Cristina Scarpazza

4.7k total citations · 1 hit paper
98 papers, 2.8k citations indexed

About

Cristina Scarpazza is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Social Psychology. According to data from OpenAlex, Cristina Scarpazza has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cognitive Neuroscience, 24 papers in Psychiatry and Mental health and 18 papers in Social Psychology. Recurrent topics in Cristina Scarpazza's work include Functional Brain Connectivity Studies (25 papers), Multiple Sclerosis Research Studies (15 papers) and Neural and Behavioral Psychology Studies (14 papers). Cristina Scarpazza is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Multiple Sclerosis Research Studies (15 papers) and Neural and Behavioral Psychology Studies (14 papers). Cristina Scarpazza collaborates with scholars based in Italy, United Kingdom and United States. Cristina Scarpazza's co-authors include Giuseppe Sartori, Giorgia Cona, Andrea Mechelli, Ruggero Capra, Flavia Mattioli, Sandra Vieira, Nicola De Rossi, Philip McGuire, Patrizia Bisiacchi and Qiyong Gong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cristina Scarpazza

95 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes

2019 228 citations Sarah E. Morgan, Jakob Seidlitz et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cristina Scarpazza Italy	30	1.4k	658	499	426	358	98	2.8k
Christophe Destrieux France	26	1.9k 1.4×	516 0.8×	280 0.6×	1.1k 2.5×	472 1.3×	96	3.9k
G. Ladurner Austria	36	2.0k 1.5×	523 0.8×	292 0.6×	359 0.8×	659 1.8×	170	4.9k
Carlton Chu United Kingdom	19	1.9k 1.4×	966 1.5×	269 0.5×	860 2.0×	293 0.8×	30	3.7k
Dennis Chan United Kingdom	28	1.8k 1.3×	1.4k 2.2×	195 0.4×	478 1.1×	657 1.8×	77	3.9k
Guy Leschziner United Kingdom	29	1.3k 1.0×	596 0.9×	733 1.5×	142 0.3×	499 1.4×	94	3.0k
Stefan Schneider Germany	34	908 0.7×	300 0.5×	179 0.4×	184 0.4×	130 0.4×	156	3.7k
Marta García‐Fiñana United Kingdom	28	592 0.4×	511 0.8×	85 0.2×	444 1.0×	178 0.5×	100	2.9k
Raffaele Nardone Austria	41	1.5k 1.1×	1.7k 2.6×	141 0.3×	309 0.7×	1.4k 4.0×	264	6.0k
Christopher Clark Australia	37	2.6k 1.9×	1.1k 1.7×	614 1.2×	611 1.4×	229 0.6×	108	5.4k
John J. Sidtis United States	42	2.4k 1.7×	723 1.1×	650 1.3×	804 1.9×	642 1.8×	132	6.6k

Countries citing papers authored by Cristina Scarpazza

Since Specialization

Citations

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

Fields of papers citing papers by Cristina Scarpazza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Scarpazza

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Scarpazza, Cristina & Andrea Zangrossi. (2025). Artificial intelligence in insanity evaluation. Potential opportunities and current challenges. International Journal of Law and Psychiatry. 100. 102082–102082. 1 indexed citations

Orrù, Graziella, et al.. (2024). Posttraumatic stress disorder (PTSD) prevalence: an umbrella review. Psychological Medicine. 54(15). 4021–4034. 10 indexed citations

Anzani, Annalisa, Stefano Zago, Cristina Scarpazza, et al.. (2024). Are patients with Parkinson's disease impaired in the recognition of emotion's authenticity?. Journal of Neuropsychology. 19(3). 411–424. 1 indexed citations

Pezzetta, Rachele, Fabio Masina, Sara Lago, et al.. (2024). Comprehensive investigation of predictive processing: A cross‐ and within‐cognitive domains fMRI meta‐analytic approach. Human Brain Mapping. 45(12). e26817–e26817. 2 indexed citations

Cona, Giorgia, et al.. (2023). Gradient Organization of Space, Time, and Numbers in the Brain: A Meta-analysis of Neuroimaging Studies. Neuropsychology Review. 34(3). 721–737. 5 indexed citations

Scarpazza, Cristina, Colleen M. Berryessa, Orrin Devinsky, et al.. (2023). Acquired Pedophilia: international Delphi-method-based consensus guidelines. Translational Psychiatry. 13(1). 11–11. 7 indexed citations

Orrù, Graziella, Giuseppe Sartori, Angelo Gemignani, et al.. (2022). Machine learning item selection for short scale construction: A proof-of-concept using the SIMS. The Clinical Neuropsychologist. 37(7). 1371–1388. 3 indexed citations

Scarpazza, Cristina, Livio Finos, Sarah Genon, et al.. (2021). Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging. Brain Imaging and Behavior. 15(5). 2681–2692. 11 indexed citations

Monaro, Merylin, et al.. (2021). Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models. Computers in Human Behavior. 127. 107063–107063. 47 indexed citations

10.

Scarpazza, Cristina, et al.. (2020). A multidisciplinary approach to insanity assessment as a way to reduce cognitive biases. Forensic Science International. 319. 110652–110652. 8 indexed citations

11.

Morgan, Sarah E., Jonathan Young, Ameera X. Patel, et al.. (2020). Functional Magnetic Resonance Imaging Connectivity Accurately Distinguishes Cases With Psychotic Disorders From Healthy Controls, Based on Cortical Features Associated With Brain Network Development. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(12). 1125–1134. 20 indexed citations

12.

Scarpazza, Cristina, Alessio Signori, Mirco Cosottini, et al.. (2019). Should frequent MRI monitoring be performed in natalizumab-treated MS patients? A contribution to a recent debate. Multiple Sclerosis Journal. 26(10). 1227–1236. 13 indexed citations

13.

Morgan, Sarah E., Jakob Seidlitz, Kirstie Whitaker, et al.. (2019). Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proceedings of the National Academy of Sciences. 116(19). 9604–9609. 228 indexed citations breakdown →

14.

Scarpazza, Cristina, et al.. (2019). Four cases of natalizumab-related PML: a less severe course in extended interval dosing?. Neurological Sciences. 40(10). 2119–2124. 19 indexed citations

15.

Vieira, Sandra, Qiyong Gong, Walter Hugo Lopez Pinaya, et al.. (2018). Using Machine Learning and Structural Neuroimaging to Detect First Episode Psychosis: Reconsidering the Evidence. Schizophrenia Bulletin. 46(1). 17–26. 65 indexed citations

16.

Sellitto, Manuela, et al.. (2017). Multiple sclerosis reduces sensitivity to immediate reward during decision making.. Behavioral Neuroscience. 131(4). 325–336. 4 indexed citations

17.

Ciaramelli, Elisa, Cristina Scarpazza, Flavia Mattioli, et al.. (2017). Subjective recollection independent from multifeatural context retrieval following damage to the posterior parietal cortex. Cortex. 91. 114–125. 28 indexed citations

18.

Scarpazza, Cristina & Maria Stefania De Simone. (2016). Voxel-based morphometry: current perspectives. Padua Research Archive (University of Padova). Volume 5. 19–35. 28 indexed citations

19.

Scarpazza, Cristina, Giuseppe di Pellegrino, & Elisabetta Làdavas. (2014). Emotional modulation of touch in alexithymia.. Emotion. 14(3). 602–610. 34 indexed citations

20.

Scarpazza, Cristina, et al.. (2013). Education protects against cognitive changes associated with multiple sclerosis. Restorative Neurology and Neuroscience. 31(5). 619–631. 21 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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