Federica Signorelli

477 citations
27 papers · 299 indexed · h-index 10

Federica Signorelli

26 papers receiving 288 citations

Peers

Federica Signorelli
Comparison fields: 5 of 47
  • Agronomy and Crop Science 103
  • Animal Science and Zoology 88
  • Genetics 158
  • Biochemistry 31
  • Nutrition and Dietetics 47
Replace André Neau with:
André Neau France
Chul Wook Kim South Korea
Sirja Viitala Finland
Wenqiong Chai China
Chuanliang Ji China
R. P. Gilbert United States
M. Shinoda Japan
Hugues Caillat France
Philippe Lamberton France
Nobuhisa Ashida Japan
Federica Signorelli relative to André Neau France André Neau's profile →
Citations per field
00.5×4.3×
André Neau · 1×
Citations per year

Countries citing papers authored by Federica Signorelli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Federica Signorelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federica Signorelli Line = papers co-authored together Federica Signorelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20242
4 20232
5 20236
6 20234
7 20221
8 202119
9 20191
10
Milk biomarkers to evaluate health status of mammary gland in high producing dairy cattle
20181
11
Expression profiles of immune genes in milk somatic cells and MIR predicted mineral contents in milk as indicators of mastitis
20172
12 201720
13 20162
14 201031
15 20099
16 200935
17 200848
18 200825
19 200415
20
Physical quality of several european beef breeds:preliminary results
20043

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), Milk Quality and Mastitis in Dairy Cows (5 papers), Reproductive Physiology in Livestock (4 papers), Microbial infections and disease research (4 papers), Molecular Biology Techniques and Applications (3 papers), Herpesvirus Infections and Treatments (3 papers) and Animal Disease Management and Epidemiology (3 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 Italian Journal of Animal Science, Frontiers in Veterinary Science, Small Ruminant Research, Livestock Science and Journal of Dairy Science.

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

Rankless by CCL
2026