Pierlanfranco D’Agaro

115 total papers · 1.9k total citations
63 papers, 1.1k citations indexed

About

Pierlanfranco D’Agaro is a scholar working on Infectious Diseases, Epidemiology and Oncology. According to data from OpenAlex, Pierlanfranco D’Agaro has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 26 papers in Epidemiology and 11 papers in Oncology. Recurrent topics in Pierlanfranco D’Agaro's work include Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (9 papers) and Influenza Virus Research Studies (8 papers). Pierlanfranco D’Agaro is often cited by papers focused on Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (9 papers) and Influenza Virus Research Studies (8 papers). Pierlanfranco D’Agaro collaborates with scholars based in Italy, United Kingdom and United States. Pierlanfranco D’Agaro's co-authors include Cesare Campello, Manola Comar, G. Dal Molin, Filippo Ansaldi, Francesca Demarchi, Arturo Falaschi, Mauro Giacca, C. Campello, Sérgio Crovella and Alessandro Marcello and has published in prestigious journals such as Journal of Virology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Pierlanfranco D’Agaro

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Pierlanfranco D’Agaro 476 418 233 174 142 63 1.1k
M. Martinot 355 0.7× 476 1.1× 199 0.9× 112 0.6× 55 0.4× 83 987
F. Hufert 472 1.0× 478 1.1× 93 0.4× 54 0.3× 196 1.4× 37 1.2k
David J. Riedel 575 1.2× 545 1.3× 88 0.4× 113 0.6× 100 0.7× 94 1.3k
Adriana Vince 824 1.7× 377 0.9× 209 0.9× 291 1.7× 133 0.9× 106 1.4k
Michiyo Kataoka 274 0.6× 759 1.8× 89 0.4× 172 1.0× 205 1.4× 77 1.4k
Eithne MacMahon 603 1.3× 338 0.8× 77 0.3× 75 0.4× 171 1.2× 42 1.1k
U. Krech 661 1.4× 361 0.9× 87 0.4× 45 0.3× 195 1.4× 83 1.2k
Mikio Kimura 373 0.8× 248 0.6× 349 1.5× 49 0.3× 199 1.4× 102 1.2k
Snježana Židovec Lepej 374 0.8× 384 0.9× 120 0.5× 105 0.6× 120 0.8× 100 932
Jordí Niubó 536 1.1× 446 1.1× 125 0.5× 52 0.3× 38 0.3× 69 1.2k

Countries citing papers authored by Pierlanfranco D’Agaro

Since Specialization
Citations

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

Fields of papers citing papers by Pierlanfranco D’Agaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierlanfranco D’Agaro. 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 Pierlanfranco D’Agaro. The network helps show where Pierlanfranco D’Agaro may publish in the future.

Co-authorship network of co-authors of Pierlanfranco D’Agaro

This figure shows the co-authorship network connecting the top 25 collaborators of Pierlanfranco D’Agaro. A scholar is included among the top collaborators of Pierlanfranco D’Agaro 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 Pierlanfranco D’Agaro. Pierlanfranco D’Agaro 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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2026