Maaike Everts
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 9
- Viral Infectious Diseases and Gene Expression in Insects 9
- Angiogenesis and VEGF in Cancer 5
- Genetics 22
- Virus-based gene therapy research 21
- Co-authors
- David T. Curiel (23 shared papers)Vladimir P. Zharov (4 shared papers)Robbert J. Kok (8 shared papers)Joel N. Glasgow (8 shared papers)Jin-Woo Kim (1 shared paper)Grietje Molema (7 shared papers)Sigrídur A. Ásgeirsdóttir (6 shared papers)Dirk K. F. Meijer (6 shared papers)
- Journals
- Gene Therapy (4 papers)Pharmaceutical Research (3 papers)Cancer Gene Therapy (2 papers)Cancer Biology & Therapy (2 papers)Nano Letters (2 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Maaike Everts
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 118
- Immunology and Allergy 159
- Genetics 658
- Biomaterials 239
- Oncology 443
- Molecular Biology 965
Countries citing papers authored by Maaike Everts
This map shows the geographic impact of Maaike Everts'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 Maaike Everts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maaike Everts more than expected).
Fields of papers citing papers by Maaike Everts
This network shows the impact of papers produced by Maaike Everts. 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 Maaike Everts. The network helps show where Maaike Everts may publish in the future.
Co-authors
The 25 scholars most cited alongside Maaike Everts, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 211 | |
| 2 | 2005 | 189 | |
| 3 | 2007 | 157 | |
| 4 | 2001 | 126 | |
| 5 | 2008 | 123 | |
| 6 | 2006 | 95 | |
| 7 | 2004 | 75 | |
| 8 | 2002 | 73 | |
| 9 | 2003 | 64 | |
| 10 | 2004 | 61 | |
| 11 | 2004 | 43 | |
| 12 | 2007 | 42 | |
| 13 | 2006 | 37 | |
| 14 | 2016 | 35 | |
| 15 | 2004 | 33 | |
| 16 | 2005 | 33 | |
| 17 | 2007 | 32 | |
| 18 | 2005 | 29 | |
| 19 | 2014 | 29 | |
| 20 | 2008 | 27 |
About Maaike Everts
Maaike Everts is a scholar working on Molecular Biology, Genetics, Oncology, Biomedical Engineering and Immunology and Allergy, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), CAR-T cell therapy research (15 papers), RNA Interference and Gene Delivery (9 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Cell Adhesion Molecules Research (7 papers), Cancer Research and Treatments (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Immunology and Allergy (159 citations), Genetics (658 citations), Biomaterials (239 citations), Oncology (443 citations) and Molecular Biology (965 citations). Maaike Everts has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David T. Curiel, Vladimir P. Zharov, Robbert J. Kok, Joel N. Glasgow, Jin-Woo Kim, Grietje Molema, Sigrídur A. Ásgeirsdóttir, Dirk K. F. Meijer, DT Curiel and Mariam A. Stoff‐Khalili. Their work appears in journals such as Gene Therapy, Pharmaceutical Research, Cancer Gene Therapy, Cancer Biology & Therapy and Nano Letters.
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.