Antonella Pasquato

55 total papers · 1.3k total citations
44 papers, 980 citations indexed

About

Antonella Pasquato is a scholar working on Infectious Diseases, Molecular Biology and Cell Biology. According to data from OpenAlex, Antonella Pasquato has authored 44 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 13 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Antonella Pasquato's work include Viral Infections and Outbreaks Research (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Antonella Pasquato is often cited by papers focused on Viral Infections and Outbreaks Research (17 papers), Viral gastroenteritis research and epidemiology (13 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Antonella Pasquato collaborates with scholars based in Switzerland, Italy and Canada. Antonella Pasquato's co-authors include Stefan Kunz, Nabil G. Seidah, Dominique J. Burri, Monica Dettin, Juan Carlos de la Torre, Carlo Di Bello, Giulia Pasqual, Marie‐Claude Asselin, Rachid Essalmani and Josée Hamelin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Antonella Pasquato

44 papers receiving 965 citations

Author Peers

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

Author Last Decade Papers Cites
Antonella Pasquato 451 265 151 139 129 44 980
Sabrina Marion 229 0.5× 300 1.1× 142 0.9× 276 2.0× 120 0.9× 29 931
Timo Hautala 283 0.6× 420 1.6× 137 0.9× 98 0.7× 59 0.5× 51 1.1k
David H. Holman 408 0.9× 501 1.9× 204 1.4× 124 0.9× 61 0.5× 21 1.0k
Takashi Oono 229 0.5× 330 1.2× 159 1.1× 99 0.7× 67 0.5× 60 1.2k
Patricia J. Simpson‐Haidaris 179 0.4× 291 1.1× 270 1.8× 100 0.7× 100 0.8× 38 1.2k
Sungjin Ko 395 0.9× 271 1.0× 141 0.9× 74 0.5× 307 2.4× 47 1.1k
Qingjun Ma 175 0.4× 310 1.2× 117 0.8× 64 0.5× 124 1.0× 42 811
Takafumi Fukui 230 0.5× 296 1.1× 467 3.1× 68 0.5× 91 0.7× 50 1.1k
Pirjo Spuul 331 0.7× 241 0.9× 99 0.7× 134 1.0× 43 0.3× 24 840
Stefanie Müller 241 0.5× 315 1.2× 127 0.8× 36 0.3× 217 1.7× 17 1.1k

Countries citing papers authored by Antonella Pasquato

Since Specialization
Citations

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

Fields of papers citing papers by Antonella Pasquato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonella Pasquato

This figure shows the co-authorship network connecting the top 25 collaborators of Antonella Pasquato. A scholar is included among the top collaborators of Antonella Pasquato 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 Antonella Pasquato. Antonella Pasquato 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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