Bart De Strooper

77.3k citations
392 papers · 51.6k indexed · 22 hit papers · h-index 122

Bart De Strooper

377 papers receiving 50.9k citations

Hit Papers

Xenog...55199820262007201650010001.5k2.0k

Peers

Bart De Strooper
Comparison fields: 5 of 183
  • Physiology 28.1k
  • Neurology 6.3k
  • Biological Psychiatry 1.7k
  • Cellular and Molecular Neuroscience 9.2k
  • Pharmacology 7.6k
Replace Christian Haass with:
Christian Haass Germany
Rudolph E. Tanzi United States
Takaomi C. Saido Japan
Isidró Ferrer Spain
Sangram S. Sisodia United States
Todd E. Golde United States
Michel Goedert United Kingdom
Frank M. LaFerla United States
Takeshi Iwatsubo Japan
Khalid Iqbal United States
Bart De Strooper relative to Christian Haass Germany Christian Haass's profile →
Citations per field
00.5×1.7×
Christian Haass · 1×
Citations per year

Countries citing papers authored by Bart De Strooper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Bart De Strooper Line = papers co-authored together Bart De Strooper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20247
5 202314
6 202310
7 202144
8 202053
9 2020102
10 202049
11 201869
12 201736
13 2015144
14 2014278
15
Signature Amyloid beta Profiles Are Produced by Different gamma-Secretase Complexes
201419
16 2012289
17 201040
18 2009134
19
Neuronal differentiation of murine embryonic stem cells
20081
20
Control of Peripheral Nerve Myelination by the ß-Secretase BACE1breakdown →
2006527

About Bart De Strooper

Bart De Strooper is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience, having authored 392 papers that have together received 51.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (225 papers), Cholinesterase and Neurodegenerative Diseases (47 papers), Neuroinflammation and Neurodegeneration Mechanisms (46 papers), Computational Drug Discovery Methods (41 papers), Nuclear Receptors and Signaling (36 papers), Cellular transport and secretion (36 papers), Neuroscience and Neuropharmacology Research (35 papers) and Prion Diseases and Protein Misfolding (29 papers). The work is most often cited by research in Physiology (28.1k citations), Neurology (6.3k citations) and Biological Psychiatry (1.7k citations). Bart De Strooper has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Eric Karran, Wim Annaert, Paul Säftig, Katleen Craessaerts, Iryna Benilova, Marc Mercken, Sébastien S. Hébert, Lutgarde Serneels, Dieter Hartmann and Stephen Salloway. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, Molecular Neurodegeneration, The EMBO Journal and Neuron.

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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