Rik van der Kant

4.9k citations
29 papers · 3.3k indexed · 4 hit papers · h-index 19
Topics
Alzheimer's disease research and treatments (11 papers)Cellular transport and secretion (8 papers)Calcium signaling and nucleotide metabolism (6 papers)

In The Last Decade

Rik van der Kant

24 papers receiving 3.2k citations

Hit Papers

Cholesterol sensor ORP1L contacts the ER protein VAP to c...20092026201420202009201920222021100200300400500

Peers

Rik van der Kant
Comparison fields: 5 of 115
  • Molecular Biology 1.5k
  • Physiology 1.4k
  • Cell Biology 825
  • Neurology 341
  • Surgery 320
Replace Deron R. Herr with:
Deron R. Herr United States
María Dolores Ledesma Spain
Alessio Colombo Italy
King‐Ho Cheung Hong Kong
Dun‐Sheng Yang United States
Toshihiko Murayama Japan
Barry Boland Ireland
Monika Pawlik United States
Panaiyur S. Mohan United States
Qian Cai United States
Rik van der Kant relative to Deron R. Herr United States Deron R. Herr's profile →
Citations per field
00.5×1.7×
Deron R. Herr · 1×
Citations per year

Countries citing papers authored by Rik van der Kant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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