Guido Vanham
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 2%
- T-cell and Retrovirus Studies
- Immune cells in cancer
Papers in
- Virology 30
- HIV Research and Treatment 30
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- HIV/AIDS drug development and treatment 17
- HIV/AIDS Research and Interventions 3
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 2
- Co-authors
- Kevin K. Ariën (30 shared papers)Elsa González (6 shared papers)Eduardo Gotuzzo (6 shared papers)Kristien Verdonck (6 shared papers)Sonia Van Dooren (3 shared papers)Anne‐Mieke Vandamme (3 shared papers)Eric J. Arts (1 shared paper)Johan Míchiels (13 shared papers)
- Journals
- Retrovirology (7 papers)PLoS ONE (6 papers)Antimicrobial Agents and Chemotherapy (5 papers)AIDS (4 papers)Current HIV Research (3 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Guido Vanham
88 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 96
- Virology 645
- Immunology 572
- Microbiology 187
- Pharmaceutical Science 164
- Infectious Diseases 493
Countries citing papers authored by Guido Vanham
This map shows the geographic impact of Guido Vanham'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 Guido Vanham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Vanham more than expected).
Fields of papers citing papers by Guido Vanham
This network shows the impact of papers produced by Guido Vanham. 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 Guido Vanham. The network helps show where Guido Vanham may publish in the future.
Co-authors
The 25 scholars most cited alongside Guido Vanham, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 503 | |
| 2 | 2004 | 213 | |
| 3 | 2007 | 168 | |
| 4 | 2007 | 156 | |
| 5 | 2011 | 148 | |
| 6 | 2020 | 142 | |
| 7 | 2003 | 129 | |
| 8 | 2017 | 117 | |
| 9 | 2006 | 85 | |
| 10 | 1997 | 84 | |
| 11 | 2018 | 84 | |
| 12 | 2015 | 78 | |
| 13 | 2013 | 75 | |
| 14 | 2006 | 73 | |
| 15 | 2012 | 73 | |
| 16 | 2011 | 69 | |
| 17 | 2020 | 68 | |
| 18 | 2010 | 58 | |
| 19 | 2004 | 50 | |
| 20 | 2009 | 49 |
About Guido Vanham
Guido Vanham is a scholar working on Virology, Infectious Diseases, Immunology, Microbiology and Biomaterials, having authored 90 papers that have together received 3.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (30 papers), HIV/AIDS drug development and treatment (17 papers), T-cell and Retrovirus Studies (6 papers), HIV/AIDS Research and Interventions (3 papers), Reproductive tract infections research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Virology (645 citations), Immunology (572 citations), Microbiology (187 citations), Pharmaceutical Science (164 citations) and Infectious Diseases (493 citations). Guido Vanham has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Kevin K. Ariën, Elsa González, Eduardo Gotuzzo, Kristien Verdonck, Sonia Van Dooren, Anne‐Mieke Vandamme, Eric J. Arts, Johan Míchiels, Yven Van Herrewege and Luc Kestens. Their work appears in journals such as Retrovirology, PLoS ONE, Antimicrobial Agents and Chemotherapy, AIDS and Current HIV 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.