Karen Hensen
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Co-authors
- Jean‐Luc RummensKoen VenkenNiels HellingsPiet StinissenWim J.M. Van de VenMarianne L. VozRobert MedaerMariëlle Thewissen
- Topics
- Tissue Engineering and Regenerative Medicine (11 papers)Electrospun Nanofibers in Biomedical Applications (8 papers)T-cell and B-cell Immunology (7 papers)
- Partner nations
- BelgiumNetherlandsUnited States
In The Last Decade
Karen Hensen
31 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 93
- Immunology 725
- Molecular Biology 657
- Surgery 463
- Pathology and Forensic Medicine 366
- Oncology 318
Countries citing papers authored by Karen Hensen
This map shows the geographic impact of Karen Hensen'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 Karen Hensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Hensen more than expected).
Fields of papers citing papers by Karen Hensen
This network shows the impact of papers produced by Karen Hensen. 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 Karen Hensen. The network helps show where Karen Hensen may publish in the future.
Co-authorship network of co-authors of Karen Hensen
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Hensen. A scholar is included among the top collaborators of Karen Hensen 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 Karen Hensen. Karen Hensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 9 | |
| 3 | 31 | |
| 4 | 32 | |
| 5 | 143 | |
| 6 | 49 | |
| 7 | 34 | |
| 8 | 46 | |
| 9 | 41 | |
| 10 | 28 | |
| 11 | 8 | |
| 12 | Compromised CD4+CD25Hi regulatory T-cell function in patients with relapsing-remitting multiple sclerosis is correlated with a reduced frequency of FOXP3 positive cells and a reduced FOXP3 expression at the single-cell level | 0 |
| 13 | 205 | |
| 14 | 293 | |
| 15 | 54 | |
| 16 | Secondary progressive in contrast to relapsing: remitting multiple sclerosis patients show a normal CD4+CD25+ regulatory T cell function and FOXP3 expression | 7 |
| 17 | 153 | |
| 18 | 73 | |
| 19 | 12 | |
| 20 | 132 |
About Karen Hensen
Karen Hensen is a scholar working on Biomaterials, Genetics and Immunology, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (11 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Immunology (725 citations), Genetics (316 citations) and Pathology and Forensic Medicine (366 citations). Karen Hensen has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Jean‐Luc Rummens, Koen Venken, Niels Hellings, Piet Stinissen, Wim J.M. Van de Ven, Marianne L. Voz, Robert Medaer, Mariëlle Thewissen, Veerle Somers and Koen Kas. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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.