Virgilio Longari

40 total papers · 594 total citations
20 papers, 432 citations indexed

About

Virgilio Longari is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, Virgilio Longari has authored 20 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Infectious Diseases. Recurrent topics in Virgilio Longari's work include Thyroid Disorders and Treatments (4 papers), Hematological disorders and diagnostics (2 papers) and COVID-19 Clinical Research Studies (2 papers). Virgilio Longari is often cited by papers focused on Thyroid Disorders and Treatments (4 papers), Hematological disorders and diagnostics (2 papers) and COVID-19 Clinical Research Studies (2 papers). Virgilio Longari collaborates with scholars based in Italy, United States and Netherlands. Virgilio Longari's co-authors include Massimo Castellani, Tiziana Re, Mario Salvi, Ilaria Muller, Giovanna Mantovani, Davide Dazzi, Ferruccio Ceriotti, Emanuela Orsi, Paolo Gerundini and Emanuele Ferrante and has published in prestigious journals such as Journal of Hypertension, Journal of Nuclear Medicine and The Lancet Diabetes & Endocrinology.

In The Last Decade

Virgilio Longari

18 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Virgilio Longari	175	175	102	75	63	20	432
Katerina Stefanaki	37 0.2×	75 0.4×	47 0.5×	26 0.3×	38 0.6×	28	372
Nathalie Roudaut	38 0.2×	296 1.7×	82 0.8×	31 0.4×	15 0.2×	29	465
Claire Kelly	55 0.3×	24 0.1×	84 0.8×	102 1.4×	63 1.0×	25	488
Gabrielle Sarlon	73 0.4×	19 0.1×	81 0.8×	85 1.1×	38 0.6×	19	467
George Mansour	51 0.3×	117 0.7×	172 1.7×	77 1.0×	41 0.7×	22	480
Hayles Ab	23 0.1×	83 0.5×	139 1.4×	50 0.7×	33 0.5×	25	367
C. Whitley Vick	69 0.4×	23 0.1×	323 3.2×	97 1.3×	30 0.5×	30	486
Philipp Gauckler	64 0.4×	17 0.1×	43 0.4×	134 1.8×	26 0.4×	28	385
P. Sève	23 0.1×	57 0.3×	57 0.6×	20 0.3×	206 3.3×	15	412
Sabine Mainbourg	194 1.1×	11 0.1×	69 0.7×	171 2.3×	77 1.2×	30	490

Countries citing papers authored by Virgilio Longari

Since Specialization

Citations

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

Fields of papers citing papers by Virgilio Longari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virgilio Longari

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