Frédéric Plewniak
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 15
- Glycosylation and Glycoproteins Research 5
- Machine Learning in Bioinformatics 4
- Environmental Chemistry top 5%
- Arsenic contamination and mitigation 10
- Mine drainage and remediation techniques 4
- Genetics top 10%
- Artificial Intelligence top 5%
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- Chromium effects and bioremediation 6
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- Microbial Community Ecology and Physiology 7
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- Metal Extraction and Bioleaching 5
Frédéric Plewniak
33 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.5k
- Environmental Chemistry 147
- Genetics 235
- Artificial Intelligence 232
- Health, Toxicology and Mutagenesis 98
Countries citing papers authored by Frédéric Plewniak
This map shows the geographic impact of Frédéric Plewniak'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 Frédéric Plewniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Plewniak more than expected).
Fields of papers citing papers by Frédéric Plewniak
This network shows the impact of papers produced by Frédéric Plewniak. 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 Frédéric Plewniak. The network helps show where Frédéric Plewniak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Plewniak, 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 | 2021 | 16 | |
| 2 | 2019 | 8 | |
| 3 | 2018 | 34 | |
| 4 | 2017 | 50 | |
| 5 | 2015 | 14 | |
| 6 | 2015 | 31 | |
| 7 | 2015 | 20 | |
| 8 | 2012 | 57 | |
| 9 | 2011 | 27 | |
| 10 | 2010 | 317 | |
| 11 | 2008 | 15 | |
| 12 | 2007 | 3 | |
| 13 | 2006 | 37 | |
| 14 | 2004 | 5 | |
| 15 | 2003 | 95 | |
| 16 | 2001 | 44 | |
| 17 | 2001 | 100 | |
| 18 | 2000 | 15 | |
| 19 | A comprehensive comparison of multiple sequence alignment programsbreakdown → | 1999 | 554 |
| 20 | 1999 | 343 |
About Frédéric Plewniak
Frédéric Plewniak is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis, Molecular Biology, Ecology and Biotechnology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Arsenic contamination and mitigation (10 papers), Microbial Community Ecology and Physiology (7 papers), Chromium effects and bioremediation (6 papers), Glycosylation and Glycoproteins Research (5 papers), Metal Extraction and Bioleaching (5 papers), Machine Learning in Bioinformatics (4 papers) and Mine drainage and remediation techniques (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Environmental Chemistry (147 citations), Genetics (235 citations), Artificial Intelligence (232 citations) and Health, Toxicology and Mutagenesis (98 citations). Frédéric Plewniak has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Olivier Poch, Julie Thompson, Mohamed-Amin Choukrallah, Tao Ye, Céline Keime, Làszlò Tora, Irwin Davidson, Arnaud Krebs, Philippe Bertin and Jean‐Claude Thierry. Their work appears in journals such as Nucleic Acids Research, Frontiers in Microbiology, Bioinformatics, Research in Microbiology and Environmental Microbiology.
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.