Federica Signorelli
- Genetics
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 5%
- Molecular Biology
- Food Science
- Co-authors
- F. NapolitanoG. CatilloB. MoioliGiovanna De MatteisLuigi OrrùMaria Carmela ScatàCinzia MarchitelliGiovanna Contarini
- Topics
- Meat and Animal Product Quality (6 papers)Genetic and phenotypic traits in livestock (5 papers)Milk Quality and Mastitis in Dairy Cows (5 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Federica Signorelli
26 papers receiving 288 citations
Peers
Comparison fields: 5 of 47
- Genetics 158
- Agronomy and Crop Science 103
- Animal Science and Zoology 88
- Molecular Biology 60
- Food Science 51
Countries citing papers authored by Federica Signorelli
This map shows the geographic impact of Federica Signorelli'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 Federica Signorelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Signorelli more than expected).
Fields of papers citing papers by Federica Signorelli
This network shows the impact of papers produced by Federica Signorelli. 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 Federica Signorelli. The network helps show where Federica Signorelli may publish in the future.
Co-authorship network of co-authors of Federica Signorelli
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Signorelli. A scholar is included among the top collaborators of Federica Signorelli 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 Federica Signorelli. Federica Signorelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | Milk biomarkers to evaluate health status of mammary gland in high producing dairy cattle | 1 |
| 11 | Expression profiles of immune genes in milk somatic cells and MIR predicted mineral contents in milk as indicators of mastitis | 2 |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 31 | |
| 15 | 9 | |
| 16 | 35 | |
| 17 | 48 | |
| 18 | 25 | |
| 19 | 15 | |
| 20 | Physical quality of several european beef breeds:preliminary results | 3 |
About Federica Signorelli
Federica Signorelli is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Microbiology, having authored 27 papers that have together received 299 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (6 papers), Genetic and phenotypic traits in livestock (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Agronomy and Crop Science (103 citations), Animal Science and Zoology (88 citations) and Genetics (158 citations). Federica Signorelli has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include F. Napolitano, G. Catillo, B. Moioli, Giovanna De Matteis, Luigi Orrù, Maria Carmela Scatà, Cinzia Marchitelli, Giovanna Contarini, Salvatore Claps and G.F.W. Haenlein. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science and Food Control.
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.