Vincent Doré

9.4k total citations · 3 hit papers
168 papers, 4.4k citations indexed

About

Vincent Doré is a scholar working on Psychiatry and Mental health, Physiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vincent Doré has authored 168 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Psychiatry and Mental health, 72 papers in Physiology and 54 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vincent Doré's work include Dementia and Cognitive Impairment Research (76 papers), Alzheimer's disease research and treatments (66 papers) and Functional Brain Connectivity Studies (35 papers). Vincent Doré is often cited by papers focused on Dementia and Cognitive Impairment Research (76 papers), Alzheimer's disease research and treatments (66 papers) and Functional Brain Connectivity Studies (35 papers). Vincent Doré collaborates with scholars based in Australia, United States and Japan. Vincent Doré's co-authors include Victor L. Villemagne, Christopher C. Rowe, Colin L. Masters, Ralph N. Martins, Samantha C. Burnham, Pierrick Bourgeat, Olivier Salvado, Christopher Fowler, James D. Doecke and Jürgen Fripp and has published in prestigious journals such as Nature, PLoS ONE and NeuroImage.

In The Last Decade

Vincent Doré

157 papers receiving 4.4k citations

Hit Papers

High performance plasma amyloid-β biomarkers for Alzheime... 2018 2026 2020 2023 2018 2018 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Doré Australia 31 2.8k 2.2k 798 788 682 168 4.4k
Tharick A. Pascoal Canada 32 2.4k 0.9× 1.8k 0.8× 620 0.8× 709 0.9× 484 0.7× 158 3.7k
Antoine Leuzy Sweden 38 2.6k 0.9× 2.1k 0.9× 718 0.9× 724 0.9× 676 1.0× 101 4.2k
Samantha C. Burnham Australia 30 2.7k 1.0× 2.2k 1.0× 779 1.0× 762 1.0× 432 0.6× 101 4.6k
Brian A. Gordon United States 33 2.6k 1.0× 2.4k 1.1× 1.6k 2.0× 746 0.9× 785 1.2× 159 5.2k
Olof Strandberg Sweden 31 2.7k 1.0× 2.3k 1.0× 1.4k 1.7× 577 0.7× 749 1.1× 87 4.3k
Samuel N. Lockhart United States 29 2.6k 0.9× 2.2k 1.0× 1.4k 1.8× 564 0.7× 947 1.4× 113 4.4k
Eric McDade United States 31 1.8k 0.6× 2.0k 0.9× 978 1.2× 449 0.6× 480 0.7× 97 4.5k
Mustafa Janabi United States 21 2.5k 0.9× 2.0k 0.9× 1.5k 1.8× 539 0.7× 756 1.1× 33 4.0k
Abhinay D. Joshi United States 25 3.3k 1.2× 3.1k 1.4× 1.3k 1.7× 590 0.7× 1.2k 1.8× 63 4.7k
Kerryn E. Pike Australia 24 3.0k 1.1× 3.2k 1.5× 1.6k 2.0× 501 0.6× 800 1.2× 82 5.1k

Countries citing papers authored by Vincent Doré

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Doré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Doré

