Alfredo Granata

423 total citations
9 papers, 288 citations indexed

About

Alfredo Granata is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Alfredo Granata has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cognitive Neuroscience. Recurrent topics in Alfredo Granata's work include Multiple Sclerosis Research Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Alfredo Granata is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Alfredo Granata collaborates with scholars based in Italy and United States. Alfredo Granata's co-authors include Stefania Barone, Paola Valentino, Aldo Quattrone, Alessia Sarica, Carmelina Chiriaco, Selena Mimmi, Ileana Quinto, Sara Scannapieco, Maria Paola Trotta and Ida Manna and has published in prestigious journals such as The FASEB Journal, Human Brain Mapping and Journal of the Neurological Sciences.

In The Last Decade

Alfredo Granata

9 papers receiving 285 citations

Peers

Alfredo Granata

NEURO

PFM

RNMI

Stefania Barone Italy

Mariagiulia Anglani Italy

Krzysztof Tybor Poland

Fariha Khalid United States

Takahiro Iwasawa Japan

Ruth Schneider Germany

Richard Daniëls United States

Rozita Doosti Iran

Mengxi Zhou China

Athena L. Chen United States

Stefania Barone Italy

Alfredo Granata

117 ×1.1

77 ×1.1

NEURO

117 ×1.7

PFM

75 ×1.1

RNMI

68 ×1.0

Citations per year, relative to Alfredo Granata Alfredo Granata (= 1×) peers Stefania Barone

Countries citing papers authored by Alfredo Granata

Since Specialization

Citations

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

Fields of papers citing papers by Alfredo Granata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Granata

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Granata. A scholar is included among the top collaborators of Alfredo Granata 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 Alfredo Granata. Alfredo Granata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Garnero, Martina, Massimo Del Sette, Andrea Assini, et al.. (2020). COVID-19-related and not related Guillain-Barré syndromes share the same management pitfalls during lock down: The experience of Liguria region in Italy. Journal of the Neurological Sciences. 418. 117114–117114. 24 indexed citations

Saccà, Valeria, Alessia Sarica, Fabiana Novellino, et al.. (2018). Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data. Brain Imaging and Behavior. 13(4). 1103–1114. 65 indexed citations

Barone, Stefania, Maria Eugenia Caligiuri, Paola Valentino, et al.. (2018). Multimodal assessment of normal-appearing corpus callosum is a useful marker of disability in relapsing–remitting multiple sclerosis: an MRI cluster analysis study. Journal of Neurology. 265(10). 2243–2250. 11 indexed citations

Manna, Ida, Enrico Iaccino, Vincenzo Dattilo, et al.. (2018). Exosome‐associated miRNA profile as a prognostic tool for therapy response monitoring in multiple sclerosis patients. The FASEB Journal. 32(8). 4241–4246. 93 indexed citations

Saccà, Valeria, Alessia Sarica, Fabiana Novellino, et al.. (2018). Evaluation Of The Mcflirt Correction Algorithm In Head Motion From Resting State Fmri Data. Zenodo (CERN European Organization for Nuclear Research). 12(3). 58–61. 3 indexed citations

Barone, Stefania, Sara Scannapieco, Carlo Torti, et al.. (2017). Hepatic microabscesses during CMV reactivation in a multiple sclerosis patient after alemtuzumab treatment. Multiple Sclerosis and Related Disorders. 20. 6–8. 10 indexed citations

Nicoletti, Giuseppe, Paola Valentino, Carmelina Chiriaco, et al.. (2017). Superior Cerebellar Peduncle Atrophy Predicts Cognitive Impairment in Relapsing Remitting Multiple Sclerosis Patients with Cerebellar Symptoms: A DTI Study. 4(2). 5 indexed citations

Sarica, Alessia, Antonio Cerasa, Paola Valentino, et al.. (2016). The corticospinal tract profile in amyotrophic lateral sclerosis. Human Brain Mapping. 38(2). 727–739. 53 indexed citations

Caligiuri, Maria Eugenia, Stefania Barone, Andrea Cherubini, et al.. (2014). The relationship between regional microstructural abnormalities of the corpus callosum and physical and cognitive disability in relapsing–remitting multiple sclerosis. NeuroImage Clinical. 7. 28–33. 24 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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