G. Cosenza

1.6k total citations
74 papers, 1.1k citations indexed

About

G. Cosenza is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, G. Cosenza has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Genetics, 30 papers in Agronomy and Crop Science and 28 papers in Molecular Biology. Recurrent topics in G. Cosenza's work include Animal Genetics and Reproduction (34 papers), Milk Quality and Mastitis in Dairy Cows (26 papers) and Genetic and phenotypic traits in livestock (23 papers). G. Cosenza is often cited by papers focused on Animal Genetics and Reproduction (34 papers), Milk Quality and Mastitis in Dairy Cows (26 papers) and Genetic and phenotypic traits in livestock (23 papers). G. Cosenza collaborates with scholars based in Italy, Czechia and Russia. G. Cosenza's co-authors include Alfredo Pauciullo, Luigi Ramunno, L. Ramunno, D. Di Berardino, Daniela Gallo, A. Rando, P. Masina, Paola Di Gregorio, Marco Iannaccone and Morena Pappalardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

G. Cosenza

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Cosenza Italy 19 745 555 350 298 120 74 1.1k
G.L. Lindberg United States 16 449 0.6× 416 0.7× 319 0.9× 211 0.7× 126 1.1× 25 964
H. Stålhammar Sweden 18 474 0.6× 518 0.9× 137 0.4× 306 1.0× 184 1.5× 32 866
Michele Pazzola Italy 23 852 1.1× 837 1.5× 214 0.6× 445 1.5× 377 3.1× 91 1.5k
Luigi Ramunno Italy 14 299 0.4× 238 0.4× 185 0.5× 166 0.6× 60 0.5× 27 539
R. Aleandri Italy 12 269 0.4× 265 0.5× 164 0.5× 169 0.6× 56 0.5× 20 555
B. Moioli Italy 24 1.0k 1.4× 430 0.8× 362 1.0× 142 0.5× 306 2.5× 69 1.4k
F. Barillet France 15 585 0.8× 444 0.8× 124 0.4× 62 0.2× 210 1.8× 31 858
Lúcio Flávio Macêdo Mota Brazil 16 512 0.7× 258 0.5× 93 0.3× 74 0.2× 307 2.6× 74 727
G Ricordeau France 15 522 0.7× 455 0.8× 93 0.3× 104 0.3× 157 1.3× 76 738
Rami T. Kridli Jordan 18 408 0.5× 526 0.9× 166 0.5× 38 0.1× 172 1.4× 56 970

Countries citing papers authored by G. Cosenza

Since Specialization
Citations

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

Fields of papers citing papers by G. Cosenza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cosenza

This figure shows the co-authorship network connecting the top 25 collaborators of G. Cosenza. A scholar is included among the top collaborators of G. Cosenza 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 G. Cosenza. G. Cosenza 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.
Cosenza, G., Sara Albarella, A. Iannuzzi, et al.. (2023). A New AS-PCR Method to Detect CSN201 Allele, Genotyping at Ca-Sensitive Caseins Loci and Milk Traits Association Studies in Autochthonous Lazio Goats. Animals. 13(2). 239–239. 4 indexed citations
3.
4.
Miranda, Guy, Céline Henry, Zuzana Krupova, et al.. (2022). Top-Down proteomics based on LC-MS combined with cDNA sequencing to characterize multiple proteoforms of Amiata donkey milk proteins. Food Research International. 160. 111611–111611. 9 indexed citations
5.
Cosenza, G., et al.. (2021). Complete CSN1S2 Characterization, Novel Allele Identification and Association With Milk Fatty Acid Composition in River Buffalo. Frontiers in Genetics. 11. 622494–622494. 7 indexed citations
6.
Cosenza, G., Giustino Gaspa, Marco Iannaccone, et al.. (2020). Sequencing of lipoprotein lipase gene in the Mediterranean river buffalo identified novel variants affecting gene expression. Journal of Dairy Science. 103(7). 6374–6382. 10 indexed citations
7.
Cosenza, G., Marco Iannaccone, N.P.P. Macciotta, et al.. (2018). The single nucleotide polymorphism g.133A>C in the stearoyl CoA desaturase gene (SCD) promoter affects gene expression and quali-quantitative properties of river buffalo milk. Journal of Dairy Science. 102(1). 442–451. 33 indexed citations
8.
Cosenza, G., N.P.P. Macciotta, Anna Nudda, et al.. (2017). A novel polymorphism in the oxytocin receptor encoding gene (OXTR) affects milk fatty acid composition in Italian Mediterranean river buffalo. Journal of Dairy Research. 84(2). 170–180. 8 indexed citations
9.
Cosenza, G., et al.. (2017). Transcript analysis at DGAT1 reveals different mRNA profiles in river buffaloes with extreme phenotypes for milk fat. Journal of Dairy Science. 100(10). 8265–8276. 12 indexed citations
10.
11.
Pauciullo, Alfredo, A. Perucatti, G. Cosenza, et al.. (2014). Sequential Cross-Species Chromosome Painting among River Buffalo, Cattle, Sheep and Goat: A Useful Tool for Chromosome Abnormalities Diagnosis within the Family Bovidae. PLoS ONE. 9(10). e110297–e110297. 20 indexed citations
12.
Pauciullo, Alfredo, G. Cosenza, Roberto Steri, et al.. (2012). An association analysis between OXT genotype and milk yield and flow in Italian Mediterranean river buffalo. Journal of Dairy Research. 79(2). 150–156. 28 indexed citations
13.
Pauciullo, Alfredo, G. Cosenza, Roberto Steri, et al.. (2012). A single nucleotide polymorphism in the promoter region of river buffalo stearoyl CoA desaturase gene (SCD) is associated with milk yield. Journal of Dairy Research. 79(4). 429–435. 21 indexed citations
14.
Ramunno, L., et al.. (2011). A preliminary analysis of mRNA transcribed from the N allele at the CSN1S1 locus of the goat. SHILAP Revista de lepidopterología.
15.
Chianese, Lina, Pasquale Ferranti, Rosalba Mauriello, et al.. (2010). Proteomic characterization of donkey milk “caseome”. Journal of Chromatography A. 1217(29). 4834–4840. 56 indexed citations
16.
Pauciullo, Alfredo, et al.. (2007). Influenza del polimorfismo genetico delle caseine calcio-sensibili su caratteristiche strutturali, nutrizionali, attitudine casearia e proprietà ipoallergeniche del latte di capra. Institutional Research Information System University of Turin (University of Turin). 58(4). 257–271. 5 indexed citations
17.
Cosenza, G., Alfredo Pauciullo, Andrea Mancusi, et al.. (2007). An SNP in the goat CSN2 promoter region is associated with the absence of β‐casein in milk. Animal Genetics. 38(6). 655–658. 26 indexed citations
18.
Berardino, D. Di, Daniel Nicodemo, Giuseppe Coppola, et al.. (2006). Cytogenetic characterization of alpaca (<i>Lama pacos</i>, fam. Camelidae) prometaphase chromosomes. Cytogenetic and Genome Research. 115(2). 138–144. 14 indexed citations
19.
Cosenza, G., Alfredo Pauciullo, Daniela Gallo, D. Di Berardino, & Luigi Ramunno. (2005). A SspI PCR-RFLP detecting a silent allele at the goat CSN2 locus. Journal of Dairy Research. 72(4). 456–459. 21 indexed citations
20.
Ramunno, L., Elena Longobardi, G. Cosenza, et al.. (1999). A PstI PCR-RFLP at the goat CSN1S2 gene. Animal Genetics. 30(3). 242–242. 3 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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