Diana Giannuzzi

968 total citations
60 papers, 569 citations indexed

About

Diana Giannuzzi is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Diana Giannuzzi has authored 60 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Agronomy and Crop Science, 28 papers in Genetics and 25 papers in Animal Science and Zoology. Recurrent topics in Diana Giannuzzi's work include Genetic and phenotypic traits in livestock (17 papers), Milk Quality and Mastitis in Dairy Cows (17 papers) and Effects of Environmental Stressors on Livestock (14 papers). Diana Giannuzzi is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Milk Quality and Mastitis in Dairy Cows (17 papers) and Effects of Environmental Stressors on Livestock (14 papers). Diana Giannuzzi collaborates with scholars based in Italy, Switzerland and United States. Diana Giannuzzi's co-authors include Alessio Cecchinato, Sara Pegolo, Erminio Trevisi, Stefano Schiavon, Luigi Gallo, Vittoria Bisutti, Paolo Ajmone‐Marsan, Luca Aresu, Lúcio Flávio Macêdo Mota and Franco Tagliapietra and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Diana Giannuzzi

55 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Giannuzzi Italy 15 264 231 147 119 109 60 569
Piotr Brodzki Poland 13 282 1.1× 85 0.4× 66 0.4× 37 0.3× 48 0.4× 67 464
M. Boutinaud France 12 398 1.5× 229 1.0× 130 0.9× 112 0.9× 105 1.0× 19 596
S Akter Bangladesh 14 120 0.5× 81 0.4× 153 1.0× 82 0.7× 17 0.2× 36 457
Go Kitahara Japan 14 362 1.4× 141 0.6× 102 0.7× 107 0.9× 29 0.3× 62 575
Chandra Sekhar Mukhopadhyay India 12 88 0.3× 135 0.6× 62 0.4× 279 2.3× 20 0.2× 80 630
Romana Turk Croatia 12 336 1.3× 96 0.4× 103 0.7× 142 1.2× 174 1.6× 37 571
K.M. Swanson New Zealand 8 271 1.0× 168 0.7× 56 0.4× 233 2.0× 151 1.4× 9 571
Enqin Zheng China 18 122 0.5× 552 2.4× 246 1.7× 590 5.0× 70 0.6× 93 1.2k
Srinu Reddi India 17 109 0.4× 87 0.4× 77 0.5× 400 3.4× 144 1.3× 23 621
Gina M. Pighetti United States 18 626 2.4× 241 1.0× 117 0.8× 166 1.4× 161 1.5× 40 933

