Fabio Correddu

1.0k total citations
44 papers, 772 citations indexed

About

Fabio Correddu is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Fabio Correddu has authored 44 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Agronomy and Crop Science, 20 papers in Genetics and 15 papers in Animal Science and Zoology. Recurrent topics in Fabio Correddu's work include Ruminant Nutrition and Digestive Physiology (21 papers), Genetic and phenotypic traits in livestock (18 papers) and Fatty Acid Research and Health (12 papers). Fabio Correddu is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (21 papers), Genetic and phenotypic traits in livestock (18 papers) and Fatty Acid Research and Health (12 papers). Fabio Correddu collaborates with scholars based in Italy, United States and Switzerland. Fabio Correddu's co-authors include Anna Nudda, Giuseppe Pulina, G. Battacone, Mondina Francesca Lunesu, A.S. Atzori, Giustino Gaspa, N.P.P. Macciotta, Alberto Cesarani, Corrado Dimauro and A. Cannas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Fabio Correddu

41 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabio Correddu Italy 17 368 294 191 187 178 44 772
Alice Cappucci Italy 14 479 1.3× 255 0.9× 112 0.6× 139 0.7× 181 1.0× 22 763
Bernardo Valenti Italy 22 467 1.3× 487 1.7× 205 1.1× 243 1.3× 295 1.7× 58 1.1k
Antonio Natalello Italy 18 305 0.8× 500 1.7× 180 0.9× 88 0.5× 283 1.6× 57 885
Alexandros Mavrommatis Greece 19 290 0.8× 218 0.7× 136 0.7× 61 0.3× 167 0.9× 58 800
Valentina Vasta Italy 16 598 1.6× 743 2.5× 180 0.9× 134 0.7× 244 1.4× 19 1.2k
Stefano Rapaccini Italy 16 440 1.2× 296 1.0× 114 0.6× 129 0.7× 250 1.4× 33 721
M.T. Dentinho Portugal 18 571 1.6× 451 1.5× 94 0.5× 126 0.7× 125 0.7× 32 885
Valentina Roscini Italy 12 218 0.6× 362 1.2× 100 0.5× 67 0.4× 120 0.7× 16 618
Elizabeth Wina Indonesia 16 681 1.9× 254 0.9× 201 1.1× 68 0.4× 148 0.8× 100 1.2k
Jean‐Baptiste Coulon France 13 334 0.9× 373 1.3× 456 2.4× 131 0.7× 109 0.6× 14 846

Countries citing papers authored by Fabio Correddu

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Correddu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Correddu

