Fokke G. Terpstra
- Virology top 0.5%
- HIV Research and Treatment 9
- Immunology top 2%
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 7
- T-cell and Retrovirus Studies 6
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology 3
- Epidemiology top 10%
- Emergency Medicine top 10%
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- Virus-based gene therapy research 4
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- CAR-T cell therapy research 2
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- Embedded Systems Design Techniques 2
- Co-authors
- Frank MiedemaRené A. W. van LierRob A. GrutersBert J. M. AlCarel J.M. van NoeselA PetitP T SchellekensMatthijs Tersmette
- Journals
- European Journal of Immunology (4 papers)AIDS (3 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- NetherlandsUnited StatesFinland
In The Last Decade
Fokke G. Terpstra
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 110
- Virology 1.2k
- Immunology 949
- Infectious Diseases 561
- Epidemiology 445
- Emergency Medicine 96
Countries citing papers authored by Fokke G. Terpstra
This map shows the geographic impact of Fokke G. Terpstra'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 Fokke G. Terpstra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fokke G. Terpstra more than expected).
Fields of papers citing papers by Fokke G. Terpstra
This network shows the impact of papers produced by Fokke G. Terpstra. 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 Fokke G. Terpstra. The network helps show where Fokke G. Terpstra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fokke G. Terpstra, 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 | 2019 | 0 | |
| 2 | 2007 | 55 | |
| 3 | 2007 | 11 | |
| 4 | 2007 | 40 | |
| 5 | 2007 | 42 | |
| 6 | 2006 | 22 | |
| 7 | 2006 | 33 | |
| 8 | 2005 | 31 | |
| 9 | 2002 | 37 | |
| 10 | Modeling of Intra-task Parallelism in Sesame | 2002 | 1 |
| 11 | Rapid evaluationof instantiations of embedded systems architectures: A case study | 2001 | 3 |
| 12 | 1992 | 301 | |
| 13 | 1991 | 16 | |
| 14 | 1991 | 70 | |
| 15 | 1990 | 129 | |
| 16 | 1990 | 176 | |
| 17 | 1989 | 93 | |
| 18 | 1988 | 390 | |
| 19 | 1985 | 40 | |
| 20 | 1984 | 9 |
About Fokke G. Terpstra
Fokke G. Terpstra is a scholar working on Virology, Immunology, Hardware and Architecture, Infectious Diseases and Dermatology, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), HIV Research and Treatment (9 papers), T-cell and B-cell Immunology (7 papers), T-cell and Retrovirus Studies (6 papers), Virus-based gene therapy research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), CAR-T cell therapy research (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Virology (1.2k citations), Immunology (949 citations), Infectious Diseases (561 citations), Epidemiology (445 citations) and Emergency Medicine (96 citations). Fokke G. Terpstra has collaborated with scholars based in Netherlands, United States and Finland. Frequent co-authors include Frank Miedema, René A. W. van Lier, Rob A. Gruters, Bert J. M. Al, Carel J.M. van Noesel, A Petit, P T Schellekens, Matthijs Tersmette, Joep M. A. Lange and R. E. Y. de Goede. Their work appears in journals such as European Journal of Immunology, AIDS, Journal of Clinical Investigation, Vox Sanguinis and Biologicals.
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.