David van Dijk
Impact in
- Neurology top 1%
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 7
- SARS-CoV-2 and COVID-19 Research 6
-
- Cell Image Analysis Techniques 6
- Co-authors
- Smita Krishnaswamy (13 shared papers)Guy Wolf (10 shared papers)Kevin R. Moon (6 shared papers)Kristina Yim (3 shared papers)Lucas B. Carey (3 shared papers)Brian Bierie (1 shared paper)Dana Pe’er (1 shared paper)Linas Mažutis (1 shared paper)
- Journals
- Nature Methods (3 papers)Nature Biotechnology (2 papers)Immunity (2 papers)Cell (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David van Dijk
57 papers receiving 6.0k citations
David van Dijk's Hit Papers
Peers
Comparison fields: 5 of 190
- Neurology 1.1k
- Infectious Diseases 1.3k
- Biophysics 348
- Immunology 935
- Neurology 360
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 58 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 | 1128 |
| 2 | Neuroinvasion of SARS-CoV-2 in human and mouse brain Hit paper breakdown → | 2020 | 790 |
| 3 | Visualizing structure and transitions in high-dimensional biological data Hit paper breakdown → | 2019 | 629 |
| 4 | Distinguishing features of long COVID identified through immune profiling Hit paper breakdown → | 2023 | 474 |
| 5 | Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection Hit paper breakdown → | 2020 | 413 |
| 6 | A neutrophil activation signature predicts critical illness and mortality in COVID-19 Hit paper breakdown → | 2021 | 228 |
| 7 | 2019 | 217 | |
| 8 | 2020 | 212 | |
| 9 | 2016 | 203 | |
| 10 | 2021 | 183 | |
| 11 | 2014 | 173 | |
| 12 | 2021 | 173 | |
| 13 | 2022 | 123 | |
| 14 | 2020 | 119 | |
| 15 | 2021 | 112 | |
| 16 | 2013 | 112 | |
| 17 | 2022 | 103 | |
| 18 | 2020 | 99 | |
| 19 | 2017 | 84 | |
| 20 | 2022 | 63 |
About David van Dijk
David van Dijk is a scholar working on Infectious Diseases, Biophysics, Molecular Biology, Immunology and Neurology, having authored 58 papers that have together received 6.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (16 papers), COVID-19 Clinical Research Studies (7 papers), Cell Image Analysis Techniques (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Gene Regulatory Network Analysis (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Computational Drug Discovery Methods (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Neurology (1.1k citations), Infectious Diseases (1.3k citations), Biophysics (348 citations), Immunology (935 citations) and Neurology (360 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, Lucas B. Carey, Brian Bierie, Dana Pe’er, Linas Mažutis, Pooja Kathail and Roshan Sharma. Their work appears in journals such as Nature Methods, Nature Biotechnology, Immunity, Cell 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.