Rik van der Kant
- Molecular Biology top 5%
- Physiology top 1%
- Cell Biology top 1%
- Neurology top 2%
- Surgery top 10%
- Co-authors
- Lawrence S.B. GoldsteinRik OssenkoppeleJacques NeefjesLennert JanssenOskar HanssonHans JanssenNuno RochaCoenraad Kuijl
- Topics
- Alzheimer's disease research and treatments (11 papers)Cellular transport and secretion (8 papers)Calcium signaling and nucleotide metabolism (6 papers)
- Cited by
- PhysiologyBiological Psychiatry
- Partner nations
- NetherlandsUnited StatesCanada
In The Last Decade
Rik van der Kant
24 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Physiology 1.4k
- Cell Biology 825
- Neurology 341
- Surgery 320
Countries citing papers authored by Rik van der Kant
This map shows the geographic impact of Rik van der Kant'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 Rik van der Kant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rik van der Kant more than expected).
Fields of papers citing papers by Rik van der Kant
This network shows the impact of papers produced by Rik van der Kant. 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 Rik van der Kant. The network helps show where Rik van der Kant may publish in the future.
Co-authorship network of co-authors of Rik van der Kant
This figure shows the co-authorship network connecting the top 25 collaborators of Rik van der Kant. A scholar is included among the top collaborators of Rik van der Kant 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 Rik van der Kant. Rik van der Kant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | The probabilistic model of Alzheimer disease: the amyloid hypothesis revisedbreakdown → | 290 |
| 8 | 86 | |
| 9 | 34 | |
| 10 | Amyloid-β-independent regulators of tau pathology in Alzheimer diseasebreakdown → | 423 |
| 11 | 231 | |
| 12 | 78 | |
| 13 | 178 | |
| 14 | 5 | |
| 15 | 43 | |
| 16 | 185 | |
| 17 | 77 | |
| 18 | 73 | |
| 19 | 160 | |
| 20 | 63 |
About Rik van der Kant
Rik van der Kant is a scholar working on Biological Psychiatry, Physiology and Physiology, having authored 29 papers that have together received 3.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Cellular transport and secretion (8 papers) and Calcium signaling and nucleotide metabolism (6 papers). The work is most often cited by research in Physiology (314 citations), Physiology (1.4k citations) and Biological Psychiatry (127 citations). Rik van der Kant has collaborated with scholars based in Netherlands, United States and Canada. Frequent co-authors include Lawrence S.B. Goldstein, Rik Ossenkoppele, Jacques Neefjes, Lennert Janssen, Oskar Hansson, Hans Janssen, Nuno Rocha, Coenraad Kuijl, Femke M. Feringa and Wilbert Zwart. Their work appears in journals such as Journal of Biological Chemistry, Neuron and The Journal of Cell Biology.
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.