M.C. Cozzi

661 total citations
39 papers, 461 citations indexed

About

M.C. Cozzi is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, M.C. Cozzi has authored 39 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 15 papers in Animal Science and Zoology and 11 papers in Molecular Biology. Recurrent topics in M.C. Cozzi's work include Genetic and phenotypic traits in livestock (16 papers), Animal Nutrition and Physiology (11 papers) and Genetic diversity and population structure (9 papers). M.C. Cozzi is often cited by papers focused on Genetic and phenotypic traits in livestock (16 papers), Animal Nutrition and Physiology (11 papers) and Genetic diversity and population structure (9 papers). M.C. Cozzi collaborates with scholars based in Italy, Mexico and United States. M.C. Cozzi's co-authors include Maria Giuseppina Strillacci, A. Bagnato, S.P. Marelli, Francesca Maria Sarti, Emiliano Lasagna, Genciana Terova, M. Longeri, Simona Rimoldi, Silvia Cerolini and Giovanni Bernardini and has published in prestigious journals such as PLoS ONE, Poultry Science and Journal of Heredity.

In The Last Decade

M.C. Cozzi

36 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Cozzi Italy 14 273 188 110 71 42 39 461
Minos Esperândio Carvalho Brazil 9 222 0.8× 188 1.0× 87 0.8× 116 1.6× 54 1.3× 21 449
S. Alijani Iran 13 284 1.0× 246 1.3× 62 0.6× 96 1.4× 152 3.6× 80 519
Aixin Ni China 14 139 0.5× 212 1.1× 94 0.9× 56 0.8× 18 0.4× 47 426
Hyun‐Tae Lim South Korea 15 364 1.3× 302 1.6× 164 1.5× 29 0.4× 42 1.0× 62 643
Woncheoul Park South Korea 14 203 0.7× 125 0.7× 91 0.8× 34 0.5× 51 1.2× 42 380
Vicente Eliezer Vega Murillo Mexico 11 209 0.8× 142 0.8× 31 0.3× 77 1.1× 89 2.1× 56 350
Rasoul Vaez Torshizi Iran 14 439 1.6× 232 1.2× 86 0.8× 75 1.1× 151 3.6× 79 603
Wenqiong Chai China 14 143 0.5× 204 1.1× 128 1.2× 31 0.4× 77 1.8× 32 433
Mohamed S. Hassanane Egypt 14 205 0.8× 42 0.2× 98 0.9× 87 1.2× 40 1.0× 39 433
Mervi Honkatukia Finland 12 350 1.3× 237 1.3× 103 0.9× 60 0.8× 57 1.4× 27 543

Countries citing papers authored by M.C. Cozzi

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Cozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Cozzi. 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 M.C. Cozzi. The network helps show where M.C. Cozzi may publish in the future.

