A. Chincarini

87.8k total citations
76 papers, 1.2k citations indexed

About

A. Chincarini is a scholar working on Psychiatry and Mental health, Physiology and Astronomy and Astrophysics. According to data from OpenAlex, A. Chincarini has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Psychiatry and Mental health, 24 papers in Physiology and 13 papers in Astronomy and Astrophysics. Recurrent topics in A. Chincarini's work include Dementia and Cognitive Impairment Research (25 papers), Alzheimer's disease research and treatments (22 papers) and Functional Brain Connectivity Studies (11 papers). A. Chincarini is often cited by papers focused on Dementia and Cognitive Impairment Research (25 papers), Alzheimer's disease research and treatments (22 papers) and Functional Brain Connectivity Studies (11 papers). A. Chincarini collaborates with scholars based in Italy, Sweden and Switzerland. A. Chincarini's co-authors include Flavio Nobili, G. Gemme, Silvia Morbelli, R. Bellotti, Dario Arnaldi, Paolo Bosco, Matteo Bauckneht, P. Cerello, Fabrizio De Carli and L. Rei and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and Macromolecules.

In The Last Decade

A. Chincarini

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Chincarini Italy 20 342 280 251 230 223 76 1.2k
Sofia Chavez Canada 18 241 0.7× 120 0.4× 416 1.7× 590 2.6× 68 0.3× 47 1.3k
Dominique Sappey‐Marinier France 29 280 0.8× 198 0.7× 546 2.2× 1.1k 4.9× 219 1.0× 83 2.4k
Jean-Marcel Travère France 15 163 0.5× 76 0.3× 323 1.3× 377 1.6× 88 0.4× 42 1.1k
Anthonin Reilhac France 24 218 0.6× 189 0.7× 158 0.6× 1.2k 5.2× 130 0.6× 91 1.9k
Armin Biller Germany 16 199 0.6× 44 0.2× 270 1.1× 467 2.0× 238 1.1× 28 1.3k
Hiroshi Toyama Japan 27 217 0.6× 318 1.1× 267 1.1× 1.5k 6.6× 134 0.6× 195 3.2k
Benjamin A. Thomas United Kingdom 11 355 1.0× 342 1.2× 210 0.8× 985 4.3× 58 0.3× 25 1.5k
J. H. Lee United States 28 516 1.5× 127 0.5× 465 1.9× 1.1k 4.8× 74 0.3× 105 2.6k
Tak‐sum Wong United States 15 194 0.6× 195 0.7× 146 0.6× 799 3.5× 62 0.3× 47 1.4k
Claude Comtat France 31 160 0.5× 140 0.5× 185 0.7× 2.5k 10.8× 77 0.3× 131 3.1k

Countries citing papers authored by A. Chincarini

Since Specialization
Citations

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

Fields of papers citing papers by A. Chincarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Chincarini

