Stijn Servaes

2.3k total citations
16 papers, 115 citations indexed

About

Stijn Servaes is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Stijn Servaes has authored 16 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Psychiatry and Mental health. Recurrent topics in Stijn Servaes's work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Stijn Servaes is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Stijn Servaes collaborates with scholars based in Canada, United States and Sweden. Stijn Servaes's co-authors include Pedro Rosa‐Neto, Tharick A. Pascoal, Arthur C. Macedo, Kaj Blennow, Cécile Tissot, Nesrine Rahmouni, Joseph Therriault, Nicholas J. Ashton, Serge Gauthier and Andréa Lessa Benedet and has published in prestigious journals such as Neurobiology of Aging, Journal of the Neurological Sciences and Journal of Nuclear Medicine.

In The Last Decade

Stijn Servaes

12 papers receiving 115 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stijn Servaes Canada 4 64 55 22 19 17 16 115
Andrés Damián Uruguay 7 43 0.7× 48 0.9× 39 1.8× 25 1.3× 52 3.1× 15 185
Catharina Prix Germany 9 48 0.8× 57 1.0× 31 1.4× 54 2.8× 15 0.9× 18 174
Daniel J. Figdore United States 8 112 1.8× 109 2.0× 12 0.5× 37 1.9× 24 1.4× 17 213
Jonathan Vöglein Germany 9 95 1.5× 62 1.1× 40 1.8× 40 2.1× 20 1.2× 19 216
Mollie Neason United Kingdom 5 28 0.4× 25 0.5× 19 0.9× 10 0.5× 31 1.8× 6 92
Lindsey Lair United States 5 114 1.8× 95 1.7× 34 1.5× 33 1.7× 45 2.6× 7 196
Imogen J. Swift United Kingdom 7 83 1.3× 32 0.6× 11 0.5× 60 3.2× 14 0.8× 8 184
Jane Douglas United Kingdom 3 51 0.8× 36 0.7× 20 0.9× 19 1.0× 25 1.5× 3 93
Julia Remnestål Sweden 7 112 1.8× 54 1.0× 14 0.6× 83 4.4× 15 0.9× 9 188
Efthymia Vokali Sweden 5 113 1.8× 36 0.7× 47 2.1× 36 1.9× 15 0.9× 6 166

Countries citing papers authored by Stijn Servaes

Since Specialization
Citations

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

Fields of papers citing papers by Stijn Servaes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stijn Servaes

This figure shows the co-authorship network connecting the top 25 collaborators of Stijn Servaes. A scholar is included among the top collaborators of Stijn Servaes 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 Stijn Servaes. Stijn Servaes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Aumont, Étienne, Brandon J. Hall, Gleb Bezgin, et al.. (2025). Optimized atlas for early tau-PET staging via native space segmentations. Neurobiology of Aging. 158. 1–10.
2.
Ashton, Nicholas J., Marco Antônio De Bastiani, Wagner S. Brum, et al.. (2025). Exploring inflammation‐related protein expression and its relationship with TSPO PET in Alzheimer's disease. Alzheimer s & Dementia. 21(4). e70171–e70171. 3 indexed citations
3.
4.
Aumont, Étienne, Marc‐André Bédard, Jaime Fernández Arias, et al.. (2024). Hippocampal atrophy over two years in relation to tau, amyloid-β and memory in older adults. Neurobiology of Aging. 146. 48–57. 3 indexed citations
5.
Therriault, Joseph, Nicholas J. Ashton, Gallen Triana‐Baltzer, et al.. (2024). Comparison of two plasma p-tau217 assays to detect and monitor Alzheimer’s pathology. EBioMedicine. 102. 105046–105046. 33 indexed citations
6.
Hosseini, Seyyed Ali, Ghasem Hajianfar, Stijn Servaes, et al.. (2024). PET radiomics-based lymphovascular invasion prediction in lung cancer using multiple segmentation and multi-machine learning algorithms. Physical and Engineering Sciences in Medicine. 47(4). 1613–1625. 1 indexed citations
7.
Hosseini, Seyyed Ali, Stijn Servaes, Joseph Therriault, et al.. (2023). Quantitative evaluation of oxygen extraction fraction (OEF) in Alzheimer's disease: A correlation with tau and amyloid pathology and cognitive status. Journal of the Neurological Sciences. 455. 121101–121101.
8.
Benedet, Andréa Lessa, Gallen Triana‐Baltzer, Guglielmo Di Molfetta, et al.. (2023). Plasma pTau217: single vs multiple phospho‐site assays.. Alzheimer s & Dementia. 19(S24). 2 indexed citations
9.
Hosseini, Seyyed Ali, Stijn Servaes, Joseph Therriault, et al.. (2023). Assessment of quantitative susceptibility mapping (QSM) and oxygen extraction fraction (OEF) in the spectrum of Alzheimer’s disease clinical presentations. Alzheimer s & Dementia. 19(S17).
10.
Hosseini, Seyyed Ali, Ghasem Hajianfar, Isaac Shiri, et al.. (2023). MRI-Based Radiomics Combined with Deep Learning for Distinguishing IDH-Mutant WHO Grade 4 Astrocytomas from IDH-Wild-Type Glioblastomas. Cancers. 15(3). 951–951. 15 indexed citations
11.
Therriault, Joseph, Andréa Lessa Benedet, Erin M. Jonaitis, et al.. (2023). Plasma biomarkers as stand‐alone tests in the diagnosis of Alzheimer’s disease. Alzheimer s & Dementia. 19(S14). 1 indexed citations
12.
Macedo, Arthur C., Cécile Tissot, Joseph Therriault, et al.. (2023). The Use of Tau PET to Stage Alzheimer Disease According to the Braak Staging Framework. Journal of Nuclear Medicine. 64(8). 1171–1178. 28 indexed citations
13.
Rahmouni, Nesrine, Marcel S. Woo, Cécile Tissot, et al.. (2023). Biomarkers disclose associations between Neuroinflammation and Synaptic Depletion in AD.. Alzheimer s & Dementia. 19(S17). 1 indexed citations
14.
Hosseini, Seyyed Ali, Ghasem Hajianfar, Stijn Servaes, et al.. (2022). Robust versus Non-Robust Radiomic features: Machine Learning Based Models for NSCLC Lymphovascular Invasion. 1–3. 2 indexed citations
15.
Gobom, Johan, Andréa L. Benedet, Niklas Mattsson, et al.. (2022). Antibody-free measurement of cerebrospinal fluid tau phosphorylation across the Alzheimer’s disease continuum. Molecular Neurodegeneration. 17(1). 81–81. 25 indexed citations
16.
Therriault, Joseph, Tharick A. Pascoal, Firoza Z Lussier, et al.. (2022). Biomarker modelling of Alzheimer's disease using in vivo Braak staging. Alzheimer s & Dementia. 18(S6). 1 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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