Matteo Brilli
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 23
- RNA and protein synthesis mechanisms 7
- Microbial Metabolic Engineering and Bioproduction 5
- Genetics 19
- Bacterial Genetics and Biotechnology 14
- Co-authors
- Renato Fani (18 shared papers)Marco Fondi (7 shared papers)Emanuele G. Biondi (10 shared papers)Alessio Mengoni (8 shared papers)Píetro Lió (6 shared papers)Marco Bazzicalupo (5 shared papers)Angelina Lo Giudice (3 shared papers)Luigi Michaud (3 shared papers)
- Journals
- BMC Evolutionary Biology (3 papers)PLoS Genetics (3 papers)Parasites & Vectors (3 papers)Planta (2 papers)Journal of Molecular Evolution (2 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Matteo Brilli
59 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 141
- Endocrinology 143
- Ecology 417
- Molecular Biology 940
- Plant Science 500
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 151 | |
| 2 | 2020 | 85 | |
| 3 | 2013 | 77 | |
| 4 | 2008 | 76 | |
| 5 | 2015 | 75 | |
| 6 | 2003 | 74 | |
| 7 | 2010 | 72 | |
| 8 | 2007 | 63 | |
| 9 | 2017 | 62 | |
| 10 | 2018 | 59 | |
| 11 | 2019 | 56 | |
| 12 | 2007 | 55 | |
| 13 | 2013 | 51 | |
| 14 | 2005 | 44 | |
| 15 | 2012 | 44 | |
| 16 | 2008 | 43 | |
| 17 | 2015 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2017 | 41 | |
| 20 | 2004 | 39 |
About Matteo Brilli
Matteo Brilli is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Molecular Medicine, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), Bacterial Genetics and Biotechnology (14 papers), Microbial Community Ecology and Physiology (8 papers), RNA and protein synthesis mechanisms (7 papers), Antibiotic Resistance in Bacteria (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Bacteriophages and microbial interactions (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Molecular Medicine (141 citations), Endocrinology (143 citations), Ecology (417 citations), Molecular Biology (940 citations) and Plant Science (500 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, Angelina Lo Giudice, Luigi Michaud, Vivia Bruni and Lorenzo Ferri. Their work appears in journals such as BMC Evolutionary Biology, PLoS Genetics, Parasites & Vectors, Planta and Journal of Molecular Evolution.
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.