S. Cannata

502 total citations
11 papers, 404 citations indexed

About

S. Cannata is a scholar working on Animal Science and Zoology, Food Science and Small Animals. According to data from OpenAlex, S. Cannata has authored 11 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Animal Science and Zoology, 4 papers in Food Science and 2 papers in Small Animals. Recurrent topics in S. Cannata's work include Animal Nutrition and Physiology (11 papers), Meat and Animal Product Quality (9 papers) and Sensory Analysis and Statistical Methods (3 papers). S. Cannata is often cited by papers focused on Animal Nutrition and Physiology (11 papers), Meat and Animal Product Quality (9 papers) and Sensory Analysis and Statistical Methods (3 papers). S. Cannata collaborates with scholars based in Italy, Morocco and United States. S. Cannata's co-authors include C. Corino, Raffaella Rossi, G. Pastorelli, S. Ratti, Siria Tavaniello, Giuseppe Maiorano, S. J. Moeller, T. E. Engle, H. N. Zerby and K. E. Belk and has published in prestigious journals such as Journal of Animal Science, Meat Science and Journal of the Science of Food and Agriculture.

In The Last Decade

S. Cannata

11 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Cannata Italy 8 308 66 66 65 46 11 404
Teresinha Marisa Bertol Brazil 13 396 1.3× 55 0.8× 147 2.2× 93 1.4× 35 0.8× 57 557
J. M. Leheska United States 7 407 1.3× 95 1.4× 58 0.9× 53 0.8× 18 0.4× 9 501
Mylène Gobert France 11 243 0.8× 107 1.6× 56 0.8× 56 0.9× 69 1.5× 15 455
Lúcio Francelino Araújo Brazil 13 514 1.7× 88 1.3× 78 1.2× 50 0.8× 60 1.3× 80 611
D. F. Li China 10 218 0.7× 92 1.4× 52 0.8× 76 1.2× 23 0.5× 12 354
Muhammed Adebayo Arowolo China 9 329 1.1× 32 0.5× 46 0.7× 68 1.0× 28 0.6× 10 489
Z.Y. Niu China 9 344 1.1× 60 0.9× 32 0.5× 75 1.2× 64 1.4× 16 504
Markus K Wiltafsky-Martin Germany 13 282 0.9× 64 1.0× 77 1.2× 105 1.6× 16 0.3× 25 508
Daniele Dipasquale Italy 6 157 0.5× 94 1.4× 65 1.0× 69 1.1× 28 0.6× 7 359

Countries citing papers authored by S. Cannata

Since Specialization
Citations

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

Fields of papers citing papers by S. Cannata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Cannata

This figure shows the co-authorship network connecting the top 25 collaborators of S. Cannata. A scholar is included among the top collaborators of S. Cannata 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 S. Cannata. S. Cannata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Corino, C., Raffaella Rossi, S. Cannata, & S. Ratti. (2014). Effect of dietary linseed on the nutritional value and quality of pork and pork products: Systematic review and meta-analysis. Meat Science. 98(4). 679–688. 58 indexed citations
2.
Rossi, Raffaella, G. Pastorelli, S. Cannata, et al.. (2013). Effect of long term dietary supplementation with plant extract on carcass characteristics meat quality and oxidative stability in pork. Meat Science. 95(3). 542–548. 98 indexed citations
3.
Cannata, S., T. E. Engle, S. J. Moeller, et al.. (2010). Effect of visual marbling on sensory properties and quality traits of pork loin. Meat Science. 85(3). 428–434. 71 indexed citations
4.
Rossi, Raffaella, G. Pastorelli, S. Cannata, & C. Corino. (2010). Recent advances in the use of fatty acids as supplements in pig diets: A review. Animal Feed Science and Technology. 162(1-2). 1–11. 90 indexed citations
5.
Cannata, S., S. Ratti, Karine Méteau, et al.. (2009). Evaluation of different types of dry-cured ham by Italian and French consumers. Meat Science. 84(4). 601–606. 16 indexed citations
6.
Cannata, S., et al.. (2009). Intramuscular fat and sensory properties of pork loin. Italian Journal of Animal Science. 8(sup2). 483–485. 6 indexed citations
8.
Pastorelli, G., Raffaella Rossi, S. Cannata, & C. Corino. (2009). Total antiradical activity in male castrated piglets blood: reference values. Italian Journal of Animal Science. 8(sup2). 640–642. 9 indexed citations
9.
Corino, C., et al.. (2008). Effect of different production typologies on chemical, physical and sensory characteristics of Italian commercial pork. Journal of the Science of Food and Agriculture. 89(3). 463–469. 7 indexed citations
10.
Cannata, S., et al.. (2007). A sensory study on loin quality from pigs slaughtered at 120 or 160 kg liveweight. Italian Journal of Animal Science. 6(sup1). 676–678. 1 indexed citations
11.
Corino, C., et al.. (2007). Growth performance and oxidative status in piglets supplemented with verbascoside and teupolioside. Italian Journal of Animal Science. 6(sup1). 292–294. 19 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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