Karin Weening
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in ⓘ
- Aging 1
-
- Cellular Mechanics and Interactions 6
- Co-authors
- Pauline Schaap (6 shared papers)Marcel E. Meima (3 shared papers)Bart Vandekerckhove (9 shared papers)Glenn Goetgeluk (8 shared papers)Elisa Alvarez‐Curto (2 shared papers)Tessa Kerre (8 shared papers)Stijn De Munter (7 shared papers)Sarah Bonte (7 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Journal of Biological Chemistry (2 papers)OncoImmunology (2 papers)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Karin Weening
21 papers receiving 645 citations
Peers
Comparison fields: 5 of 74
- Immunology 227
- Cell Biology 132
- Aging 11
- Oncology 171
- Virology 25
Countries citing papers authored by Karin Weening
This map shows the geographic impact of Karin Weening'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 Karin Weening with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Weening more than expected).
Fields of papers citing papers by Karin Weening
This network shows the impact of papers produced by Karin Weening. 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 Karin Weening. The network helps show where Karin Weening may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Weening, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 111 | |
| 2 | 2018 | 101 | |
| 3 | 2002 | 75 | |
| 4 | 2019 | 65 | |
| 5 | 2017 | 37 | |
| 6 | 2007 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2006 | 25 | |
| 9 | 2017 | 23 | |
| 10 | 2010 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2017 | 20 | |
| 13 | 2003 | 20 | |
| 14 | 2012 | 19 | |
| 15 | 2001 | 17 | |
| 16 | 2023 | 12 | |
| 17 | 2016 | 9 | |
| 18 | 2003 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 5 |
About Karin Weening
Karin Weening is a scholar working on Aging, Cell Biology, Hepatology, Immunology and Oncology, having authored 22 papers that have together received 656 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Cellular Mechanics and Interactions (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Nanowire Synthesis and Applications (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Immunology (227 citations), Cell Biology (132 citations), Aging (11 citations), Oncology (171 citations) and Virology (25 citations). Karin Weening has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Pauline Schaap, Marcel E. Meima, Bart Vandekerckhove, Glenn Goetgeluk, Elisa Alvarez‐Curto, Tessa Kerre, Stijn De Munter, Sarah Bonte, Philip Meuleman and Geert Leroux‐Roels. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Biological Chemistry, OncoImmunology, Scientific Reports and Frontiers in Immunology.
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.