Giulio Pergola

5.2k total citations
74 papers, 1.6k citations indexed

About

Giulio Pergola is a scholar working on Cognitive Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Giulio Pergola has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 19 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Giulio Pergola's work include Functional Brain Connectivity Studies (31 papers), Neural dynamics and brain function (16 papers) and Genetic Associations and Epidemiology (16 papers). Giulio Pergola is often cited by papers focused on Functional Brain Connectivity Studies (31 papers), Neural dynamics and brain function (16 papers) and Genetic Associations and Epidemiology (16 papers). Giulio Pergola collaborates with scholars based in Italy, United States and Germany. Giulio Pergola's co-authors include Boris Suchan, Alessandro Bertolino, Raffaella I. Rumiati, Francesco Foroni, Giuseppe Blasi, Pierluigi Selvaggi, Antonio Rampino, Benno Koch, Michael Schwarz and Irene Daum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Giulio Pergola

68 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giulio Pergola Italy 22 902 315 236 233 214 74 1.6k
Francesco Musso Germany 21 1.0k 1.1× 239 0.8× 149 0.6× 203 0.9× 227 1.1× 39 1.5k
Jeffrey N. Valdez United States 17 782 0.9× 149 0.5× 262 1.1× 150 0.6× 381 1.8× 25 1.5k
Rebekka Lencer Germany 30 1.1k 1.2× 208 0.7× 259 1.1× 404 1.7× 758 3.5× 114 2.5k
Kanchana Jagannathan United States 26 1.8k 2.0× 751 2.4× 330 1.4× 406 1.7× 369 1.7× 65 2.6k
Elena Antonova United Kingdom 21 984 1.1× 239 0.8× 233 1.0× 213 0.9× 614 2.9× 43 1.7k
Ralf Tepest Germany 24 1.2k 1.4× 394 1.3× 184 0.8× 153 0.7× 704 3.3× 45 2.1k
Jason Smucny United States 19 733 0.8× 193 0.6× 139 0.6× 317 1.4× 295 1.4× 60 1.3k
Mei‐Hua Hall United States 30 1.3k 1.5× 214 0.7× 288 1.2× 283 1.2× 1.0k 4.8× 78 2.4k

Countries citing papers authored by Giulio Pergola

Since Specialization
Citations

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

Fields of papers citing papers by Giulio Pergola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulio Pergola

This figure shows the co-authorship network connecting the top 25 collaborators of Giulio Pergola. A scholar is included among the top collaborators of Giulio Pergola 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 Giulio Pergola. Giulio Pergola 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
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Altamura, Mario, Antonello Bellomo, Brian A. Coffman, et al.. (2024). Abnormal inter-hemispheric effective connectivity from left to right auditory regions during Mismatch Negativity (MMN) tasks in psychosis. Psychiatry Research. 342. 116189–116189. 1 indexed citations
3.
Rocca, Paola, Claudio Brasso, Cristiana Montemagni, et al.. (2024). The relationship between the resting state functional connectivity and social cognition in schizophrenia: Results from the Italian Network for Research on Psychoses. Schizophrenia Research. 267. 330–340. 1 indexed citations
4.
Berchio, Cristina, et al.. (2024). MEG Microstates: An Investigation of Underlying Brain Sources and Potential Neurophysiological Processes. Brain Topography. 37(6). 993–1009. 6 indexed citations
5.
Kleinman, Joel E., et al.. (2024). Network-wide risk convergence in gene co-expression identifies reproducible genetic hubs of schizophrenia risk. Neuron. 112(21). 3551–3566.e6. 1 indexed citations
6.
Geraci, Federica, Nora Penzel, Samuele Laudani, et al.. (2024). Sex dimorphism controls dysbindin-related cognitive dysfunctions in mice and humans with the contribution of COMT. Molecular Psychiatry. 29(9). 2666–2677. 1 indexed citations
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Andriola, Ileana, et al.. (2024). Different abnormalities of mismatch negativity in schizophrenia and depression as assessed with magnetoencephalography. Journal of Psychiatric Research. 181. 126–133.
9.
Segobin, Shailendra, Roy A.M. Haast, Vinod Kumar, et al.. (2024). A roadmap towards standardized neuroimaging approaches for human thalamic nuclei. Nature reviews. Neuroscience. 25(12). 792–808. 5 indexed citations
10.
Quarto, Tiziana, Pasquale Di Carlo, Antonio Rampino, et al.. (2023). Heritability of amygdala reactivity to angry faces and its replicable association with the schizophrenia risk locus of miR-137. Journal of Psychiatry and Neuroscience. 48(5). E357–E366. 2 indexed citations
11.
Giordano, Giulia Maria, Francesco Sanmarchi, Armida Mucci, et al.. (2023). External validation of the five domains of negative symptoms: Focus on cognition, functional capacity, and real-world functioning. European Psychiatry. 67(1). e3–e3. 6 indexed citations
12.
Pergola, Giulio, Rahul Bharadwaj, Eugenia Radulescu, et al.. (2023). Consensus molecular environment of schizophrenia risk genes in coexpression networks shifting across age and brain regions. Science Advances. 9(15). eade2812–eade2812. 10 indexed citations
13.
Radulescu, Eugenia, Qiang Chen, Giulio Pergola, et al.. (2023). Investigating trait variability of gene co-expression network architecture in brain by controlling for genomic risk of schizophrenia. PLoS Genetics. 19(10). e1010989–e1010989. 1 indexed citations
14.
Chen, Qiang, Giulio Pergola, Aaron L. Goldman, et al.. (2021). G-MIND: An end-to-end multimodal imaging-genetics framework for biomarker identification and disease classification. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 6 indexed citations
15.
Rampino, Antonio, Silvia Torretta, Barbara Gelao, et al.. (2021). Evidence of an interaction between FXR1 and GSK3β polymorphisms on levels of Negative Symptoms of Schizophrenia and their response to antipsychotics. European Psychiatry. 64(1). e39–e39. 6 indexed citations
16.
Antonucci, Linda A., et al.. (2021). Flexible and specific contributions of thalamic subdivisions to human cognition. Neuroscience & Biobehavioral Reviews. 124. 35–53. 19 indexed citations
17.
Antonucci, Linda A., Giulio Pergola, Alessandro Pigoni, et al.. (2019). A Pattern of Cognitive Deficits Stratified for Genetic and Environmental Risk Reliably Classifies Patients With Schizophrenia From Healthy Control Subjects. Biological Psychiatry. 87(8). 697–707. 25 indexed citations
18.
Rampino, Antonio, Silvia Torretta, Tiziana Quarto, et al.. (2019). Emotional Stability Interacts with Cortisol Levels Before fMRI on Brain Processing of Fearful Faces. Neuroscience. 416. 190–197. 5 indexed citations
19.
Fazio, Leonardo, Giulio Pergola, Marco Papalino, et al.. (2018). Transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory. Proceedings of the National Academy of Sciences. 115(21). 5582–5587. 13 indexed citations
20.
Aiello, Marilena, et al.. (2018). Episodic memory for natural and transformed food. Cortex. 107. 13–20. 17 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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