F. Panzitta

2.2k total citations
2 papers, 6 citations indexed

About

F. Panzitta is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, F. Panzitta has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in F. Panzitta's work include Genetic and phenotypic traits in livestock (2 papers), Animal Genetics and Reproduction (1 paper) and Genomics and Phylogenetic Studies (1 paper). F. Panzitta is often cited by papers focused on Genetic and phenotypic traits in livestock (2 papers), Animal Genetics and Reproduction (1 paper) and Genomics and Phylogenetic Studies (1 paper). F. Panzitta collaborates with scholars based in Italy. F. Panzitta's co-authors include Alessandra Stella, P. Boettcher, G. Gandini, J. L. Williams, Luciano Milanesi, Ivan Merelli, Andrea Caprera and Barbara Lazzari and has published in prestigious journals such as Journal of Heredity and Animal Genetics.

In The Last Decade

F. Panzitta

2 papers receiving 6 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Panzitta Italy 2 6 1 1 1 2 6
Lorena Forcelledo Espina Spain 3 5 0.8× 4 10
Iris M. Vargas Jentzsch United Kingdom 1 5 0.8× 1 1.0× 2 8
R Pujol Pina Portugal 2 7 1.2× 2 9
L. Zatkalíková Portugal 2 7 1.2× 5 9
G. H. Parker 2 4 0.7× 4 5
Daniela Avdjieva Bulgaria 2 4 0.7× 1 1.0× 3 8
Kristine Bonnevie Norway 2 4 0.7× 2 6
Neil R. Robertson United Kingdom 2 4 0.7× 4 10
T Hiwot United Kingdom 2 4 0.7× 3 7
Sergei Litvinov Russia 2 4 0.7× 1 1.0× 4 4

Countries citing papers authored by F. Panzitta

Since Specialization
Citations

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

Fields of papers citing papers by F. Panzitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Panzitta

This figure shows the co-authorship network connecting the top 25 collaborators of F. Panzitta. A scholar is included among the top collaborators of F. Panzitta 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 F. Panzitta. F. Panzitta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Panzitta, F., Andrea Caprera, Ivan Merelli, et al.. (2008). Mining the Bovine Genome with the “Bovine SNP Retriever”. Journal of Heredity. 99(6). 696–698. 1 indexed citations
2.
Stella, Alessandra, F. Panzitta, G. Gandini, & P. Boettcher. (2007). Use of linked loci as individuals or haplotypes for marker‐assisted breed assignment. Animal Genetics. 39(1). 8–14. 5 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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