Pasquale Borrelli

554 total citations
25 papers, 407 citations indexed

About

Pasquale Borrelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Pasquale Borrelli has authored 25 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Pasquale Borrelli's work include Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and MRI in cancer diagnosis (5 papers). Pasquale Borrelli is often cited by papers focused on Advanced MRI Techniques and Applications (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and MRI in cancer diagnosis (5 papers). Pasquale Borrelli collaborates with scholars based in Italy, United States and Germany. Pasquale Borrelli's co-authors include Giuseppe Palma, Enrico Tedeschi, Sirio Cocozza, Marco Salvatore, Bruno Alfano, Vincenzo Brescia Morra, Marco Aiello, Arturo Brunetti, Roberta Lanzillo and Carmela Russo and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Pasquale Borrelli

24 papers receiving 405 citations

Peers

Pasquale Borrelli
Lucas Carvajal United States
Kofi Deh United States
Joshua Kaggie United Kingdom
Pasquale Borrelli
Citations per year, relative to Pasquale Borrelli Pasquale Borrelli (= 1×) peers Pierre‐Antoine Eliat

Countries citing papers authored by Pasquale Borrelli

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Borrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasquale Borrelli

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Borrelli. A scholar is included among the top collaborators of Pasquale Borrelli 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 Pasquale Borrelli. Pasquale Borrelli 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.
Aiello, Marco, Moira Marizzoni, Pasquale Borrelli, et al.. (2025). Microstructural assessment of the locus coeruleus–entorhinal cortex pathway and association with ATN markers in cognitive impairment. Alzheimer s & Dementia. 21(4). e70126–e70126. 1 indexed citations
2.
Borrelli, Pasquale, Carlo Cavaliere, Marco Salvatore, Jorge Jovicich, & Marco Aiello. (2021). Structural Brain Network Reproducibility: Influence of Different Diffusion Acquisition and Tractography Reconstruction Schemes on Graph Metrics. Brain Connectivity. 12(8). 754–767. 8 indexed citations
3.
Borrelli, Pasquale, Miriam Zacchia, Carlo Cavaliere, et al.. (2021). Diffusion tensor imaging for the study of early renal dysfunction in patients affected by bardet-biedl syndrome. Scientific Reports. 11(1). 20855–20855. 2 indexed citations
4.
Aiello, Marco, et al.. (2021). How does DICOM support big data management? Investigating its use in medical imaging community. Insights into Imaging. 12(1). 164–164. 22 indexed citations
5.
Borrelli, Pasquale, et al.. (2021). Voxel-Wise Feature Selection Method for CNN Binary Classification of Neuroimaging Data. Frontiers in Neuroscience. 15. 630747–630747. 2 indexed citations
6.
Aiello, Marco, Emily S. Nichols, Carlo Cavaliere, et al.. (2020). Consciousness and the Dimensionality of DOC Patients via the Generalized Ising Model. Journal of Clinical Medicine. 9(5). 1342–1342. 15 indexed citations
7.
Borrelli, Pasquale, Carlo Cavaliere, Luca Basso, et al.. (2019). Diffusion Tensor Imaging of the Kidney: Design and Evaluation of a Reliable Processing Pipeline. Scientific Reports. 9(1). 12789–12789. 17 indexed citations
8.
Pontillo, Giuseppe, Sirio Cocozza, Roberta Lanzillo, et al.. (2018). Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study. American Journal of Neuroradiology. 40(1). 99–106. 41 indexed citations
9.
Russo, Camilla, Giuseppe Pontillo, Antonio Pisani, et al.. (2018). Striatonigral involvement in Fabry Disease: A quantitative and volumetric Magnetic Resonance Imaging study. Parkinsonism & Related Disorders. 57. 27–32. 11 indexed citations
10.
Monti, Serena, Pasquale Borrelli, Enrico Tedeschi, Sirio Cocozza, & Giuseppe Palma. (2017). RESUME: Turning an SWI acquisition into a fast qMRI protocol. PLoS ONE. 12(12). e0189933–e0189933. 14 indexed citations
11.
Cocozza, Sirio, Camilla Russo, Antonio Pisani, et al.. (2017). Redefining the Pulvinar Sign in Fabry Disease. American Journal of Neuroradiology. 38(12). 2264–2269. 28 indexed citations
12.
Pontillo, Giuseppe, Sirio Cocozza, Roberta Lanzillo, et al.. (2017). Brain Susceptibility Changes in a Patient with Natalizumab-Related Progressive Multifocal Leukoencephalopathy: A Longitudinal Quantitative Susceptibility Mapping and Relaxometry Study. Frontiers in Neurology. 8. 294–294. 11 indexed citations
13.
Tedeschi, Enrico, Sirio Cocozza, Pasquale Borrelli, et al.. (2017). Longitudinal Assessment of Dentate Nuclei Relaxometry during Massive Gadobutrol Exposure. Magnetic Resonance in Medical Sciences. 17(1). 100–104. 10 indexed citations
14.
Tedeschi, Enrico, Giuseppe Palma, Antonietta Canna, et al.. (2016). In vivo dentate nucleus MRI relaxometry correlates with previous administration of Gadolinium-based contrast agents. European Radiology. 26(12). 4577–4584. 71 indexed citations
15.
Palma, Giuseppe, Enrico Tedeschi, Pasquale Borrelli, et al.. (2015). A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain. PLoS ONE. 10(8). e0134963–e0134963. 34 indexed citations
16.
Borrelli, Pasquale, Giuseppe Palma, Enrico Tedeschi, et al.. (2015). Improving Signal-to-Noise Ratio in Susceptibility Weighted Imaging: A Novel Multicomponent Non-Local Approach. PLoS ONE. 10(6). e0126835–e0126835. 18 indexed citations
17.
Borrelli, Pasquale, et al.. (2014). Unbiased noise estimation and denoising in parallel magnetic resonance imaging. 19. 1230–1234. 11 indexed citations
18.
Palma, Giuseppe, Bruno Alfano, Salvatore Cuomo, et al.. (2013). 3D Non-Local Means denoising via multi-GPU. Federated Conference on Computer Science and Information Systems. 495–498. 30 indexed citations
19.
Calemma, Rosa, Alessandro Ottaiano, Anna Maria Trotta, et al.. (2012). Fc gamma receptor IIIa polymorphisms in advanced colorectal cancer patients correlated with response to anti-EGFR antibodies and clinical outcome. Journal of Translational Medicine. 10(1). 232–232. 30 indexed citations
20.
Vignati, A., Valentina Giannini, Alberto Bert, et al.. (2012). A Fully Automatic Multiscale 3-Dimensional Hessian-Based Algorithm for Vessel Detection in Breast DCE-MRI. Investigative Radiology. 47(12). 705–710. 9 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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