Camillo Pieramati

794 total citations
51 papers, 541 citations indexed

About

Camillo Pieramati is a scholar working on Genetics, Equine and Animal Science and Zoology. According to data from OpenAlex, Camillo Pieramati has authored 51 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 15 papers in Equine and 11 papers in Animal Science and Zoology. Recurrent topics in Camillo Pieramati's work include Genetic and phenotypic traits in livestock (28 papers), Veterinary Equine Medical Research (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Camillo Pieramati is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Veterinary Equine Medical Research (15 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). Camillo Pieramati collaborates with scholars based in Italy, Spain and Chile. Camillo Pieramati's co-authors include Maurizio Silvestrelli, Andrea Giontella, Francesca Maria Sarti, L.D. Van Vleck, Leopoldina Scotti, Angela Polisca, Marco Pepe, Emiliano Lasagna, Giustino Gaspa and Andrea Verini Supplizi and has published in prestigious journals such as Journal of Dairy Science, Journal of Animal Science and Theriogenology.

In The Last Decade

Camillo Pieramati

50 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camillo Pieramati Italy 15 302 128 100 99 74 51 541
Félix Hilário Díaz González Brazil 15 150 0.5× 43 0.3× 239 2.4× 143 1.4× 15 0.2× 50 541
Sara Antoniazzi Italy 18 55 0.2× 44 0.3× 144 1.4× 90 0.9× 195 2.6× 34 699
B.E. Eilts United States 14 116 0.4× 57 0.4× 207 2.1× 37 0.4× 16 0.2× 38 587
Petra Zrimšek Slovenia 13 59 0.2× 59 0.5× 107 1.1× 64 0.6× 22 0.3× 38 464
Pranab Jyoti Das India 15 483 1.6× 27 0.2× 85 0.8× 69 0.7× 148 2.0× 53 714
T. Janowski Poland 16 277 0.9× 80 0.6× 572 5.7× 128 1.3× 53 0.7× 104 931
A.M. Silvestre Portugal 14 270 0.9× 125 1.0× 202 2.0× 164 1.7× 35 0.5× 31 665
Piotr Brodzki Poland 13 85 0.3× 33 0.3× 282 2.8× 66 0.7× 19 0.3× 67 464
Martina Zappaterra Italy 16 268 0.9× 56 0.4× 62 0.6× 568 5.7× 40 0.5× 60 943
Ippolito De Amicis Italy 16 134 0.4× 231 1.8× 320 3.2× 71 0.7× 24 0.3× 44 519

Countries citing papers authored by Camillo Pieramati

Since Specialization
Citations

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

Fields of papers citing papers by Camillo Pieramati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camillo Pieramati

