Tony Vangeneugden
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 25
-
- Statistical Methods and Bayesian Inference 12
- Statistical Methods in Clinical Trials 9
- Advanced Causal Inference Techniques 6
- Statistical Methods and Inference 5
- Co-authors
- Éric Lefebvre (19 shared papers)Geert Molenberghs (20 shared papers)Martine De Pauw (11 shared papers)Sabrina Spinosa‐Guzman (9 shared papers)Helena Geys (12 shared papers)Sandra De Meyer (6 shared papers)Annouschka Laenen (12 shared papers)Richard M. W. Hoetelmans (13 shared papers)
- Journals
- AIDS (4 papers)Journal of the International AIDS Society (3 papers)Journal of Biopharmaceutical Statistics (3 papers)The Journal of Clinical Pharmacology (3 papers)Biometrics (3 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Tony Vangeneugden
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Virology 596
- Infectious Diseases 1.2k
- Emergency Medicine 241
- Hepatology 173
- Statistics and Probability 180
Countries citing papers authored by Tony Vangeneugden
This map shows the geographic impact of Tony Vangeneugden'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 Tony Vangeneugden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Vangeneugden more than expected).
Fields of papers citing papers by Tony Vangeneugden
This network shows the impact of papers produced by Tony Vangeneugden. 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 Tony Vangeneugden. The network helps show where Tony Vangeneugden may publish in the future.
Co-authors
The 25 scholars most cited alongside Tony Vangeneugden, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 285 | |
| 2 | 2007 | 262 | |
| 3 | 2007 | 148 | |
| 4 | 2008 | 122 | |
| 5 | 2005 | 94 | |
| 6 | 2007 | 93 | |
| 7 | 2007 | 72 | |
| 8 | 2009 | 68 | |
| 9 | 2004 | 60 | |
| 10 | 2009 | 47 | |
| 11 | 2009 | 46 | |
| 12 | 2002 | 43 | |
| 13 | 1998 | 42 | |
| 14 | 2008 | 39 | |
| 15 | 2009 | 39 | |
| 16 | 2009 | 38 | |
| 17 | 2010 | 37 | |
| 18 | 2005 | 37 | |
| 19 | 2008 | 30 | |
| 20 | 2008 | 29 |
About Tony Vangeneugden
Tony Vangeneugden is a scholar working on Infectious Diseases, Statistics and Probability, Hepatology, Virology and Epidemiology, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (25 papers), Statistical Methods and Bayesian Inference (12 papers), Statistical Methods in Clinical Trials (9 papers), Hepatitis C virus research (8 papers), HIV Research and Treatment (7 papers), Advanced Causal Inference Techniques (6 papers), Statistical Methods and Inference (5 papers) and Mental Health Research Topics (5 papers). The work is most often cited by research in Virology (596 citations), Infectious Diseases (1.2k citations), Emergency Medicine (241 citations), Hepatology (173 citations) and Statistics and Probability (180 citations). Tony Vangeneugden has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Éric Lefebvre, Geert Molenberghs, Martine De Pauw, Sabrina Spinosa‐Guzman, Helena Geys, Sandra De Meyer, Annouschka Laenen, Richard M. W. Hoetelmans, Els De Paepe and Vanitha Sekar. Their work appears in journals such as AIDS, Journal of the International AIDS Society, Journal of Biopharmaceutical Statistics, The Journal of Clinical Pharmacology and Biometrics.
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.