Paolo Pasquini

74 total papers · 5.2k total citations
60 papers, 3.9k citations indexed

About

Paolo Pasquini is a scholar working on Dermatology, Clinical Psychology and Epidemiology. According to data from OpenAlex, Paolo Pasquini has authored 60 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Dermatology, 17 papers in Clinical Psychology and 15 papers in Epidemiology. Recurrent topics in Paolo Pasquini's work include Body Image and Dysmorphia Studies (12 papers), Dermatology and Skin Diseases (10 papers) and Cutaneous Melanoma Detection and Management (10 papers). Paolo Pasquini is often cited by papers focused on Body Image and Dysmorphia Studies (12 papers), Dermatology and Skin Diseases (10 papers) and Cutaneous Melanoma Detection and Management (10 papers). Paolo Pasquini collaborates with scholars based in Italy, United States and France. Paolo Pasquini's co-authors include Francesco Sera, Maria Sofia Cattaruzza, Peter Boyle, Sara Gandini, Damiano Abeni, Angelo Picardi, Orietta Picconi, Eva Mazzotti, Cinzia Masini and Roberto Zanetti and has published in prestigious journals such as Ophthalmology, Journal of Affective Disorders and Psychosomatic Medicine.

In The Last Decade

Paolo Pasquini

60 papers receiving 3.7k citations

Hit Papers

Meta-analysis of risk fac... 2004 2026 2011 2018 2004 2004 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Paolo Pasquini 2.1k 1.5k 687 687 585 60 3.9k
Maria Sofia Cattaruzza 1.8k 0.9× 2.1k 1.4× 1.1k 1.6× 385 0.6× 732 1.3× 115 5.0k
Jiali Han 2.0k 1.0× 1.4k 1.0× 1.5k 2.2× 1.1k 1.5× 522 0.9× 132 5.6k
Anne Kricker 2.7k 1.3× 2.6k 1.8× 1.5k 2.2× 488 0.7× 667 1.1× 103 6.0k
Francesca Sampogna 2.8k 1.4× 348 0.2× 818 1.2× 2.0k 3.0× 346 0.6× 156 5.3k
Peter A. Kanetsky 939 0.5× 1.7k 1.1× 819 1.2× 486 0.7× 775 1.3× 115 5.1k
Edward D. Gorham 573 0.3× 1.0k 0.7× 443 0.6× 242 0.4× 137 0.2× 80 5.8k
Anne Ε. Cust 882 0.4× 2.2k 1.5× 468 0.7× 222 0.3× 287 0.5× 159 3.7k
Gerald G. Krueger 2.3k 1.1× 386 0.3× 694 1.0× 3.5k 5.1× 392 0.7× 113 6.0k
Leslie K. Dennis 679 0.3× 1.2k 0.8× 698 1.0× 142 0.2× 190 0.3× 81 3.5k
Silvia Moretti 608 0.3× 437 0.3× 209 0.3× 614 0.9× 834 1.4× 109 2.7k

Countries citing papers authored by Paolo Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Pasquini

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