Silvana Briuglia

79 total papers · 1.4k total citations
52 papers, 808 citations indexed

About

Silvana Briuglia is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Silvana Briuglia has authored 52 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 19 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Silvana Briuglia's work include Genomic variations and chromosomal abnormalities (9 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Genetic Syndromes and Imprinting (6 papers). Silvana Briuglia is often cited by papers focused on Genomic variations and chromosomal abnormalities (9 papers), Genetics and Neurodevelopmental Disorders (7 papers) and Genetic Syndromes and Imprinting (6 papers). Silvana Briuglia collaborates with scholars based in Italy, United Kingdom and United States. Silvana Briuglia's co-authors include Carmelo Salpietro, Luciana Rigoli, Bruno Dallapiccola, Chiara Di Bella, Maria Merlino, Sebastiano Gangemi, Domenico Trombetta, Salvatore Leonardi, Antonella Saija and Paola Lucia Minciullo and has published in prestigious journals such as The American Journal of Human Genetics, Frontiers in Immunology and Journal of the American Academy of Dermatology.

In The Last Decade

Silvana Briuglia

49 papers receiving 785 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvana Briuglia 313 213 120 113 89 52 808
Mikael Holst 268 0.9× 137 0.6× 165 1.4× 193 1.7× 105 1.2× 43 1.0k
Stefania Pacini 214 0.7× 121 0.6× 98 0.8× 31 0.3× 41 0.5× 69 926
Katarzyna Jarząbek 323 1.0× 232 1.1× 49 0.4× 34 0.3× 65 0.7× 37 809
T Onishi 345 1.1× 122 0.6× 99 0.8× 31 0.3× 54 0.6× 51 905
Haibo Xue 175 0.6× 64 0.3× 245 2.0× 42 0.4× 73 0.8× 38 774
D.Y. Wang 168 0.5× 311 1.5× 34 0.3× 68 0.6× 33 0.4× 42 915
D Alexiou 220 0.7× 66 0.3× 91 0.8× 76 0.7× 12 0.1× 50 914
Matthew H. Law 343 1.1× 258 1.2× 75 0.6× 25 0.2× 135 1.5× 62 1.0k
Shiyuan Huang 202 0.6× 54 0.3× 242 2.0× 18 0.2× 44 0.5× 39 753
Pervin Vural 199 0.6× 73 0.3× 274 2.3× 101 0.9× 85 1.0× 72 987

Countries citing papers authored by Silvana Briuglia

Since Specialization
Citations

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

Fields of papers citing papers by Silvana Briuglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvana Briuglia

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

All Works

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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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