (7 papers). Salvatore Barbera is often cited by papers focused on Meat and Animal Product Quality (21 papers), Ruminant Nutrition and Digestive Physiology (8 papers) and Microplastics and Plastic Pollution (7 papers). Salvatore Barbera collaborates with scholars based in Italy, South Africa and Tunisia. Salvatore Barbera's co-authors include Sonia Tassone, Silvia Bordiga, C. Morterra, G. Cerrato, Riccardo Fortina, Beniamino T. Cenci‐Goga, Paola Sechi, Maria Francesca Iulietto, Musafiri Karama and Luca Grispoldi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Food Chemistry.

In The Last Decade

Salvatore Barbera

44 papers receiving 471 citations

Author Peers

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

Author						Papers	Cites
Salvatore Barbera	215	107	99	62	50	49	493
Weber da Silva Robazza	163 0.8×	90 0.8×	151 1.5×	48 0.8×	112 2.2×	54	536
Alessandro Cazonatto Galvão	95 0.4×	86 0.8×	103 1.0×	37 0.6×	178 3.6×	52	500
Bruno Iñarra	55 0.3×	49 0.5×	99 1.0×	108 1.7×	43 0.9×	35	415
Chuanxin Shi	201 0.9×	72 0.7×	16 0.2×	39 0.6×	17 0.3×	42	488
M. E. Bailey	306 1.4×	18 0.2×	97 1.0×	74 1.2×	117 2.3×	27	503
Ajeet Kumar	63 0.3×	59 0.6×	49 0.5×	67 1.1×	23 0.5×	34	539
Luana Alves	39 0.2×	18 0.2×	131 1.3×	53 0.9×	22 0.4×	24	426
Leli Wang	43 0.2×	21 0.2×	115 1.2×	133 2.1×	35 0.7×	29	449
Ichiro Goto	38 0.2×	63 0.6×	17 0.2×	21 0.3×	21 0.4×	73	419
Nitin Tyagi	80 0.4×	41 0.4×	129 1.3×	77 1.2×	31 0.6×	65	470

Countries citing papers authored by Salvatore Barbera

Since Specialization

Citations

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

Fields of papers citing papers by Salvatore Barbera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Barbera

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