D. Vicario

776 total citations
39 papers, 608 citations indexed

About

D. Vicario is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, D. Vicario has authored 39 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 22 papers in Agronomy and Crop Science and 12 papers in Animal Science and Zoology. Recurrent topics in D. Vicario's work include Genetic and phenotypic traits in livestock (34 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Milk Quality and Mastitis in Dairy Cows (10 papers). D. Vicario is often cited by papers focused on Genetic and phenotypic traits in livestock (34 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Milk Quality and Mastitis in Dairy Cows (10 papers). D. Vicario collaborates with scholars based in Italy, United States and United Kingdom. D. Vicario's co-authors include N.P.P. Macciotta, A. Cappio-Borlino, Paolo Carnier, V. Bonfatti, Alessio Cecchinato, Alberto Cesarani, Giustino Gaspa, Daniela Lourenço, Paolo Ajmone‐Marsan and Corrado Dimauro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

D. Vicario

37 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Vicario Italy 14 506 346 248 64 63 39 608
A. Rossoni Italy 14 503 1.0× 327 0.9× 193 0.8× 100 1.6× 46 0.7× 47 626
F. Canavesi Italy 13 477 0.9× 352 1.0× 161 0.6× 62 1.0× 50 0.8× 47 556
Mickaël Brochard France 15 485 1.0× 294 0.8× 210 0.8× 49 0.8× 39 0.6× 28 696
A.B. Samoré Italy 17 561 1.1× 347 1.0× 238 1.0× 67 1.0× 87 1.4× 44 672
A. Cappio-Borlino Italy 15 547 1.1× 422 1.2× 321 1.3× 69 1.1× 86 1.4× 28 709
Zafer Ulutaş Türkiye 13 349 0.7× 219 0.6× 359 1.4× 59 0.9× 47 0.7× 77 605
Amir Rashidi Iran 17 872 1.7× 519 1.5× 230 0.9× 171 2.7× 41 0.7× 49 967
S. Alijani Iran 13 284 0.6× 152 0.4× 246 1.0× 96 1.5× 34 0.5× 80 519
Lúcio Flávio Macêdo Mota Brazil 16 512 1.0× 258 0.7× 307 1.2× 73 1.1× 26 0.4× 74 727
D. Peškovičová Slovakia 14 345 0.7× 191 0.6× 228 0.9× 25 0.4× 74 1.2× 40 484

Countries citing papers authored by D. Vicario

Since Specialization
Citations

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

Fields of papers citing papers by D. Vicario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Vicario

This figure shows the co-authorship network connecting the top 25 collaborators of D. Vicario. A scholar is included among the top collaborators of D. Vicario 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 D. Vicario. D. Vicario 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
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Macciotta, N.P.P., et al.. (2023). A transgenerational study on the effect of great-granddam birth month on granddaughter EBV for production traits in Italian Simmental cattle. Journal of Dairy Science. 106(4). 2588–2597. 6 indexed citations
3.
Cesarani, Alberto, Jorge Hidalgo, André Garcia, et al.. (2023). Genetic background of semen parameters in Italian Simmental bulls. Italian Journal of Animal Science. 22(1). 76–83. 1 indexed citations
4.
Ablondi, Michela, Andrea Summer, Giorgia Stocco, et al.. (2023). Heritability and genetic correlations of total and differential somatic cell count with milk yield and composition traits in Italian Simmental cows. Journal of Dairy Science. 106(12). 9071–9077. 10 indexed citations
5.
Giaretta, Elisa, Paolo Mongillo, Laura Da Dalt, et al.. (2023). Temperature and humidity index (THI) affects salivary cortisol (HC) and dehydroepiandrosterone (DHEA) concentrations in growing bulls following stress generated by performance test procedures. Frontiers in Veterinary Science. 10. 1237634–1237634. 1 indexed citations
6.
Matteis, Giovanna De, Francesco Grandoni, Federica Signorelli, et al.. (2022). Combined effects of CXCL8 (IL-8) and CXCR2 (IL-8R) gene polymorphisms on deregressed MACE EBV indexes of milk-related traits in Simmental bulls. Journal of Dairy Research. 89(4). 375–381. 1 indexed citations
7.
Pegolo, Sara, Cristina Sartori, Hugo Toledo-Alvarado, et al.. (2021). Genetic correlations between fertility traits and milk composition and fatty acids in Holstein-Friesian, Brown Swiss, and Simmental cattle using recursive models. Journal of Dairy Science. 104(6). 6832–6846. 5 indexed citations
8.
Cesarani, Alberto, André Garcia, Jorge Hidalgo, et al.. (2021). Genomic information allows for more accurate breeding values for milkability in dual-purpose Italian Simmental cattle. Journal of Dairy Science. 104(5). 5719–5727. 18 indexed citations
9.
Cesarani, Alberto, Jorge Hidalgo, André Garcia, et al.. (2020). Beef trait genetic parameters based on old and recent data and its implications for genomic predictions in Italian Simmental cattle. Journal of Animal Science. 98(8). 21 indexed citations
10.
Cesarani, Alberto, Giustino Gaspa, Yutaka Masuda, et al.. (2020). Variance components using genomic information for 2 functional traits in Italian Simmental cattle: Calving interval and lactation persistency. Journal of Dairy Science. 103(6). 5227–5233. 13 indexed citations
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Macciotta, N.P.P., Giustino Gaspa, Lorenzo Bomba, et al.. (2015). Genome-wide association analysis in Italian Simmental cows for lactation curve traits using a low-density (7K) SNP panel. Journal of Dairy Science. 98(11). 8175–8185. 17 indexed citations
14.
Ajmone‐Marsan, Paolo, Ezequiel Luís Nicolazzi, Riccardo Negrini, et al.. (2010). Integrating population genomics and genomic selection. Bulletin - International Bull Evaluation Service/Interbull bulletin. 39. 1 indexed citations
15.
Caroli, Anna, S. Chessa, Luca Fontanesi, et al.. (2009). Assessment of 29 candidate genes for milk traits in Italian dairy cattle. UnissResearch (Università degli Studi di Sassari). 5 indexed citations
16.
Vicario, D., et al.. (2006). Genetic evaluation for milkabilty using subjective and measured observations in Italian dual purpose Simmental cows. Bulletin - International Bull Evaluation Service/Interbull bulletin. 53. 3 indexed citations
17.
Vicario, D., et al.. (2005). Test-day model for national genetic evaluation of somatic cell count in Italian Simmental population. Bulletin - International Bull Evaluation Service/Interbull bulletin. 171. 4 indexed citations
18.
Macciotta, N.P.P., D. Vicario, & A. Cappio-Borlino. (2005). Detection of Different Shapes of Lactation Curve for Milk Yield in Dairy Cattle by Empirical Mathematical Models. Journal of Dairy Science. 88(3). 1178–1191. 169 indexed citations
19.
Vicario, D., et al.. (2003). Applicability of different test day models and effect on time at first evaluation of Italian Simmental bulls. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Macciotta, N.P.P., D. Vicario, Giuseppe Pulina, & A. Cappio-Borlino. (2002). Test Day and Lactation Yield Predictions in Italian Simmental Cows by ARMA Methods. Journal of Dairy Science. 85(11). 3107–3114. 23 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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