This figure shows the co-authorship network connecting the top 25 collaborators of A. Chincarini. A scholar is included among the top collaborators of A. Chincarini 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 A. Chincarini. A. Chincarini 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.
Garaventa, B., et al.. (2025). Magnetic Noise Mitigation Strategies for the Einstein Telescope Infrastructure. Galaxies. 13(1). 9–9.
2.
Sensi, F., et al.. (2025). Augmenting, Not Replacing: Clinicians’ Perspectives on AI Adoption in Healthcare. Applied Sciences. 15(23). 12405–12405.
3.
Plantone, Domenico, Stefano Raffa, Pietro Mattioli, et al.. (2025). [18F]FDG PET metabolic correlates of cerebrospinal fluid TAR DNA-binding protein 43 in prodromal Alzheimer's disease. Neurobiology of Disease. 213. 107014–107014.
4.
Pravatà, Emanuele, Riccardo Navarra, Luca Carmisciano, et al.. (2024). Biometry extraction and probabilistic anatomical atlas of the anterior Visual Pathway using dedicated high-resolution 3-D MRI. Scientific Reports. 14(1). 453–453.
5.
Massa, Federico, Samir Abu‐Rumeileh, Lorenzo Barba, et al.. (2023). Cerebrospinal fluid NPTX2 changes and relationship with regional brain metabolism metrics across mild cognitive impairment due to Alzheimer's disease. Journal of Neurology. 271(4). 1999–2009. 4 indexed citations
6.
Sensi, F., L. Rei, Domenico Tortora, et al.. (2023). Towards an Automated Approach to the Semi-Quantification of [18F]F-DOPA PET in Pediatric-Type Diffuse Gliomas. Journal of Clinical Medicine. 12(8). 2765–2765. 3 indexed citations
7.
Poggiali, Davide, Matteo Pardini, Henryk Barthel, et al.. (2022). A comparison of advanced semi-quantitative amyloid PET analysis methods. European Journal of Nuclear Medicine and Molecular Imaging. 49(12). 4097–4108. 7 indexed citations
8.
Massa, Federico, A. Chincarini, Matteo Bauckneht, et al.. (2021). Added value of semiquantitative analysis of brain FDG-PET for the differentiation between MCI-Lewy bodies and MCI due to Alzheimer’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 49(4). 1263–1274. 16 indexed citations
9.
Caminiti, Silvia Paola, Arianna Sala, Luca Presotto, et al.. (2021). Validation of FDG-PET datasets of normal controls for the extraction of SPM-based brain metabolism maps. European Journal of Nuclear Medicine and Molecular Imaging. 48(8). 2486–2499. 34 indexed citations
10.
Chincarini, A., Silvia Morbelli, Matteo Bauckneht, et al.. (2020). A kinetics-based approach to amyloid PET semi-quantification. European Journal of Nuclear Medicine and Molecular Imaging. 47(9). 2175–2185. 3 indexed citations
11.
Arnaldi, Dario, A. Chincarini, Fabrizio De Carli, et al.. (2020). The fate of patients with REM sleep behavior disorder and mild cognitive impairment. Sleep Medicine. 79. 205–210. 15 indexed citations
12.
Cirone, A., I. Fiori, F. Paoletti, et al.. (2019). Investigation of magnetic noise in advanced Virgo. Classical and Quantum Gravity. 36(22). 225004–225004. 9 indexed citations
13.
Morbelli, Silvia, Matteo Bauckneht, Dario Arnaldi, et al.. (2017). 18F–FDG PET diagnostic and prognostic patterns do not overlap in Alzheimer’s disease (AD) patients at the mild cognitive impairment (MCI) stage. European Journal of Nuclear Medicine and Molecular Imaging. 44(12). 2073–2083. 24 indexed citations
14.
Pagani, Marco, Flavio Nobili, Silvia Morbelli, et al.. (2017). Early identification of MCI converting to AD: a FDG PET study. European Journal of Nuclear Medicine and Molecular Imaging. 44(12). 2042–2052. 72 indexed citations
15.
Pagani, Marco, Alessandro Giuliani, Johanna Öberg, et al.. (2016). Predicting the transition from normal aging to Alzheimer's disease: A statistical mechanistic evaluation of FDG-PET data. NeuroImage. 141. 282–290. 22 indexed citations
16.
Amoroso, Nicola, Stefania Bruno, A. Chincarini, et al.. (2015). Hippocampal unified multi-atlas network (HUMAN): protocol and scale validation of a novel segmentation tool. Physics in Medicine and Biology. 60(22). 8851–8867. 24 indexed citations
17.
Chincarini, A., F. Sensi, L. Rei, et al.. (2015). Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease. NeuroImage. 125. 834–847. 57 indexed citations
18.
Tangaro, Sabina, Nicola Amoroso, Marina Boccardi, et al.. (2014). Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and validation. Physica Medica. 30(8). 878–887. 29 indexed citations
19.
Tangaro, Sabina, Nicola Amoroso, Stefania Bruno, et al.. (2013). Active Learning Machines for Automatic Segmentation of Hippocampus in MRI.. 181–191. 4 indexed citations
20.
Monticelli, Orietta, et al.. (2009). Novel polymer nanocomposites based on polystyrene and Ti‐functionalized polyhedral silsesquioxanes. Polymers for Advanced Technologies. 21(12). 848–853. 13 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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