Alessandra Bertoldo

5.3k total citations
183 papers, 3.6k citations indexed

About

Alessandra Bertoldo is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Alessandra Bertoldo has authored 183 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Cognitive Neuroscience and 19 papers in Molecular Biology. Recurrent topics in Alessandra Bertoldo's work include Advanced MRI Techniques and Applications (69 papers), Medical Imaging Techniques and Applications (49 papers) and Functional Brain Connectivity Studies (44 papers). Alessandra Bertoldo is often cited by papers focused on Advanced MRI Techniques and Applications (69 papers), Medical Imaging Techniques and Applications (49 papers) and Functional Brain Connectivity Studies (44 papers). Alessandra Bertoldo collaborates with scholars based in Italy, United States and United Kingdom. Alessandra Bertoldo's co-authors include Mattia Veronese, Gaia Rizzo, Federico Turkheimer, Claudio Cobelli, Oliver Howes, Peter S. Bloomfield, Paolo Zanotti‐Fregonara, Mattéo Tonietto, Gianna Toffolo and Paolo Manganotti and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Alessandra Bertoldo

173 papers receiving 3.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alessandra Bertoldo Italy	32	1.2k	767	650	619	461	183	3.6k
Mattia Veronese United Kingdom	37	1.1k 0.9×	1.0k 1.4×	810 1.2×	875 1.4×	1.0k 2.2×	171	4.5k
Yong Tang China	33	584 0.5×	626 0.8×	1.0k 1.6×	740 1.2×	867 1.9×	204	4.1k
Mario Quarantelli Italy	33	1.0k 0.8×	937 1.2×	376 0.6×	665 1.1×	806 1.7×	140	4.1k
Simon Fristed Eskildsen Denmark	30	938 0.8×	704 0.9×	725 1.1×	247 0.4×	177 0.4×	94	3.1k
Phil Lee United States	36	1.9k 1.5×	1.1k 1.4×	324 0.5×	570 0.9×	570 1.2×	157	4.3k
David Izquierdo‐Garcia United States	34	1.9k 1.5×	892 1.2×	408 0.6×	312 0.5×	371 0.8×	78	4.1k
Nancy L. Sicotte United States	37	1.2k 0.9×	1.6k 2.1×	545 0.8×	428 0.7×	390 0.8×	78	5.4k
Matthan W.A. Caan Netherlands	37	1.3k 1.0×	957 1.2×	335 0.5×	329 0.5×	321 0.7×	140	4.2k
Maqsood Yaqub Netherlands	35	2.0k 1.6×	517 0.7×	457 0.7×	426 0.7×	250 0.5×	186	4.0k
Matthias Brendel Germany	32	896 0.7×	412 0.5×	985 1.5×	693 1.1×	438 1.0×	209	4.1k

Countries citing papers authored by Alessandra Bertoldo

Since Specialization

Citations

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

Fields of papers citing papers by Alessandra Bertoldo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Bertoldo

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

Devita, Maria, Alessandra Coin, Chiara Ceolin, et al.. (2025). Cognitive cerebellum dominates motor cerebellum in functional decline of older adults with mild cognitive impairment. PLoS ONE. 20(4). e0321304–e0321304.

Ferrazzi, Giulio, Marco Castellaro, Sara Mascheretti, et al.. (2025). Multi-echo versus single-echo EPI sequences for task-fMRI: A comparative study. Imaging Neuroscience. 3.

Bertoldo, Alessandra, et al.. (2025). The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 1061–1070. 5 indexed citations

Bertoldo, Alessandra, et al.. (2025). The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study. Computers in Biology and Medicine. 196(Pt A). 110608–110608. 2 indexed citations

Felice, Alessandra Del, et al.. (2024). Multiscale and multimodal signatures of structure-function coupling variability across the human neocortex. NeuroImage. 302. 120902–120902. 1 indexed citations

Baggio, Giacomo, et al.. (2024). Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data. Network Neuroscience. 8(3). 965–988. 2 indexed citations

Coletta, Ludovico, et al.. (2024). Macroscale coupling between structural and effective connectivity in the mouse brain. Scientific Reports. 14(1). 3142–3142. 2 indexed citations

Bettinelli, Andrea, Tommaso Volpi, Manu S. Goyal, et al.. (2024). EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies. EJNMMI Physics. 11(1). 105–105. 1 indexed citations

Bordin, Anna, Giancarlo Ottaviano, Piergiorgio Gaudioso, et al.. (2024). Late olfactory bulb involvement in COVID-19. Chemical Senses. 49. 1 indexed citations

10.

Lombardi, Giuseppe, et al.. (2024). Perioperative imaging predictors of tumor progression and pseudoprogression: A systematic review. Critical Reviews in Oncology/Hematology. 202. 104445–104445.

11.

Devita, Maria, Mariagiulia Anglani, Chiara Ceolin, et al.. (2024). The Role of Cognitive Reserve in Protecting Cerebellar Volumes of Older Adults with mild Cognitive Impairment. The Cerebellum. 23(5). 1966–1974. 6 indexed citations

12.

Volpi, Tommaso, John J. Lee, Andrei G. Vlassenko, et al.. (2024). Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard. European Journal of Nuclear Medicine and Molecular Imaging. 52(3). 836–850. 1 indexed citations

13.

Volpi, Tommaso, Tony J. Durbin, Maurizio Corbetta, et al.. (2023). A new framework for metabolic connectivity mapping using bolus [ ¹⁸ F]FDG PET and kinetic modeling. Journal of Cerebral Blood Flow & Metabolism. 43(11). 1905–1918. 9 indexed citations

14.

Squarcina, Letizia, Alessandro Pigoni, Adele Ferro, et al.. (2023). Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester. Neuroinformatics. 21(3). 549–563. 2 indexed citations

15.

Facchini, Silvia, et al.. (2023). The dynamic functional connectivity fingerprint of high-grade gliomas. Scientific Reports. 13(1). 10389–10389. 3 indexed citations

16.

Salvalaggio, Alessandro, Mariagiulia Anglani, Marco Castellaro, et al.. (2022). Assessment of structural disconnections in gliomas: comparison of indirect and direct approaches. Brain Structure and Function. 227(9). 3109–3120. 6 indexed citations

17.

Rebelos, Eleni, Marco Bucci, Tomi Karjalainen, et al.. (2021). Insulin Resistance Is Associated With Enhanced Brain Glucose Uptake During Euglycemic Hyperinsulinemia: A Large-Scale PET Cohort. Diabetes Care. 44(3). 788–794. 45 indexed citations

18.

Biundo, Roberta, Luca Weis, Eleonora Fiorenzato, et al.. (2021). The contribution of beta-amyloid to dementia in Lewy body diseases: a 1-year follow-up study. Brain Communications. 3(3). fcab180–fcab180. 23 indexed citations

19.

Volpi, Tommaso, et al.. (2021). Assessing different approaches to estimate single-subject metabolic connectivity from dynamic [¹⁸F]fluorodeoxyglucose Positron Emission Tomography data. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 3259–3262. 1 indexed citations

20.

Castellaro, Marco, Valentina Baro, Sabrina Brigadoi, et al.. (2020). Multishell Diffusion MRI–Based Tractography of the Facial Nerve in Vestibular Schwannoma. American Journal of Neuroradiology. 41(8). 1480–1486. 13 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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