Dik van Leenen

5.6k citations
45 papers · 4.1k indexed · 1 hit paper · h-index 29
Topics
Genomics and Chromatin Dynamics (7 papers)Gene expression and cancer classification (6 papers)Bioinformatics and Genomic Networks (6 papers)
Partner nations
NetherlandsGermanyJapan

In The Last Decade

Dik van Leenen

45 papers receiving 4.0k citations

Hit Papers

Mammalian Cry1 and Cry2 are essential for maintenance of ...199920262008201719992505007501000

Peers

Dik van Leenen
Comparison fields: 5 of 120
  • Molecular Biology 2.2k
  • Endocrine and Autonomic Systems 962
  • Physiology 642
  • Plant Science 618
  • Cellular and Molecular Neuroscience 415
Replace Makoto Fukuda with:
Makoto Fukuda Japan
Lee F. Kolakowski United States
Sang‐Beom Seo South Korea
Rainer Waldmann France
H. Robert Horvitz United States
Jason M. Kinchen United States
Kimiko Shimizu Japan
Raj K. Pandita United States
Michael Becker-André Switzerland
Anton Bittner United States
Dik van Leenen relative to Makoto Fukuda Japan Makoto Fukuda's profile →
Citations per field
00.5×4.7×
Makoto Fukuda · 1×
Citations per year

Countries citing papers authored by Dik van Leenen

Since Specialization
Citations

This map shows the geographic impact of Dik van Leenen'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 Dik van Leenen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dik van Leenen more than expected).

Fields of papers citing papers by Dik van Leenen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dik van Leenen. 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 Dik van Leenen. The network helps show where Dik van Leenen may publish in the future.

Co-authorship network of co-authors of Dik van Leenen

This figure shows the co-authorship network connecting the top 25 collaborators of Dik van Leenen. A scholar is included among the top collaborators of Dik van Leenen 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 Dik van Leenen. Dik van Leenen 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 60
2 15
3 7
4 84
5 55
6 23
7 102
8 26
9 23
10 16
11 181
12 55
13 165
14 36
15 27
16 33
17 177
18 113
19
Mammalian Cry1 and Cry2 are essential for maintenance of circadian rhythmsbreakdown →
1101
20 21

About Dik van Leenen

Dik van Leenen is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems, having authored 45 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Aging (281 citations), Endocrine and Autonomic Systems (962 citations) and Molecular Biology (2.2k citations). Dik van Leenen has collaborated with scholars based in Netherlands, Germany and Japan. Frequent co-authors include Frank C. P. Holstege, Marian J.A. Groot Koerkamp, Patrick Kemmeren, D. Bootsma, Kumiko Kobayashi, André P. M. Eker, Akira Yasui, Jan de Wit, Jan H.J. Hoeijmakers and Masashi Takao. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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