Margriet Van Houtte
- Infectious Diseases top 2%
- Virology top 0.5%
- Molecular Biology
- Epidemiology
- Hepatology
- Co-authors
- Stuart BloorBrendan LarderKurt HertogsVeronica MillerChristel Van den EyndeSharon D. KempRudi PauwelsSchlomo Staszewski
- Topics
- HIV Research and Treatment (20 papers)HIV/AIDS drug development and treatment (19 papers)HIV/AIDS Research and Interventions (10 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Margriet Van Houtte
17 papers receiving 796 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 797
- Virology 784
- Molecular Biology 111
- Epidemiology 67
- Hepatology 48
Countries citing papers authored by Margriet Van Houtte
This map shows the geographic impact of Margriet Van Houtte'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 Margriet Van Houtte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margriet Van Houtte more than expected).
Fields of papers citing papers by Margriet Van Houtte
This network shows the impact of papers produced by Margriet Van Houtte. 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 Margriet Van Houtte. The network helps show where Margriet Van Houtte may publish in the future.
Co-authorship network of co-authors of Margriet Van Houtte
This figure shows the co-authorship network connecting the top 25 collaborators of Margriet Van Houtte. A scholar is included among the top collaborators of Margriet Van Houtte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margriet Van Houtte. Margriet Van Houtte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 56 | |
| 3 | 36 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | NRTI resistance associated with the RT mutation K70E in HIV-1 | 3 |
| 14 | 53 | |
| 15 | Application of multiple linear regression modelling to the quantitative prediction of HIV-1 drug susceptibility phenotype from viral genotype | 2 |
| 16 | Quantitative prediction of HIV drug susceptibility from viral genotype through linear regression modelling | 2 |
| 17 | 16 | |
| 18 | 157 | |
| 19 | 102 | |
| 20 | 338 |
About Margriet Van Houtte
Margriet Van Houtte is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 20 papers that have together received 839 indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), HIV/AIDS drug development and treatment (19 papers) and HIV/AIDS Research and Interventions (10 papers). The work is most often cited by research in Virology (784 citations), Infectious Diseases (797 citations) and Hepatology (48 citations). Margriet Van Houtte has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stuart Bloor, Brendan Larder, Kurt Hertogs, Veronica Miller, Christel Van den Eynde, Sharon D. Kemp, Rudi Pauwels, Schlomo Staszewski, Timothy M. Alcorn and Marcus A. Conant. Their work appears in journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and BMC Bioinformatics.
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.