Kees C. Weijer
Impact in
- Immunology top 0.2%
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Virology top 1%
- HIV Research and Treatment
Papers in
- Immunology 45
- T-cell and B-cell Immunology 25
- T-cell and Retrovirus Studies 15
- Virology 15
- HIV Research and Treatment 15
- Co-authors
- Hergen Spits (38 shared papers)Nicolas Legrand (20 shared papers)Bianca Blom (19 shared papers)Tom Cupedo (4 shared papers)Arjen Q. Bakker (7 shared papers)Maho Nagasawa (7 shared papers)Christel H. Uíttenbogaart (5 shared papers)James P. Di Santo (8 shared papers)
- Journals
- Blood (11 papers)The Journal of Experimental Medicine (6 papers)The Journal of Immunology (5 papers)Veterinary Record (4 papers)European Journal of Immunology (3 papers)
- Partner nations
- NetherlandsFranceUnited States
In The Last Decade
Kees C. Weijer
88 papers receiving 6.4k citations
Kees C. Weijer's Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 3.6k
- Virology 717
- Hematology 610
- Animal Science and Zoology 183
- Oncology 376
Countries citing papers authored by Kees C. Weijer
This map shows the geographic impact of Kees C. 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 C. 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 C. Weijer more than expected).
Fields of papers citing papers by Kees C. Weijer
This network shows the impact of papers produced by Kees C. 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 C. Weijer. The network helps show where Kees C. Weijer may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees C. 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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human type 1 innate lymphoid cells accumulate in inflamed mucosal tissues Hit paper breakdown → | 2013 | 869 |
| 2 | 2008 | 588 | |
| 3 | 2008 | 476 | |
| 4 | 2000 | 258 | |
| 5 | 1997 | 236 | |
| 6 | 2009 | 183 | |
| 7 | 2017 | 182 | |
| 8 | 2011 | 173 | |
| 9 | 1996 | 167 | |
| 10 | 2004 | 165 | |
| 11 | 2003 | 161 | |
| 12 | 2004 | 151 | |
| 13 | 2006 | 150 | |
| 14 | 1998 | 146 | |
| 15 | 2005 | 143 | |
| 16 | 1985 | 132 | |
| 17 | 2003 | 102 | |
| 18 | 2008 | 94 | |
| 19 | 2011 | 93 | |
| 20 | 1983 | 89 |
About Kees C. Weijer
Kees C. Weijer is a scholar working on Immunology, Virology, Animal Science and Zoology, Hematology and Genetics, having authored 89 papers that have together received 6.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), HIV Research and Treatment (15 papers), T-cell and Retrovirus Studies (15 papers), Animal Virus Infections Studies (13 papers), Hematopoietic Stem Cell Transplantation (10 papers), Veterinary Oncology Research (8 papers), Mesenchymal stem cell research (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Immunology (3.6k citations), Virology (717 citations), Hematology (610 citations), Animal Science and Zoology (183 citations) and Oncology (376 citations). Kees C. 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, Veterinary Record 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.