U Picillo

18 papers and 533 indexed citations i.

About

U Picillo is a scholar working on Rheumatology, Neurology and Pathology and Forensic Medicine. According to data from OpenAlex, U Picillo has authored 18 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 5 papers in Neurology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in U Picillo’s work include Systemic Lupus Erythematosus Research (7 papers), Systemic Sclerosis and Related Diseases (5 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). U Picillo is often cited by papers focused on Systemic Lupus Erythematosus Research (7 papers), Systemic Sclerosis and Related Diseases (5 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). U Picillo collaborates with scholars based in Italy, United States and Czechia. U Picillo's co-authors include S. Migliaresi, Gabriele Valentini, M Giordano, G Tirri, Gaetano Di Palma, Vittorio Pengo, Paola Caramaschi, Silvia Rossi, Mariaelisa Rampudda and Antonio Brucato and has published in prestigious journals such as The Lancet, Annals of the Rheumatic Diseases and Experimental Eye Research.

In The Last Decade

Co-authorship network of co-authors of U Picillo i

Fields of papers citing papers by U Picillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U Picillo

Since Specialization
Citations

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