Natale Villari

134 total papers · 2.4k total citations
83 papers, 1.8k citations indexed

About

Natale Villari is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Natale Villari has authored 83 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Natale Villari's work include Advanced MRI Techniques and Applications (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Natale Villari is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Natale Villari collaborates with scholars based in Italy, Netherlands and United States. Natale Villari's co-authors include Mario Mascalchi, Stefano Colagrande, Massimo Falchini, Maurizio Bartolucci, Stefano Diciotti, G. Valli, Ilaria Orlandi, Gianna Camiciottoli, Chiara Moroni and Giulia Picozzi and has published in prestigious journals such as Blood, Neurology and Radiology.

In The Last Decade

Natale Villari

82 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Natale Villari	601	583	267	237	169	83	1.8k
Kiyohiko Sakamoto	442 0.7×	392 0.7×	246 0.9×	299 1.3×	135 0.8×	80	1.3k
Oliver Dudeck	619 1.0×	654 1.1×	480 1.8×	136 0.6×	149 0.9×	66	2.1k
Patrick J. Peller	502 0.8×	579 1.0×	351 1.3×	286 1.2×	172 1.0×	87	1.8k
Min‐Chi Chen	414 0.7×	290 0.5×	416 1.6×	182 0.8×	153 0.9×	92	1.7k
Christian Ritter	436 0.7×	800 1.4×	356 1.3×	187 0.8×	98 0.6×	85	1.8k
Elba Etchebehere	593 1.0×	730 1.3×	352 1.3×	136 0.6×	115 0.7×	114	1.7k
Cristina Lavini	470 0.8×	731 1.3×	348 1.3×	323 1.4×	95 0.6×	70	2.1k
Susanne Klutmann	748 1.2×	940 1.6×	419 1.6×	273 1.2×	80 0.5×	97	2.0k
Tatsuro Tsuchida	572 1.0×	1.2k 2.0×	348 1.3×	194 0.8×	140 0.8×	92	2.1k
Giuseppe Rubini	581 1.0×	603 1.0×	541 2.0×	219 0.9×	194 1.1×	199	2.1k

Countries citing papers authored by Natale Villari

Since Specialization

Citations

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

Fields of papers citing papers by Natale Villari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natale Villari

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