Amato Infante

672 total citations
35 papers, 372 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 372 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 Glioma Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Amato Infante is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (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, Annemilia del Ciello, Simona Gaudino, Biagio Merlino, Anna Maria De Gaetano, Luigi Natale, Anna Rita Larici and Roberto Iezzi and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal of Neuroradiology and BMC Cancer.

In The Last Decade

Amato Infante

32 papers receiving 363 citations

Peers

Amato Infante
Serap Gültekin Türkiye
Aslıhan Semiz-Oysu Türkiye
Min A Yoon South Korea
Iwona Kucybała Poland
Jan‐Lukas Robertus Netherlands
R. A. Manoliu Netherlands
Paul Mahoney United Kingdom
Kieran Frawley Australia
Ashley M. Lee United States
Y.F. Fan Singapore
Serap Gültekin Türkiye
Amato Infante
Citations per year, relative to Amato Infante Amato Infante (= 1×) peers Serap Gültekin

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

20 of 20 papers shown
1.
Chiloiro, Sabrina, Pier Paolo Mattogno, Flavia Angelini, et al.. (2025). Cytokines and chemokines modulate the growth of pituitary adenoma/neuroendocrine tumors: preliminary results of a monocenter prospective pilot study. Pituitary. 28(2). 37–37.
2.
Covino, Marcello, Andrea Piccioni, Giuseppe Merra, et al.. (2024). Head CT Scans in the Emergency Department during the COVID-19 Pandemic: Use or Overuse?. Life. 14(2). 264–264.
3.
Verdolotti, Tommaso, Giuseppe Ferrara, Amato Infante, et al.. (2024). Central nervous system pediatric multi-disciplinary tumor board: a single center experience. BMC Cancer. 24(1). 1146–1146. 3 indexed citations
4.
Chiloiro, Sabrina, Antonella Giampietro, Amato Infante, et al.. (2024). GH receptor polymorphisms guide second-line therapies to prevent acromegaly skeletal fragility: preliminary results of a pilot study. Frontiers in Endocrinology. 15. 1414101–1414101. 1 indexed citations
5.
Chiloiro, Sabrina, Antonella Giampietro, Flavia Angelini, et al.. (2024). The Role of the GH Receptor Polymorphisms as a Prognostic Factor of Vertebral Fractures in Acromegalic Patients Resistant to First-generation SSAs and Treated with Pegvisomant or Pasireotide LAR. Endocrine Metabolic & Immune Disorders - Drug Targets. 24(17). 11–11.
6.
Chiloiro, Sabrina, Ettore Capoluongo, Angelo Minucci, et al.. (2024). The Pathogenic RET Val804Met Variant in Acromegaly: A New Clinical Phenotype?. International Journal of Molecular Sciences. 25(3). 1895–1895. 3 indexed citations
7.
8.
Infante, Amato, Simona Gaudino, Federica Orsini, et al.. (2023). Large language models (LLMs) in the evaluation of emergency radiology reports: performance of ChatGPT-4, Perplexity, and Bard. Clinical Radiology. 79(2). 102–106. 16 indexed citations
9.
Martucci, Matia, Amato Infante, Francesca Magnani, et al.. (2023). Magnetic resonance imaging-derived parameters to predict response to regorafenib in recurrent glioblastoma. Neuroradiology. 65(10). 1439–1445. 2 indexed citations
10.
Leone, Antonio Maria, et al.. (2022). THE ROLE OF SERIAL RADIOGRAPHS TO DIAGNOSE DIABETIC FOOT BONE INFECTION.. Mediterranean Journal of Hematology and Infectious Diseases. 14(1). e2022055–e2022055. 7 indexed citations
11.
Kuo, Michael, K.W. Chiu, David S. Wang, et al.. (2022). Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients. European Radiology. 33(1). 23–33. 8 indexed citations
12.
Larici, Anna Rita, Giuseppe Cicchetti, Riccardo Marano, et al.. (2020). Multimodality imaging of COVID-19 pneumonia: from diagnosis to follow-up. A comprehensive review. European Journal of Radiology. 131. 109217–109217. 43 indexed citations
13.
Brizi, Maria Gabriella, Francesca Lanza, Pierpaolo Gallucci, et al.. (2020). Role of CT imaging in discriminating internal hernia from aspecific abdominal pain following Roux-en-Y gastric bypass: a single high-volume centre experience. Updates in Surgery. 72(4). 1115–1124. 6 indexed citations
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16.
Gaudino, Simona, Carolina Giordano, Amato Infante, et al.. (2020). Role of susceptibility-weighted imaging and intratumoral susceptibility signals in grading and differentiating pediatric brain tumors at 1.5 T: a preliminary study. Neuroradiology. 62(6). 705–713. 14 indexed citations
17.
Gaudino, Simona, Matia Martucci, Amato Infante, et al.. (2019). Brain DSC MR Perfusion in Children: A Clinical Feasibility Study Using Different Technical Standards of Contrast Administration. American Journal of Neuroradiology. 40(2). 359–365. 13 indexed citations
18.
Lucibello, Simona, Tommaso Verdolotti, Francesco Giordano, et al.. (2018). Brain morphometry of preschool age children affected by autism spectrum disorder: Correlation with clinical findings. Clinical Anatomy. 32(1). 143–150. 9 indexed citations
19.
Guerra, Adalgisa, Anna Maria De Gaetano, Amato Infante, et al.. (2017). Imaging assessment of portal venous system: pictorial essay of normal anatomy, anatomic variants and congenital anomalies.. PubMed. 21(20). 4477–4486. 14 indexed citations
20.
Giuliani, Michela, Rossella Rella, Amato Infante, et al.. (2016). Can Breast Cancer Biopsy Influence Sentinel Lymph Node Status?. Clinical Breast Cancer. 16(6). e153–e157. 4 indexed citations

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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