Jacob de Vlieg
- Molecular Biology top 5%
- Computational Theory and Mathematics top 1%
- Genetics top 10%
- Immunology
- Plant Science
- Co-authors
- Wynand AlkemaTim HulsenMarkus WagenerSander B. NabuursRoss McGuireJan P.G. KlompMarijn P. A. SandersScott J. Lusher
- Topics
- Computational Drug Discovery Methods (15 papers)Protein Structure and Dynamics (7 papers)Estrogen and related hormone effects (6 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Jacob de Vlieg
37 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.5k
- Computational Theory and Mathematics 484
- Genetics 257
- Immunology 213
- Plant Science 158
Countries citing papers authored by Jacob de Vlieg
This map shows the geographic impact of Jacob de Vlieg'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 Jacob de Vlieg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob de Vlieg more than expected).
Fields of papers citing papers by Jacob de Vlieg
This network shows the impact of papers produced by Jacob de Vlieg. 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 Jacob de Vlieg. The network helps show where Jacob de Vlieg may publish in the future.
Co-authorship network of co-authors of Jacob de Vlieg
This figure shows the co-authorship network connecting the top 25 collaborators of Jacob de Vlieg. A scholar is included among the top collaborators of Jacob de Vlieg 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 Jacob de Vlieg. Jacob de Vlieg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 97 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 29 | |
| 5 | 33 | |
| 6 | 13 | |
| 7 | 21 | |
| 8 | 16 | |
| 9 | 31 | |
| 10 | 10 | |
| 11 | 93 | |
| 12 | 82 | |
| 13 | 108 | |
| 14 | 16 | |
| 15 | BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagramsbreakdown → | 1186 |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 71 | |
| 19 | 27 | |
| 20 | 11 |
About Jacob de Vlieg
Jacob de Vlieg is a scholar working on Computational Theory and Mathematics, Toxicology and Molecular Biology, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Computational Theory and Mathematics (484 citations), Molecular Biology (1.5k citations) and Aging (34 citations). Jacob de Vlieg has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Wynand Alkema, Tim Hulsen, Markus Wagener, Sander B. Nabuurs, Ross McGuire, Jan P.G. Klomp, Marijn P. A. Sanders, Scott J. Lusher, René C. van Schaik and Raoul Frijters. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Langmuir.
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.