Matteo Brilli
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 17
- Microbial Metabolic Engineering and Bioproduction 6
- RNA and protein synthesis mechanisms 5
- Genetics 15
- Bacterial Genetics and Biotechnology 11
- Co-authors
- Renato Fani (20 shared papers)Marco Fondi (7 shared papers)Emanuele G. Biondi (11 shared papers)Alessio Mengoni (8 shared papers)Píetro Lió (8 shared papers)Marco Bazzicalupo (5 shared papers)Vivia Bruni (3 shared papers)Luigi Michaud (3 shared papers)
- Journals
- BMC Evolutionary Biology (3 papers)Parasites & Vectors (3 papers)PLoS Genetics (3 papers)Bioinformatics (2 papers)Microbial Drug Resistance (2 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Matteo Brilli
63 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Molecular Medicine 143
- Endocrinology 145
- Ecology 411
- Plant Science 524
- Molecular Biology 930
Countries citing papers authored by Matteo Brilli
This map shows the geographic impact of Matteo Brilli'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 Matteo Brilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Brilli more than expected).
Fields of papers citing papers by Matteo Brilli
This network shows the impact of papers produced by Matteo Brilli. 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 Matteo Brilli. The network helps show where Matteo Brilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Brilli, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 158 | |
| 2 | 2020 | 90 | |
| 3 | 2013 | 83 | |
| 4 | 2015 | 81 | |
| 5 | 2008 | 79 | |
| 6 | 2003 | 76 | |
| 7 | 2010 | 76 | |
| 8 | 2007 | 70 | |
| 9 | 2017 | 67 | |
| 10 | 2018 | 64 | |
| 11 | 2019 | 61 | |
| 12 | 2007 | 59 | |
| 13 | 2013 | 54 | |
| 14 | 2012 | 47 | |
| 15 | 2005 | 46 | |
| 16 | 2015 | 46 | |
| 17 | 2008 | 44 | |
| 18 | 2018 | 43 | |
| 19 | 2004 | 42 | |
| 20 | 2007 | 42 |
About Matteo Brilli
Matteo Brilli is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Molecular Medicine, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Bacterial Genetics and Biotechnology (11 papers), Microbial Community Ecology and Physiology (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Antibiotic Resistance in Bacteria (5 papers), RNA and protein synthesis mechanisms (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Molecular Medicine (143 citations), Endocrinology (145 citations), Ecology (411 citations), Plant Science (524 citations) and Molecular Biology (930 citations). Matteo Brilli has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Renato Fani, Marco Fondi, Emanuele G. Biondi, Alessio Mengoni, Píetro Lió, Marco Bazzicalupo, Vivia Bruni, Luigi Michaud, Angelina Lo Giudice and Lorenzo Ferri. Their work appears in journals such as BMC Evolutionary Biology, Parasites & Vectors, PLoS Genetics, Bioinformatics and Microbial Drug Resistance.
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.