Kees Weijer
- Immunology top 0.5%
- Immune Cell Function and Interaction 30
- T-cell and B-cell Immunology 28
- Immunotherapy and Immune Responses 23
- T-cell and Retrovirus Studies 7
- Virology top 1%
- HIV Research and Treatment 16
- Hematology top 2%
- Oncology top 5%
- CAR-T cell therapy research 8
- Genetics top 2%
- Virus-based gene therapy research 25
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- Veterinary Oncology Research 8
- Co-authors
- Hergen SpitsNicolas LegrandBianca BlomTom CupedoArjen Q. BakkerMaho NagasawaChristel H. UíttenbogaartJames P. Di Santo
- Cited by
- ImmunologyVirologyHematology
- Journals
- Blood (11 papers)The Journal of Experimental Medicine (6 papers)The Journal of Immunology (5 papers)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Kees Weijer
82 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 4.0k
- Virology 512
- Hematology 453
- Oncology 821
- Genetics 796
Countries citing papers authored by Kees Weijer
This map shows the geographic impact of Kees Weijer'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 Kees Weijer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees Weijer more than expected).
Fields of papers citing papers by Kees Weijer
This network shows the impact of papers produced by Kees Weijer. 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 Kees Weijer. The network helps show where Kees Weijer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kees Weijer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 43 | |
| 2 | 2018 | 8 | |
| 3 | 2016 | 8 | |
| 4 | Human type 1 innate lymphoid cells accumulate in inflamed mucosal tissuesbreakdown → | 2013 | 775 |
| 5 | 2011 | 45 | |
| 6 | 2011 | 56 | |
| 7 | 2009 | 64 | |
| 8 | 2009 | 83 | |
| 9 | 2009 | 27 | |
| 10 | 2008 | 85 | |
| 11 | 2008 | 26 | |
| 12 | 2006 | 135 | |
| 13 | 1999 | 15 | |
| 14 | 1997 | 53 | |
| 15 | 1997 | 232 | |
| 16 | 1997 | 69 | |
| 17 | 1995 | 18 | |
| 18 | 1990 | 78 | |
| 19 | 1989 | 5 | |
| 20 | 1985 | 121 |
About Kees Weijer
Kees Weijer is a scholar working on Virology, Immunology and Genetics, having authored 84 papers that have together received 5.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (28 papers), Virus-based gene therapy research (25 papers), Immunotherapy and Immune Responses (23 papers), HIV Research and Treatment (16 papers), Veterinary Oncology Research (8 papers), CAR-T cell therapy research (8 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Immunology (4.0k citations), Virology (512 citations) and Hematology (453 citations). Kees Weijer has collaborated with scholars based in Netherlands, France and United States. Frequent co-authors include Hergen Spits, Nicolas Legrand, Bianca Blom, Tom Cupedo, Arjen Q. Bakker, Maho Nagasawa, Christel H. Uíttenbogaart, James P. Di Santo, Albert D. M. E. Osterhaus and Nicholas D. Huntington. Their work appears in journals such as Blood, The Journal of Experimental Medicine, The Journal of Immunology, JNCI Journal of the National Cancer Institute and European Journal of 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.