Bart De Strooper
Impact in
- Physiology top 0.01%
- Alzheimer's disease research and treatments
- Neurology top 0.01%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 246
- Alzheimer's disease research and treatments 240
- Neurology 58
- Neuroinflammation and Neurodegeneration Mechanisms 50
- Co-authors
- Eric H. Karran (9 shared papers)Wim G. Annaert (46 shared papers)Paul Säftig (34 shared papers)Katleen Craessaerts (36 shared papers)Iryna Benilova (14 shared papers)Sébastien S. Hébert (16 shared papers)Marc H. Mercken (8 shared papers)Lutgarde Serneels (57 shared papers)
- Journals
- Journal of Biological Chemistry (37 papers)Alzheimer s & Dementia (19 papers)Neuron (16 papers)Cell (15 papers)The EMBO Journal (15 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Bart De Strooper
432 papers receiving 62.6k citations
Bart De Strooper's Hit Papers
Peers
Comparison fields: 5 of 183
- Physiology 30.4k
- Neurology 8.7k
- Biological Psychiatry 2.2k
- Cellular and Molecular Neuroscience 10.4k
- Developmental Neuroscience 2.1k
Countries citing papers authored by Bart De Strooper
This map shows the geographic impact of Bart De Strooper'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 Bart De Strooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart De Strooper more than expected).
Fields of papers citing papers by Bart De Strooper
This network shows the impact of papers produced by Bart De Strooper. 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 Bart De Strooper. The network helps show where Bart De Strooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart De Strooper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 440 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Alzheimer's disease Hit paper breakdown → | 2016 | 2650 |
| 2 | The amyloid cascade hypothesis for Alzheimer's disease: an appraisal for the development of therapeutics Hit paper breakdown → | 2011 | 1858 |
| 3 | A presenilin-1-dependent γ-secretase-like protease mediates release of Notch intracellular domain Hit paper breakdown → | 1999 | 1803 |
| 4 | Reactive astrocyte nomenclature, definitions, and future directions Hit paper breakdown → | 2021 | 1721 |
| 5 | The toxic Aβ oligomer and Alzheimer's disease: an emperor in need of clothes Hit paper breakdown → | 2012 | 1689 |
| 6 | Deficiency of presenilin-1 inhibits the normal cleavage of amyloid precursor protein Hit paper breakdown → | 1998 | 1544 |
| 7 | The Cellular Phase of Alzheimer’s Disease Hit paper breakdown → | 2016 | 1464 |
| 8 | OPA1 Controls Apoptotic Cristae Remodeling Independently from Mitochondrial Fusion Hit paper breakdown → | 2006 | 1390 |
| 9 | Microglia states and nomenclature: A field at its crossroads Hit paper breakdown → | 2022 | 1302 |
| 10 | Cholesterol depletion inhibits the generation of β-amyloid in hippocampal neurons Hit paper breakdown → | 1998 | 1037 |
| 11 | Loss of microRNA cluster miR-29a/b-1 in sporadic Alzheimer's disease correlates with increased BACE1/β-secretase expression Hit paper breakdown → | 2008 | 1016 |
| 12 | Aph-1, Pen-2, and Nicastrin with Presenilin Generate an Active γ-Secretase Complex Hit paper breakdown → | 2003 | 833 |
| 13 | The secretases: enzymes with therapeutic potential in Alzheimer disease Hit paper breakdown → | 2010 | 682 |
| 14 | The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques Hit paper breakdown → | 2019 | 637 |
| 15 | Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer’s Disease Hit paper breakdown → | 2020 | 636 |
| 16 | 2006 | 615 | |
| 17 | 2006 | 594 | |
| 18 | 2006 | 591 | |
| 19 | APP mouse models for Alzheimer's disease preclinical studies Hit paper breakdown → | 2017 | 574 |
| 20 | 2005 | 569 |
About Bart De Strooper
Bart De Strooper is a scholar working on Physiology, Neurology, Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology, having authored 440 papers that have together received 63.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (240 papers), Cholinesterase and Neurodegenerative Diseases (53 papers), Neuroinflammation and Neurodegeneration Mechanisms (50 papers), Computational Drug Discovery Methods (43 papers), Cellular transport and secretion (37 papers), Nuclear Receptors and Signaling (36 papers), Neuroscience and Neuropharmacology Research (36 papers) and Prion Diseases and Protein Misfolding (30 papers). The work is most often cited by research in Physiology (30.4k citations), Neurology (8.7k citations), Biological Psychiatry (2.2k citations), Cellular and Molecular Neuroscience (10.4k citations) and Developmental Neuroscience (2.1k citations). Bart De Strooper has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Eric H. Karran, Wim G. Annaert, Paul Säftig, Katleen Craessaerts, Iryna Benilova, Sébastien S. Hébert, Marc H. Mercken, Lutgarde Serneels, Stephen Salloway and Dieter Hartmann. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, Neuron, Cell and The EMBO Journal.
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.