Gianluigi Patelli

62 total papers · 1.3k total citations
30 papers, 791 citations indexed

About

Gianluigi Patelli is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Gianluigi Patelli has authored 30 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Gianluigi Patelli's work include COVID-19 diagnosis using AI (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gianluigi Patelli is often cited by papers focused on COVID-19 diagnosis using AI (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Gianluigi Patelli collaborates with scholars based in Italy, United States and Malaysia. Gianluigi Patelli's co-authors include B Damascelli, Laura Frigerio, Rodolfo Lanocita, F Garbagnati, Carlo Spreafico, Giovanni Mauri, Claudio Maurizio Pacella, Salvatore Cappabianca, Fabrizio Urraro and Maria Paola Belfiore and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Gianluigi Patelli

28 papers receiving 765 citations

Author Peers

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

Author						Papers	Cites
Gianluigi Patelli	218	210	190	137	127	30	791
Wui K. Chong	511 2.3×	231 1.1×	205 1.1×	179 1.3×	64 0.5×	34	906
Seyfettin Ilgan	314 1.4×	192 0.9×	250 1.3×	177 1.3×	103 0.8×	57	753
Thomas W. Huang	223 1.0×	240 1.1×	56 0.3×	39 0.3×	38 0.3×	37	790
Prasad R. Shankar	231 1.1×	282 1.3×	295 1.6×	59 0.4×	57 0.4×	46	868
Yuanjie Niu	158 0.7×	374 1.8×	43 0.2×	76 0.6×	179 1.4×	40	730
Lorenzo Bacigalupo	262 1.2×	186 0.9×	376 2.0×	27 0.2×	82 0.6×	38	800
Henry Lewi	255 1.2×	582 2.8×	39 0.2×	22 0.2×	104 0.8×	40	863
G S M Robertson	650 3.0×	207 1.0×	33 0.2×	142 1.0×	72 0.6×	39	852
Jouko Viitanen	286 1.3×	285 1.4×	71 0.4×	77 0.6×	182 1.4×	27	721
Salvatore Cuffari	327 1.5×	338 1.6×	58 0.3×	33 0.2×	139 1.1×	38	837

Countries citing papers authored by Gianluigi Patelli

Since Specialization

Citations

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

Fields of papers citing papers by Gianluigi Patelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluigi Patelli

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