C. Cerioli

504 total citations
12 papers, 424 citations indexed

About

C. Cerioli is a scholar working on Plant Science, Nutrition and Dietetics and Animal Science and Zoology. According to data from OpenAlex, C. Cerioli has authored 12 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Nutrition and Dietetics and 4 papers in Animal Science and Zoology. Recurrent topics in C. Cerioli's work include Food composition and properties (4 papers), Phytase and its Applications (4 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). C. Cerioli is often cited by papers focused on Food composition and properties (4 papers), Phytase and its Applications (4 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). C. Cerioli collaborates with scholars based in Italy. C. Cerioli's co-authors include Antonio Gallo, F. Masoero, Gianluca Giuberti, Paola Fortunati, Maurizio Moschini, Terenzio Bertuzzi, Aldo Prandini, Samantha Sigolo, M. Morlacchini and Stefania Conti and has published in prestigious journals such as PLoS ONE, Food Chemistry and Journal of the Science of Food and Agriculture.

In The Last Decade

C. Cerioli

11 papers receiving 410 citations

Peers

C. Cerioli
C. Cerioli
Citations per year, relative to C. Cerioli C. Cerioli (= 1×) peers Helle N. Johansen

Countries citing papers authored by C. Cerioli

Since Specialization
Citations

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

Fields of papers citing papers by C. Cerioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Cerioli

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

All Works

12 of 12 papers shown
1.
Gallo, Antonio, Terenzio Bertuzzi, Gianluca Giuberti, et al.. (2015). New assessment based on the use of principal factor analysis to investigate corn silage quality from nutritional traits, fermentation end products and mycotoxins. Journal of the Science of Food and Agriculture. 96(2). 437–448. 49 indexed citations
2.
Cerioli, C., et al.. (2015). Gluten free Maize Cookies Prepared with High-amylose Starch: In Vitro Starch Digestibility and Sensory Characteristics. Journal of Nutrition & Food Sciences. 5(6). 16 indexed citations
3.
Giuberti, Gianluca, Antonio Gallo, C. Cerioli, Paola Fortunati, & F. Masoero. (2014). Cooking quality and starch digestibility of gluten free pasta using new bean flour. Food Chemistry. 175. 43–49. 158 indexed citations
4.
Giovati, Laura, Antonio Gallo, F. Masoero, et al.. (2014). Vaccination of Heifers with Anaflatoxin Improves the Reduction of Aflatoxin B1 Carry Over in Milk of Lactating Dairy Cows. PLoS ONE. 9(4). e94440–e94440. 14 indexed citations
5.
Gallo, Antonio, Maurizio Moschini, C. Cerioli, & F. Masoero. (2013). Use of principal component analysis to classify forages and predict their calculated energy content. animal. 7(6). 930–939. 47 indexed citations
6.
Giuberti, Gianluca, Antonio Gallo, C. Cerioli, Maurizio Moschini, & F. Masoero. (2013). In vitro evaluation of the impact of zein proteins on starch digestion and dry matter digestibility for pigs. 31–31. 1 indexed citations
7.
Giuberti, Gianluca, Antonio Gallo, Maurizio Moschini, C. Cerioli, & F. Masoero. (2013). Evaluation of the impact of maize endosperm vitreousness on in vitro starch digestion, dry matter digestibility and fermentation characteristics for pigs. Animal Feed Science and Technology. 186(1-2). 71–80. 14 indexed citations
8.
Giuberti, Gianluca, Antonio Gallo, C. Cerioli, & F. Masoero. (2012). In vitro starch digestion and predicted glycemic index of cereal grains commonly utilized in pig nutrition. Animal Feed Science and Technology. 174(3-4). 163–173. 99 indexed citations
9.
Prandini, Aldo, Samantha Sigolo, M. Morlacchini, C. Cerioli, & F. Masoero. (2011). Pea (Pisum sativum) and faba bean (Vicia faba L.) seeds as protein sources in growing-finishing heavy pig diets: effect on growth performance, carcass characteristics and on fresh and seasoned Parma ham quality. Italian Journal of Animal Science. 10(4). e45–e45. 15 indexed citations
10.
Prandini, Aldo, Samantha Sigolo, C. Cerioli, & Gianfranco Piva. (2009). Survey on conjugated linoleic acid (CLA) content and fatty acid composition of Grana Padano cheese produced in different seasons and areas. Italian Journal of Animal Science. 8(4). 531–540. 9 indexed citations
11.
Cerioli, C., et al.. (1994). Ergosterol content in flour from tender wheat infested by Tribolium confusum du Val and Ephestia kühniella Zeller. Journal of Applied Entomology. 117(1-5). 318–320. 1 indexed citations
12.
Cerioli, C., et al.. (1992). Nutritive value of meat of guineafowls (Numidia meleagris).. 21(4). 373–382. 1 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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