David van Dijk

10.9k citations
48 papers · 3.2k indexed · 3 hit papers · h-index 22
Topics
Single-cell and spatial transcriptomics (17 papers)Gene Regulatory Network Analysis (10 papers)Cell Image Analysis Techniques (7 papers)

In The Last Decade

David van Dijk

45 papers receiving 3.1k citations

Hit Papers

Recovering Gene Interactions from Single-Cell Data Using ...2018202620202023201820192020250500750

Peers

David van Dijk
Comparison fields: 5 of 166
  • Molecular Biology 2.0k
  • Immunology 586
  • Oncology 393
  • Cancer Research 367
  • Biophysics 336
Replace Peter Bankhead with:
Peter Bankhead United Kingdom
Immanuel Kwok Singapore
Smita Krishnaswamy United States
Ryan R. Brinkman Canada
Peng Qiu United States
Charles‐Antoine Dutertre Singapore
Kara L. Davis United States
Andrew Filby United Kingdom
Karl Rohr Germany
Christian M. Schürch Switzerland
David van Dijk relative to Peter Bankhead United Kingdom Peter Bankhead's profile →
Citations per field
00.5×1.5×
Peter Bankhead · 1×
Citations per year

Countries citing papers authored by David van Dijk

Since Specialization
Citations

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

Fields of papers citing papers by David van Dijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David van Dijk

This figure shows the co-authorship network connecting the top 25 collaborators of David van Dijk. A scholar is included among the top collaborators of David van Dijk 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 David van Dijk. David van Dijk 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 0
2 0
3 1
4 1
5 7
6 1
7 24
8 16
9 48
10 84
11 23
12 78
13 6
14 25
15 191
16
Visualizing structure and transitions in high-dimensional biological databreakdown →
524
17
Recovering Gene Interactions from Single-Cell Data Using Data Diffusionbreakdown →
945
18 17
19 2
20 32

About David van Dijk

David van Dijk is a scholar working on Biophysics, Virology and Molecular Biology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Gene Regulatory Network Analysis (10 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Biophysics (336 citations), Molecular Biology (2.0k citations) and Immunology (586 citations). David van Dijk has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Smita Krishnaswamy, Guy Wolf, Kevin R. Moon, Kristina Yim, Dana Pe’er, Linas Mažutis, Roshan Sharma, Brian Bierie, Pooja Kathail and Christine L. Chaffer. Their work appears in journals such as Cell, Nature Communications and Journal of Neuroscience.

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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