Pierre Barbera
Impact in
- Ecology top 5%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Bacteriophages and microbial interactions
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
-
- Genomics and Phylogenetic Studies 7
- Protist diversity and phylogeny 3
- Ecology 7
- Microbial Community Ecology and Physiology 5
- Environmental DNA in Biodiversity Studies 2
- Bacteriophages and microbial interactions 1
- Co-authors
- Alexandros Stamatakis (8 shared papers)Lucas Czech (8 shared papers)Alexey M. Kozlov (3 shared papers)Benoît Morel (2 shared papers)Tomáš Flouri (1 shared paper)Diego Darriba (1 shared paper)Marcos de la Peña (1 shared paper)Victor S.-Y. Lin (1 shared paper)
- Journals
- Molecular Ecology Resources (2 papers)Bioinformatics (2 papers)Molecular Biology and Evolution (1 paper)Nature (1 paper)Systematic Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Pierre Barbera
10 papers receiving 1.1k citations
Pierre Barbera's Hit Papers
Peers
Comparison fields: 5 of 117
- Ecology 528
- Endocrinology 79
- Molecular Biology 573
- Infectious Diseases 147
- Plant Science 245
Countries citing papers authored by Pierre Barbera
This map shows the geographic impact of Pierre Barbera'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 Pierre Barbera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Barbera more than expected).
Fields of papers citing papers by Pierre Barbera
This network shows the impact of papers produced by Pierre Barbera. 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 Pierre Barbera. The network helps show where Pierre Barbera may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Barbera, 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 | EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences Hit paper breakdown → | 2018 | 398 |
| 2 | Petabase-scale sequence alignment catalyses viral discovery Hit paper breakdown → | 2022 | 264 |
| 3 | Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data Hit paper breakdown → | 2020 | 216 |
| 4 | 2020 | 87 | |
| 5 | 2019 | 79 | |
| 6 | 2022 | 36 | |
| 7 | 2018 | 23 | |
| 8 | 2013 | 19 | |
| 9 | 2020 | 9 | |
| 10 | 2022 | 1 |
About Pierre Barbera
Pierre Barbera is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Paleontology and Environmental Engineering, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (5 papers), Protist diversity and phylogeny (3 papers), Environmental DNA in Biodiversity Studies (2 papers), Advanced Chemical Sensor Technologies (1 paper), Air Quality Monitoring and Forecasting (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Ecology (528 citations), Endocrinology (79 citations), Molecular Biology (573 citations), Infectious Diseases (147 citations) and Plant Science (245 citations). Pierre Barbera has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alexandros Stamatakis, Lucas Czech, Alexey M. Kozlov, Benoît Morel, Tomáš Flouri, Diego Darriba, Marcos de la Peña, Victor S.-Y. Lin, Benjamin Buchfink and Anton Korobeynikov. Their work appears in journals such as Molecular Ecology Resources, Bioinformatics, Molecular Biology and Evolution, Nature and Systematic 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.