Countries citing papers authored by Diana Giannuzzi

Since Specialization
Citations

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

Fields of papers citing papers by Diana Giannuzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Giannuzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Giannuzzi. A scholar is included among the top collaborators of Diana Giannuzzi 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 Diana Giannuzzi. Diana Giannuzzi 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.
Amalfitano, Nicolò, Diana Giannuzzi, Sara Pegolo, et al.. (2025). Leveraging milk mid-infrared spectroscopy to authenticate animal welfare, farming practices, and dairy systems of Parmigiano Reggiano cheese. Journal of Dairy Science. 108(3). 2642–2657. 2 indexed citations
2.
Lanza, Massimiliano, Luigi Gallo, Francesca Soglia, et al.. (2025). Sustainability of Animal Production Chains: Alternative Protein Sources as an Ecological Driver in Animal Feeding: A Review. Animals. 15(22). 3245–3245.
3.
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.
4.
Bisutti, Vittoria, Sara Pegolo, Diana Giannuzzi, et al.. (2025). Changes in the milk and fecal microbiota in Holstein cows with subclinical intramammary infection. Journal of Dairy Science. 108(9). 10220–10236. 2 indexed citations
6.
Giannuzzi, Diana, Angela Costa, Giuseppe Conte, et al.. (2024). Milk phenomics: leveraging biological bonds with blood and infrared technologies for evaluating animal nutritional and health status. Italian Journal of Animal Science. 23(1). 780–801. 6 indexed citations
7.
Bonelli, Francesca, Diana Giannuzzi, Marco Milanesi, et al.. (2024). Mind the Step: An Artificial Intelligence-Based Monitoring Platform for Animal Welfare. Sensors. 24(24). 8042–8042. 8 indexed citations
8.
Franchin, Cinzia, Giorgio Arrigoni, Ilaria Battisti, et al.. (2023). Subclinical Mastitis from Streptococcus agalactiae and Prototheca spp. Induces Changes in Milk Peptidome in Holstein Cattle. Journal of Agricultural and Food Chemistry. 71(44). 16827–16839. 2 indexed citations
9.
Laghi, Luca, Enrico Fiore, Alessio Cecchinato, et al.. (2023). Serum metabolome differences associated with subclinical intramammary infection caused by Streptococcus agalactiae and Prototheca spp. in multiparous dairy cows. Journal of Dairy Science. 107(3). 1656–1668. 8 indexed citations
10.
Giannuzzi, Diana, Sara Pegolo, Vittoria Bisutti, et al.. (2023). Novel insights into the associations between immune cell population distribution in mammary glands and milk minerals in Holstein cows. Journal of Dairy Science. 107(1). 593–606. 5 indexed citations
11.
Giannuzzi, Diana, Sara Pegolo, Vittoria Bisutti, et al.. (2023). Associations between the detailed milk mineral profile, milk composition, and metabolic status in Holstein cows. Journal of Dairy Science. 106(9). 6577–6591. 18 indexed citations
12.
Bisutti, Vittoria, Sara Pegolo, Matteo Gianesella, et al.. (2023). Effect of intramammary infection and inflammation on milk protein profile assessed at the quarter level in Holstein cows. Journal of Dairy Science. 107(3). 1413–1426. 3 indexed citations
13.
Giannuzzi, Diana, F. Piccioli-Cappelli, Sara Pegolo, et al.. (2023). Observational study on the associations between milk yield, composition, and coagulation properties with blood biomarkers of health in Holstein cows. Journal of Dairy Science. 107(3). 1397–1412. 9 indexed citations
14.
Bisutti, Vittoria, Sara Pegolo, Diana Giannuzzi, et al.. (2022). Impact of somatic cell count combined with differential somatic cell count on milk protein fractions in Holstein cattle. Journal of Dairy Science. 105(8). 6447–6459. 18 indexed citations
15.
Giannuzzi, Diana, Sara Pegolo, Luigi Gallo, et al.. (2022). Associations between Milk Fatty Acid Profile and Body Condition Score, Ultrasound Hepatic Measurements and Blood Metabolites in Holstein Cows. Animals. 12(9). 1202–1202. 16 indexed citations
16.
Pegolo, Sara, Vittoria Bisutti, Diana Giannuzzi, et al.. (2022). Streptococcus agalactiae and Prototheca spp. induce different mammary gland leukocyte responses in Holstein cows. SHILAP Revista de lepidopterología. 3(4). 270–274. 7 indexed citations
17.
Bisutti, Vittoria, Sara Pegolo, Diana Giannuzzi, et al.. (2022). The β-casein (CSN2) A2 allelic variant alters milk protein profile and slightly worsens coagulation properties in Holstein cows. Journal of Dairy Science. 105(5). 3794–3809. 45 indexed citations
18.
Giannuzzi, Diana, Laura Marconato, Raffaella De Maria, et al.. (2022). The genomic landscape of canine diffuse large B-cell lymphoma identifies distinct subtypes with clinical and therapeutic implications. Lab Animal. 51(7). 191–202. 13 indexed citations
19.
Pegolo, Sara, Lúcio Flávio Macêdo Mota, Vittoria Bisutti, et al.. (2021). Genetic parameters of differential somatic cell count, milk composition, and cheese-making traits measured and predicted using spectral data in Holstein cows. Journal of Dairy Science. 104(10). 10934–10949. 19 indexed citations
20.
Giannuzzi, Diana, Luca Giudice, Laura Marconato, et al.. (2020). Integrated analysis of transcriptome, methylome and copy number aberrations data of marginal zone lymphoma and follicular lymphoma in dog. Veterinary and Comparative Oncology. 18(4). 645–655. 9 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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