Jef Boons
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
Papers in
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- Prion Diseases and Protein Misfolding 3
- Glycosylation and Glycoproteins Research 2
- Wnt/β-catenin signaling in development and cancer 2
- S100 Proteins and Annexins 1
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- Alzheimer's disease research and treatments 5
- Co-authors
- Ursula Lübke (9 shared papers)Jan Six (4 shared papers)J. Gheuens (7 shared papers)Marc Mercken (5 shared papers)A. Van de Voorde (4 shared papers)Jean‐Jacques Martin (3 shared papers)Marc Vandermeeren (3 shared papers)Patrick Cras (6 shared papers)
- Journals
- Acta Neuropathologica (2 papers)Experimental Neurology (1 paper)Biochemical and Biophysical Research Communications (1 paper)Journal of Neurochemistry (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- BelgiumUnited States
In The Last Decade
Jef Boons
10 papers receiving 493 citations
Peers
Comparison fields: 5 of 58
- Physiology 350
- Neurology 84
- Cellular and Molecular Neuroscience 128
- Cell Biology 92
- Neurology 70
Countries citing papers authored by Jef Boons
This map shows the geographic impact of Jef Boons'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 Jef Boons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jef Boons more than expected).
Fields of papers citing papers by Jef Boons
This network shows the impact of papers produced by Jef Boons. 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 Jef Boons. The network helps show where Jef Boons may publish in the future.
Co-authors
The 23 scholars most cited alongside Jef Boons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 309 | |
| 2 | 2005 | 60 | |
| 3 | 1992 | 45 | |
| 4 | Microtubule-associated protein tau epitopes are present in fiber lesions in diverse muscle disorders. | 1994 | 24 |
| 5 | 1998 | 23 | |
| 6 | 1991 | 15 | |
| 7 | 1990 | 12 | |
| 8 | 1992 | 10 | |
| 9 | 1991 | 5 | |
| 10 | 2004 | 3 | |
| 11 | 1985 | 1 |
About Jef Boons
Jef Boons is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 507 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Prion Diseases and Protein Misfolding (3 papers), Microtubule and mitosis dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cellular transport and secretion (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Physiology (350 citations), Neurology (84 citations), Cellular and Molecular Neuroscience (128 citations), Cell Biology (92 citations) and Neurology (70 citations). Jef Boons has collaborated with scholars based in Belgium and United States. Frequent co-authors include Ursula Lübke, Jan Six, J. Gheuens, Marc Mercken, A. Van de Voorde, Jean‐Jacques Martin, Marc Vandermeeren, Patrick Cras, Bart Van Everbroeck and M. Vandermeeren. Their work appears in journals such as Acta Neuropathologica, Experimental Neurology, Biochemical and Biophysical Research Communications, Journal of Neurochemistry and Journal of Immunological Methods.
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.