Kees van der Werf
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Protein Structure and Dynamics 2
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- Alzheimer's disease research and treatments 3
- Co-authors
- Vinod Subramaniam (5 shared papers)Martin L. Bennink (3 shared papers)Ine Segers‐Nolten (2 shared papers)Iryna Benilova (2 shared papers)Frédéric Rousseau (2 shared papers)Joost Schymkowitz (2 shared papers)Annelies Vandersteen (2 shared papers)Wim Jonckheere (2 shared papers)
- Journals
- The EMBO Journal (1 paper)Journal of Colloid and Interface Science (1 paper)Finite Elements in Analysis and Design (1 paper)Journal of Biological Chemistry (1 paper)Biofabrication (1 paper)
- Partner nations
- NetherlandsBelgiumPortugal
In The Last Decade
Kees van der Werf
9 papers receiving 786 citations
Kees van der Werf's Hit Papers
Peers
Comparison fields: 5 of 97
- Physiology 432
- Biomaterials 157
- Biological Psychiatry 20
- Neurology 53
- Pharmacology 108
Countries citing papers authored by Kees van der Werf
This map shows the geographic impact of Kees van der Werf'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 Kees van der Werf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees van der Werf more than expected).
Fields of papers citing papers by Kees van der Werf
This network shows the impact of papers produced by Kees van der Werf. 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 Kees van der Werf. The network helps show where Kees van der Werf may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees van der Werf, 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 | Neurotoxicity of Alzheimer's disease Aβ peptides is induced by small changes in the Aβ42 to Aβ40 ratio Hit paper breakdown → | 2010 | 421 |
| 2 | 2011 | 155 | |
| 3 | 2012 | 75 | |
| 4 | 2012 | 38 | |
| 5 | 1996 | 33 | |
| 6 | 1998 | 23 | |
| 7 | 2007 | 22 | |
| 8 | 2004 | 19 | |
| 9 | 2007 | 13 | |
| 10 | 1999 | 0 |
About Kees van der Werf
Kees van der Werf is a scholar working on Molecular Biology, Physiology, Atomic and Molecular Physics, and Optics, Biomaterials and Cell Biology, having authored 10 papers that have together received 799 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Force Microscopy Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Polymer Surface Interaction Studies (2 papers), Marine and Offshore Engineering Studies (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Semantic Web and Ontologies (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Physiology (432 citations), Biomaterials (157 citations), Biological Psychiatry (20 citations), Neurology (53 citations) and Pharmacology (108 citations). Kees van der Werf has collaborated with scholars based in Netherlands, Belgium and Portugal. Frequent co-authors include Vinod Subramaniam, Martin L. Bennink, Ine Segers‐Nolten, Iryna Benilova, Frédéric Rousseau, Joost Schymkowitz, Annelies Vandersteen, Wim Jonckheere, Bart De Strooper and Jef Rozenski. Their work appears in journals such as The EMBO Journal, Journal of Colloid and Interface Science, Finite Elements in Analysis and Design, Journal of Biological Chemistry and Biofabrication.
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.