Johannes van Dijk
- Biomedical Engineering top 2%
- Molecular Biology top 5%
- Immunology top 2%
- Epidemiology top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- R.P. LabadieMachiel J. ZwartsDick F. StegemanJ. VerhoefBernd G. LapatkiJan M.N. WillersAndré FleerCees J. Beukelman
- Topics
- Complement system in diseases (33 papers)Muscle activation and electromyography studies (31 papers)EEG and Brain-Computer Interfaces (30 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Johannes van Dijk
296 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 199
- Biomedical Engineering 1.4k
- Molecular Biology 1.4k
- Immunology 1.1k
- Epidemiology 1.0k
- Cognitive Neuroscience 874
Countries citing papers authored by Johannes van Dijk
This map shows the geographic impact of Johannes 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 Johannes 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 Johannes van Dijk more than expected).
Fields of papers citing papers by Johannes van Dijk
This network shows the impact of papers produced by Johannes 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 Johannes van Dijk. The network helps show where Johannes van Dijk may publish in the future.
Co-authorship network of co-authors of Johannes van Dijk
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes van Dijk. A scholar is included among the top collaborators of Johannes 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 Johannes van Dijk. Johannes van Dijk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 27 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 45 | |
| 12 | 131 | |
| 13 | 47 | |
| 14 | Scale-up for model verification; design, modeling and control of an elastic parallel kinematic 6-DOFs manipulator | 1 |
| 15 | Subspace based identifcation and control of one-degree-of-freedom vibration isolation set-up | 0 |
| 16 | Are AClonal@ X-chromosome inactivation patterns of T cells in MDS dependent on disease duration ? Evaluation of 117 patients with MDS | 1 |
| 17 | Analysis of clonality by HUMARA PCR in high risk MDS patients before and after intensive anti-leukemic treatment | 1 |
| 18 | 21 | |
| 19 | 10 | |
| 20 | Gids voor moderne architectuur in Nederland | 0 |
About Johannes van Dijk
Johannes van Dijk is a scholar working on Immunology, Cognitive Neuroscience and Hematology, having authored 310 papers that have together received 8.2k indexed citations. Recurring topics across this work include Complement system in diseases (33 papers), Muscle activation and electromyography studies (31 papers) and EEG and Brain-Computer Interfaces (30 papers). The work is most often cited by research in Microbiology (353 citations), Immunology (1.1k citations) and Cognitive Neuroscience (874 citations). Johannes van Dijk has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include R.P. Labadie, Machiel J. Zwarts, Dick F. Stegeman, J. Verhoef, Bernd G. Lapatki, Jan M.N. Willers, André Fleer, Cees J. Beukelman, A. Fleer and J.P.A.M. Klerx. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Blood.
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.