Guy Baele
- Paleontology top 0.5%
- Evolution and Paleontology Studies 18
- Virology top 0.5%
- HIV Research and Treatment 11
- Ecological Modeling top 0.5%
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research 14
- Viral gastroenteritis research and epidemiology 11
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- Genomics and Phylogenetic Studies 48
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- Genetic diversity and population structure 33
- Evolution and Genetic Dynamics 16
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- COVID-19 epidemiological studies 12
- Co-authors
- Marc A. SuchardAndrew RambautAlexei J. DrummondDong XiePhilippe LemeyDaniel L. AyresTrevor BedfordAlexander V. Alekseyenko
- Journals
- Virus Evolution (20 papers)Molecular Biology and Evolution (15 papers)Systematic Biology (10 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Guy Baele
161 papers receiving 15.7k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Paleontology 1.4k
- Virology 875
- Ecology, Evolution, Behavior and Systematics 3.5k
- Ecological Modeling 750
- Infectious Diseases 3.2k
Countries citing papers authored by Guy Baele
This map shows the geographic impact of Guy Baele'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 Guy Baele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Baele more than expected).
Fields of papers citing papers by Guy Baele
This network shows the impact of papers produced by Guy Baele. 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 Guy Baele. The network helps show where Guy Baele may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guy Baele, 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 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 29 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 75 | |
| 13 | 2020 | 51 | |
| 14 | 2020 | 234 | |
| 15 | 2020 | 15 | |
| 16 | 2019 | 30 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 16 | |
| 19 | Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10breakdown → | 2018 | 2288 |
| 20 | The early spread and epidemic ignition of HIV-1 in human populationsbreakdown → | 2014 | 406 |
About Guy Baele
Guy Baele is a scholar working on Virology, Modeling and Simulation and Paleontology, having authored 167 papers that have together received 15.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (48 papers), Genetic diversity and population structure (33 papers), Evolution and Paleontology Studies (18 papers), Evolution and Genetic Dynamics (16 papers), SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 epidemiological studies (12 papers), HIV Research and Treatment (11 papers) and Viral gastroenteritis research and epidemiology (11 papers). The work is most often cited by research in Paleontology (1.4k citations), Virology (875 citations) and Ecology, Evolution, Behavior and Systematics (3.5k citations). Guy Baele has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond, Dong Xie, Philippe Lemey, Daniel L. Ayres, Trevor Bedford, Alexander V. Alekseyenko, Filip Bielejec and Steven Maere. Their work appears in journals such as Virus Evolution, Molecular Biology and Evolution, Systematic Biology, Thrombosis and Haemostasis and Nature Communications.
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.