Pasqualina De Leo

44 total papers · 447 total citations
23 papers, 245 citations indexed

About

Pasqualina De Leo is a scholar working on Epidemiology, Hepatology and Immunology. According to data from OpenAlex, Pasqualina De Leo has authored 23 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Hepatology and 8 papers in Immunology. Recurrent topics in Pasqualina De Leo's work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Pasqualina De Leo is often cited by papers focused on Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (7 papers) and Liver Disease Diagnosis and Treatment (5 papers). Pasqualina De Leo collaborates with scholars based in Italy, Switzerland and United States. Pasqualina De Leo's co-authors include Alessandro Grasso, Marco Anselmo, Federica Malfatti, Federica Toscanini, H. Martines, Paolo Fabris, Valerio Del Bono, Andrea Canessa, A Terragna and A. Picciotto and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Pasqualina De Leo

22 papers receiving 242 citations

Author Peers

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

Author Last Decade Papers Cites
Pasqualina De Leo 151 116 46 29 21 23 245
Maria Lúcia Alves Pedroso 173 1.1× 134 1.2× 45 1.0× 36 1.2× 7 0.3× 21 292
Ana M. Contreras 165 1.1× 175 1.5× 13 0.3× 17 0.6× 15 0.7× 29 267
Reinhild Strauß 171 1.1× 154 1.3× 12 0.3× 25 0.9× 7 0.3× 21 301
Dina Elhammady 125 0.8× 112 1.0× 44 1.0× 28 1.0× 17 0.8× 24 219
R Bacardí 75 0.5× 50 0.4× 21 0.5× 39 1.3× 18 0.9× 40 220
Bolanle O. P. Musa 135 0.9× 74 0.6× 13 0.3× 53 1.8× 47 2.2× 23 264
Nelson Abrahim Fraiji 109 0.7× 96 0.8× 23 0.5× 52 1.8× 5 0.2× 31 306
Massimo Giola 87 0.6× 43 0.4× 77 1.7× 75 2.6× 35 1.7× 15 293
Ellen G. J. Hulskotte 217 1.4× 129 1.1× 28 0.6× 100 3.4× 13 0.6× 12 308
Francisco Socas Gavilán 204 1.4× 236 2.0× 8 0.2× 49 1.7× 27 1.3× 26 325

Countries citing papers authored by Pasqualina De Leo

Since Specialization
Citations

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

Fields of papers citing papers by Pasqualina De Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pasqualina De Leo. 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 Pasqualina De Leo. The network helps show where Pasqualina De Leo may publish in the future.

Co-authorship network of co-authors of Pasqualina De Leo

This figure shows the co-authorship network connecting the top 25 collaborators of Pasqualina De Leo. A scholar is included among the top collaborators of Pasqualina De Leo 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 Pasqualina De Leo. Pasqualina De Leo 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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