Arnout Voet
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment
Papers in
- Virology 16
- HIV Research and Treatment 16
-
- Biochemical and Molecular Research 14
- Protein Structure and Dynamics 12
- RNA and protein synthesis mechanisms 12
- Chemical Synthesis and Analysis 9
- Co-authors
- Kam Y. J. ZhangMarc De MaeyerZeger DebyserJeremy R. H. TameKevin J. VerstrepenFrauke ChristGang HuangGiovanni Maglia
- Journals
- Molecular Cancer Therapeutics (4 papers)Biochemical and Biophysical Research Communications (4 papers)Scientific Reports (3 papers)Nature Communications (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)
- Partner nations
- BelgiumJapanUnited States
In The Last Decade
Arnout Voet
103 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 134
- Virology 637
- Infectious Diseases 645
- Molecular Biology 1.8k
- Computational Theory and Mathematics 329
- Biotechnology 113
Countries citing papers authored by Arnout Voet
This map shows the geographic impact of Arnout Voet'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 Arnout Voet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnout Voet more than expected).
Fields of papers citing papers by Arnout Voet
This network shows the impact of papers produced by Arnout Voet. 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 Arnout Voet. The network helps show where Arnout Voet may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnout Voet, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 57 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 78 | |
| 19 | 2016 | 80 | |
| 20 | 2012 | 13 |
About Arnout Voet
Arnout Voet is a scholar working on Virology, Molecular Biology, Biotechnology, Infectious Diseases and Computational Theory and Mathematics, having authored 104 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), HIV/AIDS drug development and treatment (15 papers), Biochemical and Molecular Research (14 papers), Protein Structure and Dynamics (12 papers), RNA and protein synthesis mechanisms (12 papers), Enzyme Structure and Function (12 papers), Computational Drug Discovery Methods (10 papers) and Chemical Synthesis and Analysis (9 papers). The work is most often cited by research in Virology (637 citations), Infectious Diseases (645 citations), Molecular Biology (1.8k citations), Computational Theory and Mathematics (329 citations) and Biotechnology (113 citations). Arnout Voet has collaborated with scholars based in Belgium, Japan and United States. Frequent co-authors include Kam Y. J. Zhang, Marc De Maeyer, Zeger Debyser, Jeremy R. H. Tame, Kevin J. Verstrepen, Frauke Christ, Gang Huang, Giovanni Maglia, Hiroki Noguchi and Patrick Van Dijck. Their work appears in journals such as Molecular Cancer Therapeutics, Biochemical and Biophysical Research Communications, Scientific Reports, Nature Communications and The Journal of Steroid Biochemistry and Molecular Biology.
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.