Filippo Cendron

665 total citations
29 papers, 391 citations indexed

About

Filippo Cendron is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology. According to data from OpenAlex, Filippo Cendron has authored 29 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Animal Science and Zoology, 15 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Filippo Cendron's work include Animal Nutrition and Physiology (14 papers), Genetic and phenotypic traits in livestock (13 papers) and Livestock and Poultry Management (10 papers). Filippo Cendron is often cited by papers focused on Animal Nutrition and Physiology (14 papers), Genetic and phenotypic traits in livestock (13 papers) and Livestock and Poultry Management (10 papers). Filippo Cendron collaborates with scholars based in Italy, Tunisia and United Kingdom. Filippo Cendron's co-authors include Martino Cassandro, Emiliano Lasagna, Francesco Perini, Mauro Penasa, Cesare Castellini, Salvatore Mastrangelo, Massimo De Marchi, Giovanni Niero, Nicolaia Iaffaldano and Arianna Buccioni and has published in prestigious journals such as Journal of Dairy Science, BMC Genomics and Poultry Science.

In The Last Decade

Filippo Cendron

27 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Filippo Cendron Italy 12 205 179 102 67 40 29 391
Mahesh Shivanand Dige India 10 122 0.6× 175 1.0× 64 0.6× 122 1.8× 13 0.3× 49 310
Taki Karslı Türkiye 13 215 1.0× 247 1.4× 58 0.6× 38 0.6× 17 0.4× 54 430
Annett Weigend Germany 12 331 1.6× 331 1.8× 92 0.9× 44 0.7× 45 1.1× 24 552
Patrick Monametsi Kgwatalala Botswana 11 138 0.7× 249 1.4× 76 0.7× 133 2.0× 17 0.4× 31 440
R. K. Vijh India 14 124 0.6× 382 2.1× 72 0.7× 100 1.5× 57 1.4× 65 487
Onur Yılmaz Türkiye 14 177 0.9× 428 2.4× 66 0.6× 122 1.8× 18 0.5× 75 570
Babatunde Moses Ilori Nigeria 9 162 0.8× 161 0.9× 27 0.3× 45 0.7× 20 0.5× 38 308
Murat Soner Balcıoğlu Türkiye 12 213 1.0× 206 1.2× 47 0.5× 40 0.6× 12 0.3× 43 369
Radovan Kasarda Slovakia 10 181 0.9× 514 2.9× 62 0.6× 130 1.9× 28 0.7× 123 613
Thanathip Suwanasopee Thailand 12 151 0.7× 283 1.6× 37 0.4× 143 2.1× 16 0.4× 56 478

Countries citing papers authored by Filippo Cendron

Since Specialization
Citations

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

Fields of papers citing papers by Filippo Cendron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filippo Cendron

This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Cendron. A scholar is included among the top collaborators of Filippo Cendron 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 Filippo Cendron. Filippo Cendron 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.
Perini, Francesco, Filippo Cendron, Umberto Rosani, et al.. (2025). Genetic characterisation of Germanata Veneta and Mignon local duck breeds ( Anas platyrhynchos ) using whole-genome sequencing. Italian Journal of Animal Science. 24(1). 1621–1631.
2.
Cendron, Filippo, Umberto Rosani, Marco Franzoi, et al.. (2024). Analysis of miRNAs in milk of four livestock species. BMC Genomics. 25(1). 859–859. 6 indexed citations
3.
Costa, Angela, Mauro Penasa, Filippo Cendron, et al.. (2024). Presence of pathogen DNA in milk harvested from quarters is associated to changes in cows’ milk yield and composition. BMC Veterinary Research. 20(1). 249–249.
4.
Cendron, Filippo, Martino Cassandro, & Mauro Penasa. (2024). Genome-wide investigation to assess copy number variants in the Italian local chicken population. Journal of Animal Science and Biotechnology. 15(1). 2–2. 1 indexed citations
5.
Perini, Francesco, Filippo Cendron, Emiliano Lasagna, Martino Cassandro, & Mauro Penasa. (2024). Genomic insights into shank and eggshell color in Italian local chickens. Poultry Science. 103(6). 103677–103677. 8 indexed citations
6.
Mastrangelo, Salvatore, et al.. (2024). Genome-wide association study for morphological and hunting-behavior traits in Braque Français Type Pyrénées dogs: A preliminary study. The Veterinary Journal. 306. 106189–106189. 3 indexed citations
7.
Mastrangelo, Salvatore, Slim Ben Jemaa, Francesco Perini, et al.. (2023). Genome-wide mapping of signatures of selection using a high-density array identified candidate genes for growth traits and local adaptation in chickens. Genetics Selection Evolution. 55(1). 20–20. 15 indexed citations
8.
Perini, Francesco, Filippo Cendron, Zhou Wu, et al.. (2023). Genomics of Dwarfism in Italian Local Chicken Breeds. Genes. 14(3). 633–633. 5 indexed citations
9.
Cendron, Filippo, et al.. (2023). Pathogen Detection via Quantitative PCR in Milk of Healthy Cows Collected Using Different Sampling Protocols. Pathogens. 12(7). 935–935. 7 indexed citations
10.
11.
12.
Rizzi, C., Filippo Cendron, Mauro Penasa, & Martino Cassandro. (2022). Egg Quality of Italian Local Chicken Breeds: I. Yield Performance and Physical Characteristics. Animals. 13(1). 148–148. 6 indexed citations
13.
Franzoi, Marco, et al.. (2022). Characterization of the genetic polymorphism linked to the β-casein A1/A2 alleles using different molecular and biochemical methods. Journal of Dairy Science. 105(11). 8946–8955. 19 indexed citations
14.
Castillo, A., Marta Gariglio, Dominga Soglia, et al.. (2021). Overview of Native Chicken Breeds in Italy: Conservation Status and Rearing Systems in Use. Animals. 11(2). 490–490. 29 indexed citations
15.
Gariglio, Marta, A. Castillo, Dominga Soglia, et al.. (2021). Overview of Native Chicken Breeds in Italy: Small Scale Production and Marketing. Animals. 11(3). 629–629. 31 indexed citations
16.
Soglia, Dominga, Stefano Sartore, Emiliano Lasagna, et al.. (2021). Genetic Diversity of 17 Autochthonous Italian Chicken Breeds and Their Extinction Risk Status. Frontiers in Genetics. 12. 715656–715656. 16 indexed citations
17.
Niero, Giovanni, Filippo Cendron, Mauro Penasa, et al.. (2020). Repeatability and Reproducibility of Measures of Bovine Methane Emissions Recorded using a Laser Detector. Animals. 10(4). 606–606. 11 indexed citations
18.
Cendron, Filippo, Salvatore Mastrangelo, Marco Tolone, et al.. (2020). Genome-wide analysis reveals the patterns of genetic diversity and population structure of 8 Italian local chicken breeds. Poultry Science. 100(2). 441–451. 25 indexed citations
19.
Senczuk, Gabriele, Salvatore Mastrangelo, Elena Ciani, et al.. (2020). The genetic heritage of Alpine local cattle breeds using genomic SNP data. Genetics Selection Evolution. 52(1). 40–40. 40 indexed citations
20.
Bee, Leonardo, Alessia Nasca, Filippo Cendron, et al.. (2015). A nonsense mutation of human XRCC 4 is associated with adult‐onset progressive encephalocardiomyopathy. EMBO Molecular Medicine. 7(7). 918–929. 19 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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2026