Raphaël Bossart
Impact in
- Ecology top 10%
- Environmental DNA in Biodiversity Studies
- Microbial Community Ecology and Physiology
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- Species Distribution and Climate Change
Papers in
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- Identification and Quantification in Food 2
- Epigenetics and DNA Methylation 1
- Melanoma and MAPK Pathways 1
- Ecology 3
- Microbial Community Ecology and Physiology 2
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Florian Altermatt (3 shared papers)François Keck (2 shared papers)Rosetta C. Blackman (2 shared papers)Dominik Kirschner (2 shared papers)Jeanine Brantschen (2 shared papers)Marjorie Couton (2 shared papers)Heng Zhang (1 shared paper)Samuel Hürlemann (1 shared paper)
- Journals
- Molecular Ecology (2 papers)Nature Communications (1 paper)Cancer Cell (1 paper)Environmental Science & Technology (1 paper)Cell stem cell (1 paper)
- Partner nations
- SwitzerlandBelgiumUnited Kingdom
In The Last Decade
Raphaël Bossart
7 papers receiving 396 citations
Raphaël Bossart's Hit Papers
Peers
Comparison fields: 5 of 55
- Ecology 197
- Ecological Modeling 26
- Molecular Biology 265
- Cancer Research 34
- Nature and Landscape Conservation 30
Countries citing papers authored by Raphaël Bossart
This map shows the geographic impact of Raphaël Bossart'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 Raphaël Bossart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Bossart more than expected).
Fields of papers citing papers by Raphaël Bossart
This network shows the impact of papers produced by Raphaël Bossart. 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 Raphaël Bossart. The network helps show where Raphaël Bossart may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Bossart, 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 | Meta‐analysis shows both congruence and complementarity of DNA and eDNA metabarcoding to traditional methods for biological community assessment Hit paper breakdown → | 2022 | 169 |
| 2 | 2018 | 100 | |
| 3 | 2019 | 47 | |
| 4 | 2024 | 41 | |
| 5 | 2019 | 33 | |
| 6 | 2025 | 8 | |
| 7 | 2024 | 4 |
About Raphaël Bossart
Raphaël Bossart is a scholar working on Molecular Biology, Ecology, Cancer Research, Nature and Landscape Conservation and Oceanography, having authored 7 papers that have together received 402 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Identification and Quantification in Food (2 papers), Microbial Community Ecology and Physiology (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Epigenetics and DNA Methylation (1 paper), Biocrusts and Microbial Ecology (1 paper), Melanoma and MAPK Pathways (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Ecology (197 citations), Ecological Modeling (26 citations), Molecular Biology (265 citations), Cancer Research (34 citations) and Nature and Landscape Conservation (30 citations). Raphaël Bossart has collaborated with scholars based in Switzerland, Belgium and United Kingdom. Frequent co-authors include Florian Altermatt, François Keck, Rosetta C. Blackman, Dominik Kirschner, Jeanine Brantschen, Marjorie Couton, Heng Zhang, Samuel Hürlemann, Konrad Basler and Lukas Sommer. Their work appears in journals such as Molecular Ecology, Nature Communications, Cancer Cell, Environmental Science & Technology and Cell stem cell.
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.