Jelle Praet

1.7k total citations
33 papers, 1.2k citations indexed

About

Jelle Praet is a scholar working on Developmental Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jelle Praet has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Developmental Neuroscience, 11 papers in Neurology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jelle Praet's work include Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Mesenchymal stem cell research (7 papers). Jelle Praet is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Mesenchymal stem cell research (7 papers). Jelle Praet collaborates with scholars based in Belgium, Germany and United States. Jelle Praet's co-authors include Annemie Van der Linden, Peter Ponsaerts, Zwi Berneman, Caroline Guglielmetti, Jasmijn Daans, Marleen Verhoye, Kristien Reekmans, Nathalie De Vocht, Chloé Hoornaert and Debbie Le Blon and has published in prestigious journals such as PLoS ONE, NeuroImage and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Jelle Praet

31 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
Jelle Praet Belgium 18 393 369 295 229 216 33 1.2k
Pablo M. Paez United States 28 771 2.0× 555 1.5× 805 2.7× 623 2.7× 120 0.6× 55 2.2k
Marco Bacigaluppi Italy 23 507 1.3× 758 2.1× 568 1.9× 463 2.0× 75 0.3× 45 1.9k
Iva D. Tzvetanova United States 10 720 1.8× 527 1.4× 645 2.2× 559 2.4× 73 0.3× 11 1.7k
Sonia R. Mayoral United States 13 693 1.8× 405 1.1× 390 1.3× 379 1.7× 58 0.3× 14 1.3k
Nadine Wilczak Netherlands 24 245 0.6× 385 1.0× 473 1.6× 381 1.7× 56 0.3× 44 1.6k
Tomoko Ishibashi Japan 14 499 1.3× 281 0.8× 418 1.4× 501 2.2× 82 0.4× 40 1.4k
Catherine Colin France 17 371 0.9× 755 2.0× 410 1.4× 351 1.5× 114 0.5× 41 1.7k
Sara Ebrahimi Nasrabady Iran 11 128 0.3× 233 0.6× 332 1.1× 242 1.1× 94 0.4× 13 1.0k
Katie N. Murray United Kingdom 14 274 0.7× 420 1.1× 337 1.1× 199 0.9× 66 0.3× 15 1.1k
Celia M. Kassmann Germany 11 626 1.6× 538 1.5× 842 2.9× 500 2.2× 56 0.3× 12 1.9k

Countries citing papers authored by Jelle Praet

Since Specialization
Citations

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

Fields of papers citing papers by Jelle Praet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jelle Praet

This figure shows the co-authorship network connecting the top 25 collaborators of Jelle Praet. A scholar is included among the top collaborators of Jelle Praet 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 Jelle Praet. Jelle Praet 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
2.
Praet, Jelle, Cristoforo Comi, Dana Horáková, et al.. (2024). A future of AI-driven personalized care for people with multiple sclerosis. Frontiers in Immunology. 15. 1446748–1446748. 9 indexed citations
3.
Esposito, Giovanni, Monique Henket, Marie Winandy, et al.. (2022). AI-Based Chest CT Analysis for Rapid COVID-19 Diagnosis and Prognosis: A Practical Tool to Flag High-Risk Patients and Lower Healthcare Costs. Diagnostics. 12(7). 1608–1608. 4 indexed citations
4.
Blon, Debbie Le, Chloé Hoornaert, Jasmijn Daans, et al.. (2018). Targeted intracerebral delivery of the anti-inflammatory cytokine IL13 promotes alternative activation of both microglia and macrophages after stroke. Journal of Neuroinflammation. 15(1). 174–174. 55 indexed citations
5.
Praet, Jelle, Nikolay V. Manyakov, Leacky Muchene, et al.. (2018). Diffusion kurtosis imaging allows the early detection and longitudinal follow-up of amyloid-β-induced pathology. Alzheimer s Research & Therapy. 10(1). 1–1. 76 indexed citations
6.
Praet, Jelle, Maarten Naeyaert, Disha Shah, et al.. (2016). Magnetization transfer contrast imaging detects early white matter changes in the APP/PS1 amyloidosis mouse model. NeuroImage Clinical. 12. 85–92. 3 indexed citations
7.
Kara, Firat, Caroline Guglielmetti, Jelle Praet, et al.. (2015). Longitudinal monitoring of metabolic alterations in cuprizone mouse model of multiple sclerosis using 1H-magnetic resonance spectroscopy. NeuroImage. 114. 128–135. 32 indexed citations
8.
Praet, Jelle, Firat Kara, Caroline Guglielmetti, et al.. (2015). Cuprizone‐induced demyelination and demyelination‐associated inflammation result in different proton magnetic resonance metabolite spectra. NMR in Biomedicine. 28(4). 505–513. 18 indexed citations
9.
Guglielmetti, Caroline, Jelle Veraart, Ella Roelant, et al.. (2015). Diffusion kurtosis imaging probes cortical alterations and white matter pathology following cuprizone induced demyelination and spontaneous remyelination. NeuroImage. 125. 363–377. 110 indexed citations
10.
Costa, Roberta, Irene Bergwerf, Eva Santermans, et al.. (2015). Distinct In Vitro Properties of Embryonic and Extraembryonic Fibroblast-Like Cells are Reflected in their in Vivo Behavior following Grafting in the Adult Mouse Brain. Cell Transplantation. 24(2). 223–233. 5 indexed citations
11.
Praet, Jelle, Eva Santermans, Kristien Reekmans, et al.. (2014). Histological Characterization and Quantification of Cellular Events Following Neural and Fibroblast(-Like) Stem Cell Grafting in Healthy and Demyelinated CNS Tissue. Methods in molecular biology. 1213. 265–283. 6 indexed citations
12.
Praet, Jelle, Eva Santermans, Jasmijn Daans, et al.. (2014). Early Inflammatory Responses following Cell Grafting in the CNS Trigger Activation of the Subventricular Zone: A Proposed Model of Sequential Cellular Events. Cell Transplantation. 24(8). 1481–1492. 17 indexed citations
13.
Shah, Disha, Elisabeth Jonckers, Jelle Praet, et al.. (2014). Correction: Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis. PLoS ONE. 9(1). 1 indexed citations
15.
Reekmans, Kristien, Nathalie De Vocht, Jelle Praet, et al.. (2013). Quantitative Evaluation of Stem Cell Grafting in the Central Nervous System of Mice by In Vivo Bioluminescence Imaging and Postmortem Multicolor Histological Analysis. Methods in molecular biology. 1052. 125–141. 7 indexed citations
16.
Shah, Disha, Elisabeth Jonckers, Jelle Praet, et al.. (2013). Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis. PLoS ONE. 8(12). e84241–e84241. 54 indexed citations
18.
Vocht, Nathalie De, Kristien Reekmans, Irene Bergwerf, et al.. (2012). Multimodal Imaging of Stem Cell Implantation in the Central Nervous System of Mice. Journal of Visualized Experiments. e3906–e3906. 10 indexed citations
19.
Reekmans, Kristien, Jelle Praet, Jasmijn Daans, et al.. (2011). Current Challenges for the Advancement of Neural Stem Cell Biology and Transplantation Research. Stem Cell Reviews and Reports. 8(1). 262–278. 74 indexed citations
20.
Praet, Jelle, et al.. (1986). Bone mineral content of the spine with dual photon absorptiometry. Nuclear Medicine Communications. 7(10). 761–770. 2 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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