Caroline S. de Brouwer
- Transplantation top 5%
- Infectious Diseases top 5%
- Parvovirus B19 Infection Studies 7
- Oncology top 10%
- Polyomavirus and related diseases 14
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research 12
- Herpesvirus Infections and Treatments 6
- Animal Science and Zoology top 5%
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- Full-Duplex Wireless Communications 11
- Energy Harvesting in Wireless Networks 4
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- Antenna Design and Analysis 4
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- Virus-based gene therapy research 3
- Co-authors
- Eric C. J. ClaasAloys C.M. KroesAnn C.T.M. VossenMariet C.W. FeltkampHerman F. WunderinkJoris I. RotmansMatthias F. C. BeersmaNoortje M. van Maarseveen
- Journals
- Journal of Clinical Virology (10 papers)Journal of Clinical Microbiology (4 papers)Transplantation (3 papers)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Caroline S. de Brouwer
30 papers receiving 835 citations
Peers
Comparison fields: 5 of 64
- Transplantation 58
- Infectious Diseases 299
- Oncology 370
- Epidemiology 435
- Animal Science and Zoology 96
Countries citing papers authored by Caroline S. de Brouwer
This map shows the geographic impact of Caroline S. de Brouwer'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 Caroline S. de Brouwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline S. de Brouwer more than expected).
Fields of papers citing papers by Caroline S. de Brouwer
This network shows the impact of papers produced by Caroline S. de Brouwer. 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 Caroline S. de Brouwer. The network helps show where Caroline S. de Brouwer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caroline S. de Brouwer, 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 | 2023 | 0 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 3 | |
| 5 | 2020 | 4 | |
| 6 | 2019 | 20 | |
| 7 | 2018 | 6 | |
| 8 | 2017 | 11 | |
| 9 | 2016 | 65 | |
| 10 | 2016 | 42 | |
| 11 | 2012 | 28 | |
| 12 | 2012 | 21 | |
| 13 | 2012 | 37 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 19 | |
| 16 | 2010 | 48 | |
| 17 | 2007 | 33 | |
| 18 | 2005 | 41 | |
| 19 | 2004 | 17 | |
| 20 | 2004 | 1 |
About Caroline S. de Brouwer
Caroline S. de Brouwer is a scholar working on Oncology, Infectious Diseases and Epidemiology, having authored 31 papers that have together received 854 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (14 papers), Cytomegalovirus and herpesvirus research (12 papers), Full-Duplex Wireless Communications (11 papers), Parvovirus B19 Infection Studies (7 papers), Herpesvirus Infections and Treatments (6 papers), Antenna Design and Analysis (4 papers), Energy Harvesting in Wireless Networks (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Transplantation (58 citations), Infectious Diseases (299 citations) and Oncology (370 citations). Caroline S. de Brouwer has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Eric C. J. Claas, Aloys C.M. Kroes, Ann C.T.M. Vossen, Mariet C.W. Feltkamp, Herman F. Wunderink, Joris I. Rotmans, Matthias F. C. Beersma, Noortje M. van Maarseveen, Els Wessels and Jayant Kalpoe. Their work appears in journals such as Journal of Clinical Virology, Journal of Clinical Microbiology, Transplantation, Open Forum Infectious Diseases and Bone Marrow Transplantation.
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.