Amato Infante

66 total papers · 666 total citations
35 papers, 367 citations indexed

About

Amato Infante is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Amato Infante has authored 35 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Amato Infante's work include Pituitary Gland Disorders and Treatments (6 papers), Glioma Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Amato Infante is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Glioma Diagnosis and Treatment (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Amato Infante collaborates with scholars based in Italy, Japan and United States. Amato Infante's co-authors include Dolfi Herscovici, Julia M. Scaduto, Cesare Colosimo, Simona Gaudino, Annemilia del Ciello, Biagio Merlino, Luigi Natale, Anna Maria De Gaetano, Lucio Calandriello and Anna Rita Larici and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal of Neuroradiology and European Radiology.

In The Last Decade

Amato Infante

31 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Amato Infante	134	108	88	77	53	35	367
Shuji Date	94 0.7×	177 1.6×	29 0.3×	63 0.8×	49 0.9×	27	377
H Onitsuka	190 1.4×	53 0.5×	28 0.3×	58 0.8×	128 2.4×	26	427
Thomas Kirchgesner	152 1.1×	83 0.8×	135 1.5×	29 0.4×	72 1.4×	45	414
C Charpin	65 0.5×	64 0.6×	17 0.2×	79 1.0×	26 0.5×	26	408
Jan Rekowski	81 0.6×	56 0.5×	23 0.3×	34 0.4×	49 0.9×	29	352
Chiara Valentini	94 0.7×	75 0.7×	19 0.2×	43 0.6×	190 3.6×	36	419
Xiaoyan Li	96 0.7×	17 0.2×	52 0.6×	48 0.6×	20 0.4×	40	344
Azadeh Hojreh	89 0.7×	130 1.2×	31 0.4×	70 0.9×	53 1.0×	27	385
Eva Ferdová	73 0.5×	260 2.4×	25 0.3×	28 0.4×	104 2.0×	27	436
Sang‐Woo Lee	99 0.7×	52 0.5×	29 0.3×	21 0.3×	63 1.2×	38	356

Countries citing papers authored by Amato Infante

Since Specialization

Citations

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

Fields of papers citing papers by Amato Infante

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amato Infante

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