Rienk Offringa
- Immunology top 0.05%
- Immunotherapy and Immune Responses 134
- T-cell and B-cell Immunology 53
- Immune Cell Function and Interaction 51
- Oncology top 0.2%
- CAR-T cell therapy research 45
- Cancer Immunotherapy and Biomarkers 26
- Epidemiology top 0.5%
- Cervical Cancer and HPV Research 26
- Molecular Biology top 1%
- vaccines and immunoinformatics approaches 25
- Virology top 2%
-
- Virus-based gene therapy research 27
- Co-authors
- René E. M. ToesCornelis J.M. MeliefSjoerd H. van der BurgEllen I. H. van der VoortStephen P. SchoenbergerJan W. DrijfhoutGemma G. KenterGert Jan Fleuren
- Cited by
- ImmunologyOncologyEpidemiology
- Journals
- The Journal of Immunology (19 papers)International Journal of Cancer (12 papers)Cancer Research (12 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Rienk Offringa
187 papers receiving 17.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 13.8k
- Oncology 6.2k
- Epidemiology 3.2k
- Molecular Biology 5.3k
- Virology 352
Countries citing papers authored by Rienk Offringa
This map shows the geographic impact of Rienk Offringa'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 Rienk Offringa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rienk Offringa more than expected).
Fields of papers citing papers by Rienk Offringa
This network shows the impact of papers produced by Rienk Offringa. 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 Rienk Offringa. The network helps show where Rienk Offringa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rienk Offringa, 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 | 2024 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 22 | |
| 5 | 2014 | 167 | |
| 6 | 2009 | 78 | |
| 7 | 2009 | 72 | |
| 8 | Robust T-cell responses and clinical responses following long peptide vaccination against high risk HPV-16 | 2008 | 1 |
| 9 | 2007 | 31 | |
| 10 | 2007 | 218 | |
| 11 | 2007 | 37 | |
| 12 | 2007 | 19 | |
| 13 | 2005 | 35 | |
| 14 | 2004 | 33 | |
| 15 | 2004 | 27 | |
| 16 | 2002 | 75 | |
| 17 | 2001 | 57 | |
| 18 | 2001 | 130 | |
| 19 | 2000 | 38 | |
| 20 | 2000 | 28 |
About Rienk Offringa
Rienk Offringa is a scholar working on Immunology, Oncology and Virology, having authored 190 papers that have together received 17.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (134 papers), T-cell and B-cell Immunology (53 papers), Immune Cell Function and Interaction (51 papers), CAR-T cell therapy research (45 papers), Virus-based gene therapy research (27 papers), Cervical Cancer and HPV Research (26 papers), Cancer Immunotherapy and Biomarkers (26 papers) and vaccines and immunoinformatics approaches (25 papers). The work is most often cited by research in Immunology (13.8k citations), Oncology (6.2k citations) and Epidemiology (3.2k citations). Rienk Offringa has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include René E. M. Toes, Cornelis J.M. Melief, Sjoerd H. van der Burg, Ellen I. H. van der Voort, Cornelis J.M. Melief, Stephen P. Schoenberger, Cornelis J.M. Melief, Jan W. Drijfhout, Gemma G. Kenter and Gert Jan Fleuren. Their work appears in journals such as The Journal of Immunology, International Journal of Cancer, Cancer Research, The Journal of Experimental Medicine and Clinical Cancer Research.
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.