Yves Briers
Impact in
- Microbiology top 0.2%
- Microbial infections and disease research
- Antimicrobial Peptides and Activities
- Ecology top 0.2%
- Bacteriophages and microbial interactions
Papers in
- Ecology 76
- Bacteriophages and microbial interactions 76
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- Genomics and Phylogenetic Studies 22
- RNA and protein synthesis mechanisms 15
- Co-authors
- Rob Lavigne (54 shared papers)Zuzanna Drulis‐Kawa (16 shared papers)Hans Gerstmans (11 shared papers)Agnieszka Łątka (11 shared papers)Maarten Walmagh (5 shared papers)Guido Volckaert (10 shared papers)Barbara Maciejewska (6 shared papers)Grażyna Majkowska-Skrobek (4 shared papers)
In The Last Decade
Yves Briers
105 papers receiving 5.2k citations
Yves Briers's Hit Papers
Peers
Comparison fields: 5 of 106
- Microbiology 1.3k
- Ecology 4.1k
- Molecular Medicine 653
- Endocrinology 410
- Molecular Biology 2.5k
Countries citing papers authored by Yves Briers
This map shows the geographic impact of Yves Briers'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 Yves Briers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Briers more than expected).
Fields of papers citing papers by Yves Briers
This network shows the impact of papers produced by Yves Briers. 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 Yves Briers. The network helps show where Yves Briers may publish in the future.
Co-authors
The 25 scholars most cited alongside Yves Briers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineered Endolysin-Based “Artilysins” To Combat Multidrug-Resistant Gram-Negative Pathogens Hit paper breakdown → | 2014 | 332 |
| 2 | 2017 | 293 | |
| 3 | 2014 | 173 | |
| 4 | 2007 | 165 | |
| 5 | 2017 | 155 | |
| 6 | 2015 | 151 | |
| 7 | 2019 | 136 | |
| 8 | 2011 | 127 | |
| 9 | 2016 | 120 | |
| 10 | 2018 | 113 | |
| 11 | 2012 | 111 | |
| 12 | 2019 | 107 | |
| 13 | 2019 | 106 | |
| 14 | 2020 | 104 | |
| 15 | 2016 | 102 | |
| 16 | 2016 | 97 | |
| 17 | 2015 | 95 | |
| 18 | 2004 | 87 | |
| 19 | 2012 | 87 | |
| 20 | 2016 | 84 |
About Yves Briers
Yves Briers is a scholar working on Ecology, Molecular Biology, Genetics, Microbiology and Food Science, having authored 106 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (76 papers), Bacterial Genetics and Biotechnology (22 papers), Genomics and Phylogenetic Studies (22 papers), RNA and protein synthesis mechanisms (15 papers), Probiotics and Fermented Foods (15 papers), Microbial infections and disease research (11 papers), Antimicrobial Peptides and Activities (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Microbiology (1.3k citations), Ecology (4.1k citations), Molecular Medicine (653 citations), Endocrinology (410 citations) and Molecular Biology (2.5k citations). Yves Briers has collaborated with scholars based in Belgium, Spain and Poland. Frequent co-authors include Rob Lavigne, Zuzanna Drulis‐Kawa, Hans Gerstmans, Agnieszka Łątka, Maarten Walmagh, Guido Volckaert, Barbara Maciejewska, Grażyna Majkowska-Skrobek, Diana Gutiérrez and Kirsten Hertveldt. Their work appears in journals such as Applied Microbiology and Biotechnology, Frontiers in Microbiology, Scientific Reports, Applied and Environmental Microbiology and PLoS ONE.
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.