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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- RNA Research and Splicing 8
- Receptor Mechanisms and Signaling 4
- Circular RNAs in diseases 4
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- Computational Drug Discovery Methods 14
- Co-authors
- Christian Hoppe (1 shared paper)Christoph Steinbeck (1 shared paper)Stefan Kühn (1 shared paper)Egon Willighagen (1 shared paper)Rajarshi Guha (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)Nucleic Acids Research (2 papers)Journal of Cheminformatics (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Matteo Floris
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 455
- Cancer Research 185
- Molecular Biology 763
- Pharmacology 73
- Spectroscopy 111
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 | 372 | |
| 2 | 2020 | 98 | |
| 3 | 2014 | 70 | |
| 4 | 2019 | 57 | |
| 5 | 2008 | 52 | |
| 6 | 2011 | 47 | |
| 7 | 2014 | 46 | |
| 8 | 2019 | 46 | |
| 9 | 2018 | 37 | |
| 10 | 2020 | 35 | |
| 11 | 2018 | 33 | |
| 12 | Overlapping syndromes in laminopathies: a meta-analysis of the reported literature. | 2013 | 31 |
| 13 | 2012 | 30 | |
| 14 | 2012 | 29 | |
| 15 | 2007 | 26 | |
| 16 | 2009 | 25 | |
| 17 | 2020 | 25 | |
| 18 | 2011 | 20 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 18 |
About Matteo Floris
Matteo Floris is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Spectroscopy and Cancer Research, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), RNA Research and Splicing (8 papers), Analytical Chemistry and Chromatography (6 papers), Viral Infections and Immunology Research (6 papers), MicroRNA in disease regulation (5 papers), Animal Disease Management and Epidemiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Computational Theory and Mathematics (455 citations), Cancer Research (185 citations), Molecular Biology (763 citations), Pharmacology (73 citations) and Spectroscopy (111 citations). Matteo Floris has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Christian Hoppe, Christoph Steinbeck, Stefan Kühn, Egon Willighagen, Rajarshi Guha, Stefano Moro, Maria Laura Idda, Valeria Lodde, Maristella Steri and Stefania Olla. Their work appears in journals such as Molecular Informatics, Viruses, Biomolecules, Nucleic Acids Research and Journal of Cheminformatics.
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.