David Demedts

563 total citations
10 papers, 414 citations indexed

About

David Demedts is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Demedts has authored 10 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Demedts's work include Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). David Demedts is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Prion Diseases and Protein Misfolding (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). David Demedts collaborates with scholars based in Belgium, Germany and United States. David Demedts's co-authors include Fred Van Leuven, Herman Devijver, Peter Borghgraef, Benoit Lechat, Tomasz Jaworski, Sebastian Kügler, Fons Verheyen, Hans Duimel, Rik Vandenberghe and Lujia Zhou and has published in prestigious journals such as Nature, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

David Demedts

10 papers receiving 408 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Demedts 288 181 114 93 68 10 414
Ori Liraz 308 1.1× 169 0.9× 105 0.9× 76 0.8× 82 1.2× 15 470
Levi M. Smith 253 0.9× 169 0.9× 161 1.4× 90 1.0× 75 1.1× 9 405
J. Nicholas Cochran 316 1.1× 291 1.6× 139 1.2× 91 1.0× 67 1.0× 24 617
Jean-Noël Octave 335 1.2× 254 1.4× 141 1.2× 69 0.7× 108 1.6× 12 537
Kaushik Ghosal 331 1.1× 227 1.3× 156 1.4× 79 0.8× 112 1.6× 9 512
Fabrizio Biundo 234 0.8× 164 0.9× 137 1.2× 142 1.5× 65 1.0× 20 467
Alexander Waniek 253 0.9× 163 0.9× 96 0.8× 53 0.6× 62 0.9× 12 405
Maxine Nelson 278 1.0× 215 1.2× 100 0.9× 149 1.6× 48 0.7× 10 537
Celia Fernandez 228 0.8× 238 1.3× 125 1.1× 98 1.1× 42 0.6× 7 482
Yitshak I. Francis 231 0.8× 305 1.7× 117 1.0× 76 0.8× 92 1.4× 10 508

Countries citing papers authored by David Demedts

Since Specialization
Citations

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

Fields of papers citing papers by David Demedts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Demedts

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

All Works

10 of 10 papers shown
1.
Michiels, Christine, Ragna Sannerud, Bertrand Kleizen, et al.. (2021). Assembly of γ-secretase occurs through stable dimers after exit from the endoplasmic reticulum. The Journal of Cell Biology. 220(9). 9 indexed citations
2.
Tharkeshwar, Arun Kumar, David Demedts, & Wim Annaert. (2020). Superparamagnetic Nanoparticles for Lysosome Isolation to Identify Spatial Alterations in Lysosomal Protein and Lipid Composition. STAR Protocols. 1(3). 100122–100122. 12 indexed citations
3.
Barão, Soraia, Lujia Zhou, Katarzyna Adamczuk, et al.. (2013). BACE1 Levels Correlate with Phospho-Tau Levels in Human Cerebrospinal Fluid. Current Alzheimer Research. 10(7). 671–678. 23 indexed citations
4.
Meléndez‐Ferro, Miguel, Gautam N. Bijur, Fred Van Leuven, et al.. (2013). Glycogen synthase kinase‐3β (GSK3β) expression in a mouse model of Alzheimer's disease: A light and electron microscopy study. Synapse. 67(6). 313–327. 20 indexed citations
5.
Monte, Fabio Lo, Thomas Krämer, Luciana Marinelli, et al.. (2012). Identification of Glycogen Synthase Kinase-3 Inhibitors with a Selective Sting for Glycogen Synthase Kinase-3α. Journal of Medicinal Chemistry. 55(9). 4407–4424. 40 indexed citations
6.
Jaworski, Tomasz, Ilse Dewachter, Benoit Lechat, et al.. (2011). GSK-3 alpha/beta kinases and amyloid production in vivo. Nature. 480(7376). 4 indexed citations
7.
Maurin, Hervé, et al.. (2011). Early Improved and Late Defective Cognition Is Reflected by Dendritic Spines in Tau.P301L Mice. Journal of Neuroscience. 31(49). 18036–18047. 45 indexed citations
8.
Zhou, Lujia, Nathalie Brouwers, Iryna Benilova, et al.. (2011). Amyloid precursor protein mutation E682K at the alternative β‐secretase cleavage β′‐site increases Aβ generation. EMBO Molecular Medicine. 3(5). 291–302. 93 indexed citations
9.
Jaworski, Tomasz, Benoit Lechat, David Demedts, et al.. (2011). Dendritic Degeneration, Neurovascular Defects, and Inflammation Precede Neuronal Loss in a Mouse Model for Tau-Mediated Neurodegeneration. American Journal Of Pathology. 179(4). 2001–2015. 99 indexed citations
10.
Jaworski, Tomasz, Ilse Dewachter, Benoit Lechat, et al.. (2009). AAV-Tau Mediates Pyramidal Neurodegeneration by Cell-Cycle Re-Entry without Neurofibrillary Tangle Formation in Wild-Type Mice. PLoS ONE. 4(10). e7280–e7280. 69 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026