Gaia Rizzo

2.8k total citations
86 papers, 1.8k citations indexed

About

Gaia Rizzo is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, Gaia Rizzo has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Molecular Biology and 13 papers in Polymers and Plastics. Recurrent topics in Gaia Rizzo's work include Medical Imaging Techniques and Applications (20 papers), Advanced MRI Techniques and Applications (16 papers) and Polymer crystallization and properties (12 papers). Gaia Rizzo is often cited by papers focused on Medical Imaging Techniques and Applications (20 papers), Advanced MRI Techniques and Applications (16 papers) and Polymer crystallization and properties (12 papers). Gaia Rizzo collaborates with scholars based in Italy, United Kingdom and United States. Gaia Rizzo's co-authors include Alessandra Bertoldo, Mattia Veronese, Federico Turkheimer, Oliver Howes, Paolo Zanotti‐Fregonara, Peter S. Bloomfield, Stefano Fiorucci, Mattéo Tonietto, Sudhakar Selvaraj and G. Titomanlio and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Gaia Rizzo

77 papers receiving 1.8k citations

Peers

Gaia Rizzo
Gaia Rizzo
Citations per year, relative to Gaia Rizzo Gaia Rizzo (= 1×) peers Radosław Rola

Countries citing papers authored by Gaia Rizzo

Since Specialization
Citations

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

Fields of papers citing papers by Gaia Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaia Rizzo

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Rizzo. A scholar is included among the top collaborators of Gaia Rizzo 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 Gaia Rizzo. Gaia Rizzo 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.
Ridler, Khanum, Gaia Rizzo, Ethan S. Burstein, et al.. (2024). Imaging the 5-HT 2C receptor with PET: Evaluation of 5-HT 2C and 5-HT 2A affinity of pimavanserin in the primate brain. Journal of Cerebral Blood Flow & Metabolism. 45(2). 352–364.
2.
Hoon, Jan de, Koen Van Laere, Edgar Bautista, et al.. (2024). Effects on cerebral blood flow after single doses of the β2 agonist, clenbuterol, in healthy volunteers and patients with mild cognitive impairment or Parkinson's disease. British Journal of Clinical Pharmacology. 90(10). 2638–2651.
3.
Shatalina, Ekaterina, Thomas Whitehurst, Ellis Chika Onwordi, et al.. (2024). Mitochondrial complex I density is associated with IQ and cognition in cognitively healthy adults: an in vivo [18F]BCPP-EF PET study. EJNMMI Research. 14(1). 41–41. 3 indexed citations
4.
Saleem, Azeem, Syed Imran Ali Shah, Stephen Mangar, et al.. (2023). Cognitive Dysfunction in Patients Treated with Androgen Deprivation Therapy: A Multimodality Functional Imaging Study to Evaluate Neuroinflammation. SHILAP Revista de lepidopterología. 2023. 1–12. 3 indexed citations
5.
Venkataraman, Ashwin, Ayla Mansur, Gaia Rizzo, et al.. (2022). Widespread cell stress and mitochondrial dysfunction occur in patients with early Alzheimer’s disease. Science Translational Medicine. 14(658). eabk1051–eabk1051. 55 indexed citations
6.
Veronese, Mattia, Gaia Rizzo, Martín A. Belzunce, et al.. (2021). Reproducibility of findings in modern PET neuroimaging: insight from the NRM2018 grand challenge. Journal of Cerebral Blood Flow & Metabolism. 41(10). 2778–2796. 6 indexed citations
7.
Selvaggi, Pierluigi, Gaia Rizzo, Mitul A. Mehta, Federico Turkheimer, & Mattia Veronese. (2021). Integration of human whole-brain transcriptome and neuroimaging data: Practical considerations of current available methods. Journal of Neuroscience Methods. 355. 109128–109128. 11 indexed citations
8.
Sharma, Puneet, Lisa Wells, Gaia Rizzo, et al.. (2020). DREADD Activation of Pedunculopontine Cholinergic Neurons Reverses Motor Deficits and Restores Striatal Dopamine Signaling in Parkinsonian Rats. Neurotherapeutics. 17(3). 1120–1141. 21 indexed citations
9.
Onega, Mayca, Christine A. Parker, Christopher Coello, et al.. (2020). Preclinical evaluation of [18F]FB-A20FMDV2 as a selective marker for measuring αVβ6 integrin occupancy using positron emission tomography in rodent lung. European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 958–966. 5 indexed citations
10.
Veronese, Mattia, Lucía Moro, Ottavia Dipasquale, et al.. (2019). Covariance statistics and network analysis of brain PET imaging studies. Scientific Reports. 9(1). 2496–2496. 40 indexed citations
11.
Selvaggi, Pierluigi, Peter C.T. Hawkins, Ottavia Dipasquale, et al.. (2018). Increased cerebral blood flow after single dose of antipsychotics in healthy volunteers depends on dopamine D2 receptor density profiles. NeuroImage. 188. 774–784. 30 indexed citations
12.
McGinnity, Colm J., Daniela A. Riaño Barros, Lula Rosso, et al.. (2017). Test-retest reproducibility of quantitative binding measures of [ 11 C]Ro15-4513, a PET ligand for GABA A receptors containing alpha5 subunits. NeuroImage. 152. 270–282. 18 indexed citations
13.
Castellaro, Marco, Gaia Rizzo, Mattéo Tonietto, et al.. (2017). A Variational Bayesian inference method for parametric imaging of PET data. NeuroImage. 150. 136–149. 22 indexed citations
14.
Raffeiner, Bernd, Enrico Grisan, Costantino Botsios, et al.. (2017). Grade and location of power Doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Lara D. Veeken. 56(8). 1320–1325. 11 indexed citations
15.
Hellyer, Peter J., Erica F. Barry, Mattia Veronese, et al.. (2017). Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain. NeuroImage. 155. 209–216. 7 indexed citations
17.
Zanotti‐Fregonara, Paolo, Claire Leroy, Gaia Rizzo, et al.. (2014). Imaging of monoamine oxidase-A in the human brain with [11C]befloxatone. Nuclear Medicine Communications. 35(12). 1254–1261. 10 indexed citations
18.
Rizzo, Gaia, Federico Turkheimer, Shiva Keihaninejad, et al.. (2011). Multi-Scale hierarchical generation of PET parametric maps: Application and testing on a [11C]DPN study. NeuroImage. 59(3). 2485–2493. 11 indexed citations
19.
Brancatelli, Giuseppe, Massimo Midiri, Gianvincenzo Sparacia, et al.. (1999). Hamartoma of the urinary bladder: case report and review of the literature. European Radiology. 9(1). 42–44. 8 indexed citations
20.
Gennusa, Maria La, et al.. (1970). Greening The School Park: Energy And Environmental RehabilitationOf A Nursery School In Palermo. WIT Transactions on Ecology and the Environment. 62.

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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