Luca Pasquini

1.5k total citations
69 papers, 969 citations indexed

About

Luca Pasquini is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Luca Pasquini has authored 69 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Epidemiology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Luca Pasquini's work include Congenital Heart Disease Studies (15 papers), Glioma Diagnosis and Treatment (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Luca Pasquini is often cited by papers focused on Congenital Heart Disease Studies (15 papers), Glioma Diagnosis and Treatment (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Luca Pasquini collaborates with scholars based in Italy, United States and United Kingdom. Luca Pasquini's co-authors include Antonio Napolitano, Maria Camilla Rossi‐Espagnet, Paolo Tomà, Andrea Romano, A. Di Napoli, Lorenzo Figà-Talamanca, Daniela Longo, Emiliano Visconti, Stephen P. Sanders and Andrei I. Holodny and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Luca Pasquini

65 papers receiving 957 citations

Peers

Luca Pasquini

RNMI

EPIDE

PRM

SURGE

GENET

Christoph Mönninghoff Germany

Marlies Wagner Germany

Jason A. Brant United States

Noriaki Tomura Japan

Jeffrey M. Pollock United States

Lilli Geworski Germany

Naoya Hattori Japan

Matthew R. Palmer United States

Chen Lin United States

Samantha Holdsworth United States

Christoph Mönninghoff Germany

Luca Pasquini

351 ×0.8

RNMI

124 ×0.4

EPIDE

206 ×0.9

PRM

111 ×0.7

SURGE

166 ×1.2

GENET

Citations per year, relative to Luca Pasquini Luca Pasquini (= 1×) peers Christoph Mönninghoff

Countries citing papers authored by Luca Pasquini

Since Specialization

Citations

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

Fields of papers citing papers by Luca Pasquini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Pasquini

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

All Works

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20 of 20 papers shown

Porcu, Michele, et al.. (2025). White matter microstructural changes across the menstrual cycle: a differential tractography study. Neuroradiology. 67(8). 2131–2141.

Pasquini, Luca, Maya Srikanth Graham, Kyung K. Peck, et al.. (2024). Tumors Affect the Metabolic Connectivity of the Human Brain Measured by 18F-FDG PET. Clinical Nuclear Medicine. 49(9). 822–829.

Stember, Joseph N., Luca Pasquini, Kyung K. Peck, et al.. (2024). Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization. Journal of Imaging Informatics in Medicine. 38(1). 576–586.

Gewirtz, Alexandra N., et al.. (2023). The promise of metabolic imaging in diffuse midline glioma. Neoplasia. 39. 100896–100896. 9 indexed citations

Pasquini, Luca, et al.. (2023). Effect of tumor genetics, pathology, and location on fMRI of language reorganization in brain tumor patients. European Radiology. 33(9). 6069–6078. 3 indexed citations

Pasquini, Luca, et al.. (2023). Functional MRI in Neuro-Oncology: State of the Art and Future Directions. Radiology. 308(3). e222028–e222028. 13 indexed citations

Talamanca, Lorenzo Figà, Carlo Gandolfo, Aurelio Secinaro, et al.. (2023). Magnetic resonance imaging based neurosurgical planning on hololens 2: A feasibility study in a paediatric hospital. Digital Health. 9. 589857778–589857778. 2 indexed citations

Tringale, Kathryn R., Suzanne L. Wolden, Matthias A. Karajannis, et al.. (2023). Outcomes of intraventricular 131-I-omburtamab and external beam radiotherapy in patients with recurrent medulloblastoma and ependymoma. Journal of Neuro-Oncology. 162(1). 69–78. 6 indexed citations

Pasquini, Luca, A. Di Napoli, Maria Camilla Rossi‐Espagnet, et al.. (2022). Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications. Frontiers in Human Neuroscience. 16. 747215–747215. 22 indexed citations

10.

Romano, Andrea, Luca Pasquini, A. Di Napoli, et al.. (2022). Single brain metastasis versus glioblastoma multiforme: a VOI-based multiparametric analysis for differential diagnosis. La radiologia medica. 127(5). 490–497. 19 indexed citations

11.

Napoli, A. Di, Emanuela Tagliente, Luca Pasquini, et al.. (2022). 3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients. Journal of Digital Imaging. 36(2). 603–616. 13 indexed citations

12.

Tagliente, Emanuela, et al.. (2021). COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal. Journal of Personalized Medicine. 11(9). 893–893. 41 indexed citations

13.

Napolitano, Antonio, et al.. (2021). In Vivo Brain GSH: MRS Methods and Clinical Applications. Antioxidants. 10(9). 1407–1407. 38 indexed citations

14.

Pasquini, Luca, Antonio Napolitano, Emanuela Tagliente, et al.. (2021). Deep Learning Can Differentiate IDH-Mutant from IDH-Wild GBM. Journal of Personalized Medicine. 11(4). 290–290. 48 indexed citations

15.

Chiara, Luca Di, et al.. (2021). SARS-CoV-2 in a Neonate with Truncus Arteriosus: Management and Surgical Correction Timing. Pediatric Cardiology. 43(2). 470–473. 1 indexed citations

16.

Napolitano, Antonio, Giorgia Sforza, Marco Cappa, et al.. (2021). Early alterations of cortical thickness and gyrification in migraine without aura: a retrospective MRI study in pediatric patients. The Journal of Headache and Pain. 22(1). 79–79. 24 indexed citations

17.

Morana, Giovanni, Francesca Bagnasco, Luca Pasquini, et al.. (2020). Multifactorial Posterior Reversible Encephalopathy Syndrome in Children: Clinical, Laboratory, and Neuroimaging Findings. Journal of Pediatric Neurology. 19(2). 83–91. 1 indexed citations

18.

Rossi‐Espagnet, Maria Camilla, Luca Pasquini, Antonio Napolitano, et al.. (2019). Visual pathways evaluation in Kearns Sayre syndrome: a diffusion tensor imaging study. Neuroradiology. 62(2). 241–249. 4 indexed citations

19.

Rossi‐Espagnet, Maria Camilla, Bruno Bernardi, Luca Pasquini, et al.. (2017). Signal intensity at unenhanced T1-weighted magnetic resonance in the globus pallidus and dentate nucleus after serial administrations of a macrocyclic gadolinium-based contrast agent in children. Pediatric Radiology. 47(10). 1345–1352. 88 indexed citations

20.

Carlo, Duccio Di, Luca Pasquini, Adriano Carotti, et al.. (1990). Junctional ectopic tachycardia after pediatric cardiac surgery: Successful treatment with hypothermia. 6. 549–552. 1 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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