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

All Works

20 of 20 papers shown
1.
Nudda, Anna, S. Carta, Fabio Correddu, et al.. (2025). A meta-analysis on use of agro-industrial by-products rich in polyphenols in dairy small ruminant nutrition. animal. 19. 101522–101522. 2 indexed citations
2.
Giannuzzi, Diana, Alessio Cecchinato, Fabio Correddu, et al.. (2025). 16S rRNA gene amplicon sequencing for microbiota analysis of rumen fluid, feces, and milk of Sarda sheep fed different contents of alfalfa hay (Medicago sativa). Journal of Dairy Science. 108(9). 10306–10324.
3.
Carta, S., Fabio Correddu, Roberto Steri, et al.. (2025). Effect of grape pomace supplementation in mid-lactation dairy ewes on production and quality of milk and methane emissions. Journal of Animal Science. 103.
4.
5.
Carta, S., Fabio Correddu, Alberto Cesarani, et al.. (2023). Dry Matter Intake Prediction from Milk Spectra in Sarda Dairy Sheep. Animals. 13(4). 763–763. 8 indexed citations
6.
Atzori, A.S., et al.. (2023). Evaluation of a dietary blend of essential oils and polyphenols on methane emission by ewes. Animal Production Science. 63(15). 1483–1493. 4 indexed citations
7.
Correddu, Fabio, et al.. (2023). Phenotypic and genetic characterisation of methane emission predicted from milk fatty acid profile of Sarda dairy ewes. Italian Journal of Animal Science. 22(1). 805–815. 1 indexed citations
8.
Carta, S., et al.. (2023). Investigation of phenotypic, genetic and genomic background of Milk spectra in Sarda dairy sheep. Journal of Animal Breeding and Genetics. 141(3). 317–327. 1 indexed citations
9.
Carta, S., Alberto Cesarani, Fabio Correddu, & N.P.P. Macciotta. (2023). Understanding the phenotypic and genetic background of the lactose content in Sarda dairy sheep. Journal of Dairy Science. 106(5). 3312–3320. 9 indexed citations
10.
Cesarani, Alberto, Giustino Gaspa, Fabio Correddu, Corrado Dimauro, & N.P.P. Macciotta. (2022). Unravelling the effect of environment on the genome of Sarda breed ewes using Runs of Homozygosity. Journal of Animal Breeding and Genetics. 139(3). 292–306. 12 indexed citations
11.
Correddu, Fabio, Giustino Gaspa, Alberto Cesarani, & N.P.P. Macciotta. (2022). Phenotypic and genetic characterization of the occurrence of noncoagulating milk in dairy sheep. Journal of Dairy Science. 105(8). 6773–6782. 6 indexed citations
12.
Pulina, Giuseppe, et al.. (2021). The milk fingerprint of Sardinian dairy sheep: quality and yield of milk used for Pecorino Romano P.D.O. cheese production on population-based 5-year survey. Italian Journal of Animal Science. 20(1). 171–180. 16 indexed citations
13.
Correddu, Fabio, Alberto Cesarani, Corrado Dimauro, Giustino Gaspa, & N.P.P. Macciotta. (2021). Principal component and multivariate factor analysis of detailed sheep milk fatty acid profile. Journal of Dairy Science. 104(4). 5079–5094. 21 indexed citations
14.
Lunesu, Mondina Francesca, Fabio Correddu, Francesco Fancello, et al.. (2020). Prenatal exposure to different diets influences programming of glucose and insulin metabolism in dairy ewes. Journal of Dairy Science. 103(10). 8853–8863. 5 indexed citations
15.
Nudda, Anna, A. Cannas, Fabio Correddu, et al.. (2020). Sheep and Goats Respond Differently to Feeding Strategies Directed to Improve the Fatty Acid Profile of Milk Fat. Animals. 10(8). 1290–1290. 55 indexed citations
16.
Correddu, Fabio, Mondina Francesca Lunesu, A.S. Atzori, et al.. (2020). Can Agro-Industrial By-Products Rich in Polyphenols be Advantageously Used in the Feeding and Nutrition of Dairy Small Ruminants?. Animals. 10(1). 131–131. 146 indexed citations
17.
18.
Nudda, Anna, A.S. Atzori, Fabio Correddu, et al.. (2019). Effects of nutrition on main components of sheep milk. Small Ruminant Research. 184. 106015–106015. 29 indexed citations
19.
20.
Correddu, Fabio, Giustino Gaspa, Giuseppe Pulina, & Anna Nudda. (2016). Grape seed and linseed, alone and in combination, enhance unsaturated fatty acids in the milk of Sarda dairy sheep. Journal of Dairy Science. 99(3). 1725–1735. 53 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alice Cappucci Breakdown of academic impact, for papers by Bernardo Valenti Breakdown of academic impact, for papers by Antonio Natalello Breakdown of academic impact, for papers by Alexandros Mavrommatis Breakdown of academic impact, for papers by Valentina Vasta Breakdown of academic impact, for papers by Stefano Rapaccini Breakdown of academic impact, for papers by M.T. Dentinho Breakdown of academic impact, for papers by Valentina Roscini Breakdown of academic impact, for papers by Elizabeth Wina Breakdown of academic impact, for papers by Jean‐Baptiste Coulon
Rankless by CCL
2026