This figure shows the co-authorship network connecting the top 25 collaborators of Camillo Pieramati. A scholar is included among the top collaborators of Camillo Pieramati 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 Camillo Pieramati. Camillo Pieramati 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.
Giontella, Andrea, et al.. (2024). Breeding Value Estimation Based on Morphological Evaluation of the Maremmano Horse Population through Factor Analysis. Animals. 14(15). 2232–2232. 2 indexed citations
2.
Pieramati, Camillo, et al.. (2024). Is There a Difference in the Prevalence of Gastric Ulcers between Stallions Used for Breeding and Those Not Used for Breeding?. Animals. 14(11). 1531–1531. 2 indexed citations
3.
Troisi, Alessandro, Ilaria Bellezza, Francesca Fallarino, et al.. (2023). Expression of CD13 and CD26 on extracellular vesicles in canine seminal plasma: preliminary results. Veterinary Research Communications. 48(1). 357–366. 3 indexed citations
4.
Sgorbini, Micaela, et al.. (2022). Are Horse Owners Able to Estimate Their Animals’ Body Condition Score and Cresty Neck Score?. Veterinary Sciences. 9(10). 544–544. 7 indexed citations
5.
Pieramati, Camillo, et al.. (2022). Estimates of genetic parameters and genetic trend for Wood’s lactation curve traits of Tunisian Holstein–Friesian cows. Tropical Animal Health and Production. 54(4). 223–223. 5 indexed citations
6.
Sgorbini, Micaela, et al.. (2022). Body Condition Score Is Not Correlated to Gastric Ulcers in Non-Athlete Horses. Animals. 12(19). 2637–2637. 3 indexed citations
7.
Giontella, Andrea, Francesca Maria Sarti, Irene Cardinali, et al.. (2020). Genetic Variability and Population Structure in the Sardinian Anglo-Arab Horse. Animals. 10(6). 1018–1018. 17 indexed citations
8.
Giontella, Andrea, Irene Cardinali, Hovirag Lancioni, et al.. (2020). Mitochondrial DNA Survey Reveals the Lack of Accuracy in Maremmano Horse Studbook Records. Animals. 10(5). 839–839. 18 indexed citations
9.
Giontella, Andrea, et al.. (2020). Elo Method and Race Traits: A New Integrated System for Sport Horse Genetic Evaluation. Animals. 10(7). 1145–1145. 7 indexed citations
10.
Giontella, Andrea, Irene Cardinali, Camillo Pieramati, et al.. (2020). A Genetic Window on Sardinian Native Horse Breeds through Uniparental Molecular Systems. Animals. 10(9). 1544–1544. 10 indexed citations
11.
Giontella, Andrea, et al.. (2020). Genetic Parameters and Inbreeding Effect of Morphological Traits in Sardinian Anglo Arab Horse. Animals. 10(5). 791–791. 19 indexed citations
12.
Jurado, José Manuel León, et al.. (2019). Estimation of Genetic Parameters for Peak Yield, Yield and Persistency Traits in Murciano-Granadina Goats Using Multi-Traits Models. Animals. 9(7). 411–411. 3 indexed citations
13.
Pieramati, Camillo, et al.. (2019). Use of Spline function for the characterisation on peak yield, peak day and persistency in lactation curves in Murciano-Granadina goats. Italian Journal of Animal Science. 18(1). 888–897. 2 indexed citations
14.
Pieramati, Camillo, et al.. (2018). Changes in Blood Parameters in Healthy Horses and Horses With Upper and Lower Respiratory Tract Diseases Undergoing Treadmill Exercise Tests. Journal of Equine Veterinary Science. 71. 35–39. 1 indexed citations
15.
Antonini, Marco, et al.. (2017). Variability of fibre quality on Chinese Alashan Left Banner White Cashmere goat. Italian Journal of Animal Science. 17(1). 53–56. 7 indexed citations
16.
Capomaccio, Stefano, Katia Cappelli, Andrea Verini Supplizi, et al.. (2017). Oregano dietary supplementation modifies the liver transcriptome profile in broilers: RNASeq analysis. Research in Veterinary Science. 117. 85–91. 16 indexed citations
17.
Sarti, Francesca Maria, Emiliano Lasagna, Simone Ceccobelli, et al.. (2014). Influence of single nucleotide polymorphisms in the myostatin and myogenic factor 5 muscle growth-related genes on the performance traits of Marchigiana beef cattle1. Journal of Animal Science. 92(9). 3804–3810. 22 indexed citations
18.
Macciotta, N.P.P., Giustino Gaspa, Roberto Steri, et al.. (2010). Using eigenvalues as variance priors in the prediction of genomic breeding values by principal component analysis. Journal of Dairy Science. 93(6). 2765–2774. 28 indexed citations
19.
Cappelli, Katia, Michela Felicetti, Stefano Capomaccio, et al.. (2009). Exercise-induced up-regulation of MMP-1 and IL-8 genes in endurance horses. BMC Physiology. 9(1). 12–12. 13 indexed citations
20.
Pieramati, Camillo & L.D. Van Vleck. (1993). Effect of genetic groups on estimates of additive genetic variance1. Journal of Animal Science. 71(1). 66–70. 24 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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