Rob C. van Wijk
Impact in
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- Zebrafish Biomedical Research Applications
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- Tuberculosis Research and Epidemiology
Papers in
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- Tuberculosis Research and Epidemiology 6
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- Receptor Mechanisms and Signaling 4
- Co-authors
- Elke H. J. Krekels (8 shared papers)Piet H. van der Graaf (7 shared papers)Herman P. Spaink (8 shared papers)Thomas Hankemeier (4 shared papers)Ulrika S. H. Simonsson (12 shared papers)Amy C. Harms (3 shared papers)Vasudev Kantae (3 shared papers)Anita Ordas (2 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (5 papers)Scientific Reports (2 papers)iScience (2 papers)IEEE Transactions on Computational Imaging (1 paper)European Respiratory Journal (1 paper)
- Partner nations
- SwedenNetherlandsUnited States
In The Last Decade
Rob C. van Wijk
24 papers receiving 336 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 78
- Infectious Diseases 78
- Immunology 80
- Pharmacology 26
- Pharmacology 35
Countries citing papers authored by Rob C. van Wijk
This map shows the geographic impact of Rob C. van Wijk'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 Rob C. van Wijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob C. van Wijk more than expected).
Fields of papers citing papers by Rob C. van Wijk
This network shows the impact of papers produced by Rob C. van Wijk. 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 Rob C. van Wijk. The network helps show where Rob C. van Wijk may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob C. van Wijk, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 58 | |
| 2 | 2016 | 53 | |
| 3 | 2016 | 39 | |
| 4 | 2019 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2019 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Rob C. van Wijk
Rob C. van Wijk is a scholar working on Infectious Diseases, Molecular Biology, Cell Biology, Immunology and Pharmacology, having authored 26 papers that have together received 336 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Zebrafish Biomedical Research Applications (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Immune responses and vaccinations (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Cell Biology (78 citations), Infectious Diseases (78 citations), Immunology (80 citations), Pharmacology (26 citations) and Pharmacology (35 citations). Rob C. van Wijk has collaborated with scholars based in Sweden, Netherlands and United States. Frequent co-authors include Elke H. J. Krekels, Piet H. van der Graaf, Herman P. Spaink, Thomas Hankemeier, Ulrika S. H. Simonsson, Amy C. Harms, Vasudev Kantae, Anita Ordas, Andreas H. Diacon and Caryn M. Upton. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Scientific Reports, iScience, IEEE Transactions on Computational Imaging and European Respiratory Journal.
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.