David van Dijk
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Single-cell and spatial transcriptomics 17
- Gene Regulatory Network Analysis 10
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
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- Topic Modeling 3
- Co-authors
- Smita Krishnaswamy (17 shared papers)Guy Wolf (13 shared papers)Kevin R. Moon (10 shared papers)Kristina Yim (7 shared papers)Christine L. Chaffer (4 shared papers)Linas Mažutis (2 shared papers)Daniel B. Burkhardt (8 shared papers)Roshan Sharma (2 shared papers)
- Journals
- Genome Research (4 papers)Nature Methods (3 papers)Nature Biotechnology (3 papers)JCI Insight (2 papers)Biological Psychiatry (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David van Dijk
50 papers receiving 3.3k citations
David van Dijk's Hit Papers
Peers
Comparison fields: 5 of 167
- Biophysics 327
- Molecular Biology 2.0k
- Immunology 558
- Cancer Research 328
- Virology 86
Countries citing papers authored by David van Dijk
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
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-authors
The 25 scholars most cited alongside David van Dijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recovering Gene Interactions from Single-Cell Data Using Data Diffusion Hit paper breakdown → | 2018 | 996 |
| 2 | Visualizing structure and transitions in high-dimensional biological data Hit paper breakdown → | 2019 | 562 |
| 3 | 2019 | 202 | |
| 4 | 2016 | 193 | |
| 5 | 2020 | 185 | |
| 6 | 2013 | 116 | |
| 7 | 2020 | 110 | |
| 8 | 2022 | 90 | |
| 9 | 2021 | 89 | |
| 10 | 2020 | 88 | |
| 11 | 2014 | 84 | |
| 12 | 2017 | 78 | |
| 13 | 2015 | 63 | |
| 14 | 2022 | 54 | |
| 15 | 2019 | 49 | |
| 16 | 2013 | 47 | |
| 17 | 2015 | 40 | |
| 18 | 2015 | 35 | |
| 19 | 2010 | 32 | |
| 20 | 2023 | 29 |
About David van Dijk
David van Dijk is a scholar working on Molecular Biology, Artificial Intelligence, Biophysics, Infectious Diseases and Information Systems, having authored 53 papers that have together received 3.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), Gene Regulatory Network Analysis (10 papers), Cell Image Analysis Techniques (7 papers), Bioinformatics and Genomic Networks (4 papers), Topic Modeling (3 papers), COVID-19 Clinical Research Studies (3 papers), Functional Brain Connectivity Studies (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (327 citations), Molecular Biology (2.0k citations), Immunology (558 citations), Cancer Research (328 citations) and Virology (86 citations). David van Dijk has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Smita Krishnaswamy, Guy Wolf, Kevin R. Moon, Kristina Yim, Christine L. Chaffer, Linas Mažutis, Daniel B. Burkhardt, Roshan Sharma, Brian Bierie and Pooja Kathail. Their work appears in journals such as Genome Research, Nature Methods, Nature Biotechnology, JCI Insight and Biological Psychiatry.
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.