Co-authorship network of co-authors of M.C. Cozzi

This figure shows the co-authorship network connecting the top 25 collaborators of M.C. Cozzi. A scholar is included among the top collaborators of M.C. Cozzi 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 M.C. Cozzi. M.C. Cozzi 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.
2.
Stucchi, Luca, Chiara Bazzocchi, Anna Lange-Consiglio, et al.. (2024). Cytokine mRNA expression in the bronchoalveolar lavage cells from horses affected by different equine asthma subtypes. Journal of Equine Veterinary Science. 135. 105033–105033.
3.
Cozzi, M.C., et al.. (2022). Genetic Variability Trend of Lusitano Horse Breed Reared in Italy. Animals. 12(1). 98–98. 3 indexed citations
4.
Longeri, M., Valeria Russo, Maria Giuseppina Strillacci, et al.. (2021). Association Between BoLA-DRB3.2 Polymorphism and Bovine Papillomavirus Infection for Bladder Tumor Risk in Podolica Cattle. Frontiers in Veterinary Science. 8. 630089–630089. 10 indexed citations
5.
Cozzi, M.C., et al.. (2019). Copy number variants reveal genomic diversity in a Mexican Creole cattle population. Livestock Science. 229. 194–202. 7 indexed citations
6.
Strillacci, Maria Giuseppina, et al.. (2018). A copy number variant scan in the autochthonous Valdostana Red Pied cattle breed and comparison with specialized dairy populations. PLoS ONE. 13(9). e0204669–e0204669. 21 indexed citations
7.
Cozzi, M.C., et al.. (2018). Genetic variability of Akhal-Teke horses bred in Italy. PeerJ. 6. e4889–e4889. 8 indexed citations
8.
Cozzi, M.C., Sergio Iván Román-Ponce, F. J. Lopez, et al.. (2017). Genomic variability in Mexican chicken population using copy number variants. BMC Genetics. 18(1). 61–61. 28 indexed citations
9.
Strillacci, Maria Giuseppina, Vicente Eliezer Vega Murillo, Sergio Iván Román-Ponce, et al.. (2017). Looking at genetic structure and selection signatures of the Mexican chicken population using single nucleotide polymorphism markers. Poultry Science. 97(3). 791–802. 15 indexed citations
10.
Strillacci, Maria Giuseppina, M.C. Cozzi, F. Schiavini, et al.. (2016). Genomic and genetic variability of six chicken populations using single nucleotide polymorphism and copy number variants as markers. animal. 11(5). 737–745. 35 indexed citations
11.
Samoré, A.B., Maria Giuseppina Strillacci, F. Schiavini, et al.. (2015). Variation of milk components in the Italian Brown cattle. Journal of Dairy Research. 82(4). 485–490. 3 indexed citations
12.
Rimoldi, Simona, Emiliano Lasagna, Francesca Maria Sarti, et al.. (2015). Expression profile of six stress-related genes and productive performances of fast and slow growing broiler strains reared under heat stress conditions. Meta Gene. 6. 17–25. 79 indexed citations
13.
Lasagna, Emiliano, Simona Rimoldi, Simone Ceccobelli, et al.. (2015). The genetic of welfare : gene expression and heat stress in chicken. IrInSubria (University of Insubria). 14. 7–7. 3 indexed citations
14.
Strillacci, Maria Giuseppina, F. Schiavini, A.B. Samoré, et al.. (2014). Genome-wide association study for somatic cell score in Valdostana Red Pied cattle breed using pooled DNA. BMC Genetics. 15(1). 106–106. 37 indexed citations
15.
Colombo, Elena, Maria Giuseppina Strillacci, M.C. Cozzi, et al.. (2014). Feasibility Study on the FAO Chicken Microsatellite Panel to Assess Genetic Variability in the Turkey (Meleagris Gallopavo). Italian Journal of Animal Science. 13(4). 3334–3334. 4 indexed citations
16.
Strillacci, Maria Giuseppina, F. Canavesi, Yael Ungar, et al.. (2014). Quantitative trait loci mapping for conjugated linoleic acid, vaccenic acid and ∆9-desaturase in Italian Brown Swiss dairy cattle using selective DNA pooling. Animal Genetics. 45(4). 485–499. 19 indexed citations
17.
Vacca, Giuseppe Massimo, Cinzia Daga, Michele Pazzola, et al.. (2010). D‐loop sequence mitochondrial DNA variability of Sarda goat and other goat breeds and populations reared in the Mediterranean area. Journal of Animal Breeding and Genetics. 127(5). 352–360. 25 indexed citations
18.
Marelli, S.P., Genciana Terova, M.C. Cozzi, et al.. (2010). Gene Expression of Hepatic Glucocorticoid Receptor NR3C1 and Correlation with Plasmatic Corticosterone in Italian Chickens. Animal Biotechnology. 21(2). 140–148. 20 indexed citations
19.
Gandolfi, Barbara, P. Parma, M. Polli, et al.. (2007). Characterization of Bovine TGM1 and Exclusion as Candidate Gene for Ichthyosis in Chianina. Journal of Heredity. 99(1). 81–83. 3 indexed citations
20.
Cantoni, C., S. Stella, M.C. Cozzi, Lucilla Iacumin, & Giuseppe Comi. (2003). Blue colour of Mozzarella cheese. 2 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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