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Doré. A scholar is included among the top collaborators of Vincent Doré 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 Vincent Doré. Vincent Doré 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.
Doecke, James D., Christopher Fowler, Vincent Doré, et al.. (2025). Multivariate models using NULISAseq and plasma p‐tau217 for staging Alzheimer's disease. Alzheimer s & Dementia. 21(10). e70793–e70793.
2.
Bondonno, Nicola P., Kevin Murray, Liezhou Zhong, et al.. (2025). Baseline habitual dietary nitrate intake and Alzheimer's Disease related neuroimaging biomarkers in the Australian Imaging, Biomarkers and Lifestyle study of ageing. The Journal of Prevention of Alzheimer s Disease. 12(6). 100161–100161. 2 indexed citations
3.
Bourgeat, Pierrick, Jürgen Fripp, Timothy Cox, et al.. (2024). DeepSUVR: Using temporal constraints to improve SUVR and Centiloid quantification. Alzheimer s & Dementia. 20(S2).
4.
Spitz, Gershon, Amelia J. Hicks, Stuart J. McDonald, et al.. (2024). Plasma biomarkers in chronic single moderate–severe traumatic brain injury. Brain. 147(11). 3690–3701. 5 indexed citations
5.
Doré, Vincent, et al.. (2024). Clinical Evidence for GLP-1 Receptor Agonists in Alzheimer’s Disease: A Systematic Review. Journal of Alzheimer s Disease Reports. 8(1). 777–789. 29 indexed citations
6.
Gogola, Alexandra, Brian J. Lopresti, Dana Tudorascu, et al.. (2023). Biostatistical Estimation of Tau Threshold Hallmarks (BETTH) Algorithm for Human Tau PET Imaging Studies. Journal of Nuclear Medicine. 64(11). 1798–1805. 8 indexed citations
7.
Jovalekic, Aleksandar, Núria Roé-Vellvé, Norman Koglin, et al.. (2023). Validation of quantitative assessment of florbetaben PET scans as an adjunct to the visual assessment across 15 software methods. European Journal of Nuclear Medicine and Molecular Imaging. 50(11). 3276–3289. 21 indexed citations
8.
Ma, Liwei, Yihan Wang, Timothy Cox, et al.. (2023). How Can We Use Mathematical Modeling of Amyloid-β in Alzheimer’s Disease Research and Clinical Practices?. Journal of Alzheimer s Disease. 97(1). 89–100. 1 indexed citations
9.
Xia, Ying, Paul Maruff, Pierrick Bourgeat, et al.. (2023). Longitudinal basal forebrain atrophy in association with amyloid‐β positivity and dementia severity. Alzheimer s & Dementia. 19(S3). 1 indexed citations
10.
Bourgeat, Pierrick, Vincent Doré, Christopher C. Rowe, et al.. (2023). A universal neocortical mask for Centiloid quantification. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(3). e12457–e12457. 4 indexed citations
11.
Rainey‐Smith, Stephanie R., Victor L. Villemagne, James D. Doecke, et al.. (2023). Physical activity and brain amyloid beta: A longitudinal analysis of cognitively unimpaired older adults. Alzheimer s & Dementia. 20(2). 1350–1359. 11 indexed citations
12.
Rainey‐Smith, Stephanie R., Victor L. Villemagne, Hamid R. Sohrabi, et al.. (2023). Self‐reported physical activity levels do not predict brain beta amyloid levels in older cognitively normal adults over time. Alzheimer s & Dementia. 19(S23). 1 indexed citations
13.
Feizpour, Azadeh, Vincent Doré, James D. Doecke, et al.. (2023). Prognostic utility of plasma p217+tau vs amyloid and tau PET in the Alzheimer’s continuum. Alzheimer s & Dementia. 19(S14). 1 indexed citations
14.
Pedrini, Steve, James D. Doecke, Eugene Hone, et al.. (2022). Plasma high‐density lipoprotein cargo is altered in Alzheimer's disease and is associated with regional brain volume. Journal of Neurochemistry. 163(1). 53–67. 13 indexed citations
15.
Hicks, Amelia J., Jennie Ponsford, Gershon Spitz, et al.. (2022). β-Amyloid and Tau Imaging in Chronic Traumatic Brain Injury. Neurology. 99(11). e1131–e1141. 16 indexed citations
17.
18.
Nakamura, Akinori, Naoki Kaneko, Victor L. Villemagne, et al.. (2018). High performance plasma amyloid-beta biomarkers for Alzheimer's disease. Nature. 554(7691). 160 indexed citations
19.
Bourgeat, Pierrick, Vincent Doré, Jürgen Fripp, et al.. (2018). Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage. 183. 387–393. 89 indexed citations
20.
Cheriet, Mohamed & Vincent Doré. (2006). Amincissement-sans-segmentation et rehaussement des images de niveau de gris par un filtre de chocs utilisant des champs de diffusion. Traitement du signal. 23(1). 79–94.

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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