Patrizia Pasculli

27 papers and 246 indexed citations i.

About

Patrizia Pasculli is a scholar working on Infectious Diseases, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, Patrizia Pasculli has authored 27 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 6 papers in Neurology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Patrizia Pasculli’s work include COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Multiple Sclerosis Research Studies (6 papers). Patrizia Pasculli is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Multiple Sclerosis Research Studies (6 papers). Patrizia Pasculli collaborates with scholars based in Italy, United States and Denmark. Patrizia Pasculli's co-authors include Maria Rosa Ciardi, Claudio Maria Mastroianni, Maria Antonella Zingaropoli, Valentina Perri, Miriam Lichtner, Parni Nijhawan, Marco Iannetta, Cosmo Del Borgo, Guido Siccardi and Camilla Ajassa and has published in prestigious journals such as PLoS ONE, Pain and The American Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Patrizia Pasculli i

Fields of papers citing papers by Patrizia Pasculli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patrizia Pasculli

Since Specialization
Citations

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

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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2025