Diana Prata

3.1k total citations
57 papers, 1.5k citations indexed

About

Diana Prata is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Diana Prata has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Psychiatry and Mental health, 20 papers in Cognitive Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Diana Prata's work include Functional Brain Connectivity Studies (16 papers), Schizophrenia research and treatment (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Diana Prata is often cited by papers focused on Functional Brain Connectivity Studies (16 papers), Schizophrenia research and treatment (12 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Diana Prata collaborates with scholars based in United Kingdom, Portugal and Ireland. Diana Prata's co-authors include Philip McGuire, Andrea Mechelli, Robin Murray, David Collier, Marco Picchioni, Timothea Toulopoulou, Cynthia H.Y. Fu, Regan A. R. Gurung, Muriel Walshe and Colm McDonald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Diana Prata

52 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana Prata United Kingdom 23 591 560 359 263 233 57 1.5k
Sridevi Kalidindi United Kingdom 18 619 1.0× 566 1.0× 377 1.1× 369 1.4× 176 0.8× 35 1.4k
Annabella Di Giorgio Italy 25 796 1.3× 513 0.9× 251 0.7× 429 1.6× 266 1.1× 49 1.9k
Paolo Taurisano Italy 22 899 1.5× 480 0.9× 245 0.7× 328 1.2× 239 1.0× 78 1.8k
Raffaella Romano Italy 21 770 1.3× 532 0.9× 296 0.8× 481 1.8× 192 0.8× 43 1.8k
Axel Krug Germany 28 895 1.5× 587 1.0× 351 1.0× 272 1.0× 302 1.3× 73 1.9k
Antonio Rampino Italy 19 598 1.0× 424 0.8× 341 0.9× 562 2.1× 112 0.5× 58 1.6k
Neeraj Tandon United States 26 641 1.1× 867 1.5× 191 0.5× 186 0.7× 280 1.2× 44 1.6k
Digby Quested United Kingdom 21 617 1.0× 596 1.1× 203 0.6× 294 1.1× 145 0.6× 33 1.5k
Daniel Felsky Canada 22 458 0.8× 376 0.7× 265 0.7× 582 2.2× 372 1.6× 79 1.9k
Yongfeng Yang China 20 481 0.8× 233 0.4× 195 0.5× 273 1.0× 174 0.7× 91 1.2k

Countries citing papers authored by Diana Prata

Since Specialization
Citations

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

Fields of papers citing papers by Diana Prata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Prata

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Prata. A scholar is included among the top collaborators of Diana Prata 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 Diana Prata. Diana Prata 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.
2.
Prata, Diana, et al.. (2024). Detecting Amyloid Positivity Using Morphometric Magnetic Resonance Imaging. Journal of Alzheimer s Disease. 101(4). 1293–1305.
3.
Ferreira, Hugo Alexandre, et al.. (2023). Early diagnosis of alzheimer's disease using machine learning: a multi-diagnostic, generalizable approach. Neuroscience Applied. 2. 103733–103733. 3 indexed citations
4.
Marques, João Gama, et al.. (2023). The European Portuguese Version of the Brief Negative Symptom Scale. Psychopathology. 57(1). 76–80. 2 indexed citations
5.
Prata, Diana, et al.. (2023). Oxytocin modulates neural activity during early perceptual salience attribution. Psychoneuroendocrinology. 161. 106950–106950. 1 indexed citations
6.
Bramon, Elvira, Timothea Toulopoulou, Isabel Valli, et al.. (2022). Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation. Psychological Medicine. 52(16). 3753–3768.
7.
Prata, Diana, et al.. (2022). Neuroimaging genetics of oxytocin: A transcriptomics-informed systematic review. Neuroscience & Biobehavioral Reviews. 142. 104912–104912. 3 indexed citations
8.
Lima, César F., et al.. (2021). Cultural differences in vocal emotion recognition: a behavioural and skin conductance study in Portugal and Guinea-Bissau. Psychological Research. 86(2). 597–616. 5 indexed citations
9.
Antunes, Marília, et al.. (2021). Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder. Journal of Autism and Developmental Disorders. 52(7). 3088–3101. 9 indexed citations
10.
Cruz, Janir Nuno da, et al.. (2021). Temporal dynamics of intranasal oxytocin in human brain electrophysiology. Cerebral Cortex. 32(14). 3110–3126. 7 indexed citations
11.
Antunes, Marília, et al.. (2020). Oxytocin and vasopressin modulation of prisoner’s dilemma strategies. Journal of Psychopharmacology. 34(8). 891–900. 13 indexed citations
12.
Prata, Diana, et al.. (2019). Unravelling the genetic basis of schizophrenia and bipolar disorder with GWAS: A systematic review. Journal of Psychiatric Research. 114. 178–207. 61 indexed citations
13.
Prata, Diana, et al.. (2019). Comparing SPM12 and CAT12 segmentation pipelines: a brain tissue volume-based age and Alzheimer’s disease study. Journal of Neuroscience Methods. 334. 108565–108565. 37 indexed citations
14.
Martins, Daniel, Elvira Bramon, Timothea Toulopoulou, et al.. (2017). The impact of psychosis genome-wide associated ZNF804A variation on verbal fluency connectivity. Journal of Psychiatric Research. 98. 17–21. 8 indexed citations
15.
Martins, Daniel, Mitul A. Mehta, & Diana Prata. (2017). The “highs and lows” of the human brain on dopaminergics: Evidence from neuropharmacology. Neuroscience & Biobehavioral Reviews. 80. 351–371. 25 indexed citations
16.
Prata, Diana, Andrea Mechelli, & Shitij Kapur. (2014). Clinically meaningful biomarkers for psychosis: A systematic and quantitative review. Neuroscience & Biobehavioral Reviews. 45. 134–141. 64 indexed citations
17.
Mechelli, Andrea, Paolo Fusar‐Poli, Diana Prata, et al.. (2012). Genetic Vulnerability to Psychosis and Cortical Function: Epistatic Effects between DAAO and G72. Current Pharmaceutical Design. 18(4). 510–517. 14 indexed citations
18.
Prata, Diana, Gerome Breen, Sarah Osborne, et al.. (2009). An association study of the neuregulin 1 gene, bipolar affective disorder and psychosis. Psychiatric Genetics. 19(3). 113–116. 47 indexed citations
19.
Prata, Diana, Andrea Mechelli, Marco Picchioni, et al.. (2009). Altered Effect of Dopamine Transporter 3′UTR VNTR Genotype on Prefrontal and Striatal Function in Schizophrenia. Archives of General Psychiatry. 66(11). 1162–1162. 32 indexed citations
20.
Prata, Diana, Gerome Breen, Sarah Osborne, et al.. (2007). Association of DAO and G72(DAOA)/G30 genes with bipolar affective disorder. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 147B(6). 914–917. 42 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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