Daniele Bertoglio

870 total citations
43 papers, 522 citations indexed

About

Daniele Bertoglio is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Daniele Bertoglio has authored 43 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Molecular Biology. Recurrent topics in Daniele Bertoglio's work include Neuroscience and Neuropharmacology Research (17 papers), Genetic Neurodegenerative Diseases (15 papers) and Medical Imaging Techniques and Applications (11 papers). Daniele Bertoglio is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Genetic Neurodegenerative Diseases (15 papers) and Medical Imaging Techniques and Applications (11 papers). Daniele Bertoglio collaborates with scholars based in Belgium, United States and Australia. Daniele Bertoglio's co-authors include Jeroen Verhaeghe, Steven Staelens, Stefanie Dedeurwaerdere, Sigrid Stroobants, Alan Miranda, Halima Amhaoul, Idrish Ali, Annemie Van der Linden, Leonie Wyffels and Celia Dominguez and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Daniele Bertoglio

36 papers receiving 521 citations

Peers

Daniele Bertoglio
Rie Hosoi Japan
Marco Fedi Australia
Laura D. Errante United States
Ryan S. O’Dell United States
Marjolein de Groot Netherlands
Victor V. Dyakin United States
Anand N. Rao United States
Daniele Bertoglio
Citations per year, relative to Daniele Bertoglio Daniele Bertoglio (= 1×) peers Guillaume Becker

Countries citing papers authored by Daniele Bertoglio

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bertoglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Bertoglio

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Bertoglio. A scholar is included among the top collaborators of Daniele Bertoglio 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 Daniele Bertoglio. Daniele Bertoglio 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.
Adhikari, Mohit H., Alan Miranda, Elisabeth Jonckers, et al.. (2025). Tracking brain maturation in vivo: functional connectivity, white matter integrity, and synaptic density in developing mice. EBioMedicine. 115. 105720–105720. 1 indexed citations
2.
3.
Miranda, Alan, et al.. (2025). Assessing non-invasive quantitative methods for [18F]SynVesT-1 PET imaging of synaptic vesicle glycoprotein 2A in the rat brain. European Journal of Nuclear Medicine and Molecular Imaging. 52(9). 3433–3443.
4.
Elvas, Filipe, Alan Miranda, Vinod Khetarpal, et al.. (2024). Preclinical validation and kinetic modelling of the SV2A PET ligand [ 18 F]UCB-J in mice. Journal of Cerebral Blood Flow & Metabolism. 45(5). 920–931.
5.
Miranda, Alan, Jeroen Verhaeghe, Filipe Elvas, et al.. (2024). Biodistribution and dosimetry of the PET radioligand [18F]CHDI-650 in mice for detection of mutant huntingtin aggregates. EJNMMI Research. 14(1). 126–126.
6.
Verhaeghe, Jeroen, Alan Miranda, Ignacio Muñoz-Sanjuán, et al.. (2024). Preclinical evaluation of the novel [18F]CHDI-650 PET ligand for non-invasive quantification of mutant huntingtin aggregates in Huntington's disease. European Journal of Nuclear Medicine and Molecular Imaging. 52(1). 122–133. 3 indexed citations
7.
Bertoglio, Daniele, Alison R. Weiss, William A. Liguore, et al.. (2023). In Vivo Cerebral Imaging of Mutant Huntingtin Aggregates Using11C-CHDI-180R PET in a Nonhuman Primate Model of Huntington Disease. Journal of Nuclear Medicine. 64(10). 1581–1587. 8 indexed citations
8.
Jonckers, Elisabeth, et al.. (2023). Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents. Journal of Neuroscience. 43(49). 8275–8293. 5 indexed citations
9.
Miranda, Alan, Daniele Bertoglio, Steven Staelens, & Jeroen Verhaeghe. (2023). Accurate image derived input function in [18F]SynVesT-1 mouse studies using isoflurane and ketamine/xylazine anesthesia. EJNMMI Physics. 10(1). 78–78. 1 indexed citations
10.
Miranda, Alan, et al.. (2023). Isoflurane and ketamine-xylazine modify pharmacokinetics of [18F]SynVesT-1 in the mouse brain. Journal of Cerebral Blood Flow & Metabolism. 43(9). 1612–1624. 3 indexed citations
11.
Miranda, Alan, et al.. (2022). Identification of pre-synaptic density networks using [11C]UCB-J PET imaging and ICA in mice. NeuroImage. 264. 119771–119771. 3 indexed citations
12.
Bertoglio, Daniele, Alan Miranda, Sigrid Stroobants, et al.. (2022). Validation, kinetic modeling, and test-retest reproducibility of [18F]SynVesT-1 for PET imaging of synaptic vesicle glycoprotein 2A in mice. Journal of Cerebral Blood Flow & Metabolism. 42(10). 1867–1878. 15 indexed citations
13.
Miranda, Alan, Daniele Bertoglio, Sigrid Stroobants, Steven Staelens, & Jeroen Verhaeghe. (2021). Low activity [11C]raclopride kinetic modeling in the mouse brain using the spatiotemporal kernel method. Physics in Medicine and Biology. 66(11). 115005–115005. 2 indexed citations
14.
Miranda, Alan, et al.. (2020). Validation of a spatially variant resolution model for small animal brain PET studies. Biomedical Physics & Engineering Express. 6(4). 45001–45001. 20 indexed citations
15.
Bertoglio, Daniele, Elisabeth Jonckers, Idrish Ali, et al.. (2019). In vivo measurement of brain network connectivity reflects progression and intrinsic disease severity in a model of temporal lobe epilepsy. Neurobiology of Disease. 127. 45–52. 17 indexed citations
16.
Miranda, Alan, Daniele Bertoglio, Guido De Bruyne, et al.. (2018). Awake 18F-FDG PET Imaging of Memantine-Induced Brain Activation and Test–Retest in Freely Running Mice. Journal of Nuclear Medicine. 60(6). 844–850. 22 indexed citations
17.
Verhaeghe, Jeroen, Daniele Bertoglio, David Thomae, et al.. (2018). Noninvasive Relative Quantification of [11C]ABP688 PET Imaging in Mice Versus an Input Function Measured Over an Arteriovenous Shunt. Frontiers in Neurology. 9. 516–516. 21 indexed citations
18.
Bertoglio, Daniele, Jeroen Verhaeghe, Eva Santermans, et al.. (2016). Non-invasive PET imaging of brain inflammation at disease onset predicts spontaneous recurrent seizures and reflects comorbidities. Brain Behavior and Immunity. 61. 69–79. 33 indexed citations
19.
Amhaoul, Halima, Julie Hamaide, Daniele Bertoglio, et al.. (2015). Brain inflammation in a chronic epilepsy model: Evolving pattern of the translocator protein during epileptogenesis. Neurobiology of Disease. 82. 526–539. 63 indexed citations
20.
Bertoglio, Daniele, et al.. (2014). The Effect of Postretrieval Extinction of Nicotine Pavlovian Memories in Rats Trained to Self-Administer Nicotine. Nicotine & Tobacco Research. 16(12). 1599–1605. 9 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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