Matteo Floris
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Metabolomics and Mass Spectrometry Studies 4
- Receptor Mechanisms and Signaling 4
- RNA Research and Splicing 4
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- Computational Drug Discovery Methods 13
- Co-authors
- Rajarshi Guha (1 shared paper)Christian Hoppe (1 shared paper)Stefan Kühn (1 shared paper)Egon Willighagen (1 shared paper)Christoph Steinbeck (1 shared paper)Stefano Moro (11 shared papers)Maria Laura Idda (12 shared papers)Valeria Lodde (7 shared papers)
- Journals
- Molecular Informatics (5 papers)Viruses (3 papers)Biomolecules (2 papers)BMC Genomics (2 papers)Wiley Interdisciplinary Reviews - RNA (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Matteo Floris
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 464
- Cancer Research 167
- Molecular Biology 711
- Pharmacology 77
- Agronomy and Crop Science 69
Countries citing papers authored by Matteo Floris
This map shows the geographic impact of Matteo Floris'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 Floris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Floris more than expected).
Fields of papers citing papers by Matteo Floris
This network shows the impact of papers produced by Matteo Floris. 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 Floris. The network helps show where Matteo Floris may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Floris, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 396 | |
| 2 | 2020 | 101 | |
| 3 | 2014 | 80 | |
| 4 | 2019 | 60 | |
| 5 | 2008 | 57 | |
| 6 | 2014 | 49 | |
| 7 | 2011 | 49 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 45 | |
| 10 | 2020 | 37 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 31 | |
| 13 | Overlapping syndromes in laminopathies: a meta-analysis of the reported literature. | 2013 | 31 |
| 14 | 2012 | 30 | |
| 15 | 2007 | 26 | |
| 16 | 2020 | 26 | |
| 17 | 2009 | 25 | |
| 18 | 2011 | 23 | |
| 19 | 2020 | 21 | |
| 20 | 2020 | 19 |
About Matteo Floris
Matteo Floris is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science and Genetics, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Viral Infections and Immunology Research (6 papers), Analytical Chemistry and Chromatography (5 papers), Animal Disease Management and Epidemiology (5 papers), Vector-Borne Animal Diseases (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Receptor Mechanisms and Signaling (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Computational Theory and Mathematics (464 citations), Cancer Research (167 citations), Molecular Biology (711 citations), Pharmacology (77 citations) and Agronomy and Crop Science (69 citations). Matteo Floris has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Rajarshi Guha, Christian Hoppe, Stefan Kühn, Egon Willighagen, Christoph Steinbeck, Stefano Moro, Maria Laura Idda, Valeria Lodde, Maristella Steri and Stefania Olla. Their work appears in journals such as Molecular Informatics, Viruses, Biomolecules, BMC Genomics and Wiley Interdisciplinary Reviews - RNA.
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.