Giuseppina Schiavo

2.4k total citations
92 papers, 1.3k citations indexed

About

Giuseppina Schiavo is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Giuseppina Schiavo has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Genetics, 28 papers in Molecular Biology and 27 papers in Animal Science and Zoology. Recurrent topics in Giuseppina Schiavo's work include Genetic and phenotypic traits in livestock (52 papers), Genetic Mapping and Diversity in Plants and Animals (39 papers) and Meat and Animal Product Quality (13 papers). Giuseppina Schiavo is often cited by papers focused on Genetic and phenotypic traits in livestock (52 papers), Genetic Mapping and Diversity in Plants and Animals (39 papers) and Meat and Animal Product Quality (13 papers). Giuseppina Schiavo collaborates with scholars based in Italy, Denmark and United States. Giuseppina Schiavo's co-authors include Luca Fontanesi, Francesca Bertolini, Samuele Bovo, Anisa Ribani, Giuliano Galimberti, Valerio Joe Utzeri, Stefania Dall’Olio, Daniela Giovanna Calò, Vincenzo Russo and L. Buttazzoni and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Giuseppina Schiavo

86 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppina Schiavo Italy 20 852 364 353 169 161 92 1.3k
Zhuocheng Hou China 21 573 0.7× 520 1.4× 516 1.5× 172 1.0× 91 0.6× 81 1.5k
Sonika Ahlawat India 23 1.1k 1.3× 371 1.0× 241 0.7× 211 1.2× 71 0.4× 166 1.5k
Alexandre Rodrigues Caetano Brazil 22 883 1.0× 427 1.2× 145 0.4× 111 0.7× 45 0.3× 101 1.4k
Yongwang Miao China 12 392 0.5× 263 0.7× 343 1.0× 118 0.7× 109 0.7× 50 818
Kari Elo Finland 19 1.1k 1.3× 224 0.6× 399 1.1× 111 0.7× 86 0.5× 44 1.5k
Marco Tolone Italy 19 792 0.9× 201 0.6× 169 0.5× 167 1.0× 95 0.6× 71 1.2k
Ron Okimoto United States 13 637 0.7× 353 1.0× 427 1.2× 132 0.8× 41 0.3× 20 1.2k
Rowan J. Bunch Australia 25 1.2k 1.4× 326 0.9× 409 1.2× 300 1.8× 53 0.3× 44 1.9k
Addie Vereijken Netherlands 26 1.6k 1.8× 415 1.1× 1.3k 3.7× 120 0.7× 115 0.7× 58 2.5k
Emiliano Lasagna Italy 21 736 0.9× 300 0.8× 582 1.6× 90 0.5× 99 0.6× 93 1.3k

Countries citing papers authored by Giuseppina Schiavo

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppina Schiavo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppina Schiavo

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppina Schiavo. A scholar is included among the top collaborators of Giuseppina Schiavo 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 Giuseppina Schiavo. Giuseppina Schiavo 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.
Bovo, Samuele, Anisa Ribani, Flaminia Fanelli, et al.. (2025). Merging metabolomics and genomics provides a catalog of genetic factors that influence molecular phenotypes in pigs linking relevant metabolic pathways. Genetics Selection Evolution. 57(1). 11–11. 2 indexed citations
2.
Bovo, Samuele, Giuseppina Schiavo, Flaminia Fanelli, et al.. (2025). Comparative analysis of targeted metabolomic profiles reveals plasma metabolite differences across three Italian heavy pig breeds. Scientific Reports. 15(1). 39296–39296.
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Tiezzi, Francesco, Stefano Biffani, F. Goyache, et al.. (2025). Assessment of Heterozygosity in European Local and Cosmopolitan Pig Populations. Agriculture. 15(7). 761–761. 1 indexed citations
6.
Dall’Olio, Stefania, Giuseppina Schiavo, Samuele Bovo, et al.. (2024). Variability in major milk protein genes in two autochthonous cattle breeds mainly reared in the Parmigiano-Reggiano cheese production area: Reggiana and Modenese. Livestock Science. 289. 105574–105574. 1 indexed citations
7.
Bovo, Samuele, et al.. (2024). A comprehensive atlas of nuclear sequences of mitochondrial origin (NUMT) inserted into the pig genome. Genetics Selection Evolution. 56(1). 64–64. 1 indexed citations
8.
Bovo, Samuele, Giuseppina Schiavo, G. Galimberti, et al.. (2024). High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds. animal. 19(1). 101393–101393. 2 indexed citations
9.
Palombo, Valentino, Giuseppina Schiavo, Siria Tavaniello, et al.. (2024). Genetic characterisation of the Nero d’Aspromonte pig population in Southern Italy. Italian Journal of Animal Science. 23(1). 1358–1372.
10.
Schiavo, Giuseppina, et al.. (2023). Uncovering genetic parameters and environmental influences on fertility, milk production, and quality in autochthonous Reggiana cattle. Journal of Dairy Science. 107(2). 956–977. 4 indexed citations
11.
Bovo, Samuele, et al.. (2023). Population genomic structures and signatures of selection define the genetic uniqueness of several fancy and meat rabbit breeds. Journal of Animal Breeding and Genetics. 140(6). 663–678. 3 indexed citations
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Bovo, Samuele, Giuseppina Schiavo, & Luca Fontanesi. (2022). One Health and Cattle Genetic Resources: Mining More than 500 Cattle Genomes to Identify Variants in Candidate Genes Potentially Affecting Coronavirus Infections. Animals. 12(7). 838–838. 1 indexed citations
16.
Bovo, Samuele, Giuseppina Schiavo, Valerio Joe Utzeri, et al.. (2021). A genome‐wide association study for the number of teats in European rabbits (Oryctolagus cuniculus) identifies several candidate genes affecting this trait. Animal Genetics. 52(2). 237–243. 11 indexed citations
17.
Bertolini, Francesca, Giuseppina Schiavo, Samuele Bovo, et al.. (2020). Comparative selection signature analyses identify genomic footprints in Reggiana cattle, the traditional breed of the Parmigiano-Reggiano cheese production system. animal. 14(5). 921–932. 14 indexed citations
18.
Schiavo, Giuseppina, Orsolya Ivett Hoffmann, Anisa Ribani, et al.. (2017). A genomic landscape of mitochondrial DNA insertions in the pig nuclear genome provides evolutionary signatures of interspecies admixture. DNA Research. 24(5). 487–498. 21 indexed citations
19.
Fontanesi, Luca, Giuseppina Schiavo, E. Scotti, et al.. (2015). A retrospective analysis of allele frequency changes of major genes during 20 years of selection in the Italian Large White pig breed. Journal of Animal Breeding and Genetics. 132(3). 239–246. 20 indexed citations
20.
Fontanesi, Luca, Giuseppina Schiavo, Giuliano Galimberti, et al.. (2012). A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes. BMC Genomics. 13(1). 583–583. 84 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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