Matteo Floris

4.4k total citations
57 papers, 1.3k citations indexed

About

Matteo Floris is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matteo Floris has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matteo Floris's work include Computational Drug Discovery Methods (14 papers), RNA Research and Splicing (8 papers) and Analytical Chemistry and Chromatography (6 papers). Matteo Floris is often cited by papers focused on Computational Drug Discovery Methods (14 papers), RNA Research and Splicing (8 papers) and Analytical Chemistry and Chromatography (6 papers). Matteo Floris collaborates with scholars based in Italy, United States and United Kingdom. Matteo Floris's co-authors include Rajarshi Guha, Christian Hoppe, Christoph Steinbeck, Egon Willighagen, Stefan Kühn, Stefano Moro, Maria Laura Idda, Valeria Lodde, Maristella Steri and Stefania Olla and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Matteo Floris

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matteo Floris Italy 19 763 455 185 117 111 57 1.3k
William D. Pennie United States 17 893 1.2× 440 1.0× 142 0.8× 155 1.3× 78 0.7× 23 1.8k
S. Frank Yan United States 20 1.3k 1.7× 260 0.6× 135 0.7× 247 2.1× 49 0.4× 33 2.2k
Jiayi Yin China 20 768 1.0× 289 0.6× 136 0.7× 52 0.4× 65 0.6× 41 1.2k
Yoshinobu Igarashi Japan 15 696 0.9× 224 0.5× 184 1.0× 92 0.8× 95 0.9× 26 1.2k
Ðắc-Trung Nguyễn United States 25 1.1k 1.4× 790 1.7× 89 0.5× 167 1.4× 73 0.7× 40 1.9k
Yongliang Yang China 23 885 1.2× 143 0.3× 191 1.0× 170 1.5× 70 0.6× 64 1.4k
Özlem Demir United States 22 1.1k 1.4× 250 0.5× 93 0.5× 125 1.1× 38 0.3× 74 1.8k
Wibke E. Diederich Germany 22 842 1.1× 184 0.4× 277 1.5× 160 1.4× 30 0.3× 55 1.6k
Hanna Axelsson Sweden 12 924 1.2× 167 0.4× 92 0.5× 105 0.9× 84 0.8× 17 1.4k

Countries citing papers authored by Matteo Floris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matteo Floris

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Floris. A scholar is included among the top collaborators of Matteo Floris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matteo Floris. Matteo Floris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cruciani, Sara, Giuseppe Garroni, Giorgia Sarais, et al.. (2024). Effect of Helichrysum italicum in Promoting Collagen Deposition and Skin Regeneration in a New Dynamic Model of Skin Wound Healing. International Journal of Molecular Sciences. 25(9). 4736–4736. 8 indexed citations
2.
Floris, Matteo, Myriam Alcalay, Annalaura Montella, et al.. (2024). Pharmacogenetics in Italy: current landscape and future prospects. Human Genomics. 18(1). 78–78. 2 indexed citations
3.
Ganau, Antonello, Marco Orrù, Matteo Floris, et al.. (2023). Echocardiographic heart ageing patterns predict cardiovascular and non-cardiovascular events and reflect biological age: the SardiNIA study. European Journal of Preventive Cardiology. 31(6). 677–685. 8 indexed citations
4.
Serra, Dolors, Emanuela Bellu, Giuseppe Garroni, et al.. (2023). Hydrolat of Helichrysum Italicum promotes tissue regeneration during wound healing. Physiological Research. 72(6). 809–818. 6 indexed citations
5.
Lodde, Valeria, Matteo Floris, Rachel Munk, et al.. (2022). Systematic identification of NF90 target RNAs by iCLIP analysis. Scientific Reports. 12(1). 364–364. 6 indexed citations
6.
Ferretti, Luca, Matteo Floris, Federica Loi, et al.. (2021). First Genomic Evidence of Dual African Swine Fever Virus Infection: Case Report from Recent and Historical Outbreaks in Sardinia. Viruses. 13(11). 2145–2145. 6 indexed citations
7.
Sanna, Daria, Fabio Scarpa, Matteo Floris, et al.. (2021). A Deeper Insight into Evolutionary Patterns and Phylogenetic History of ASFV Epidemics in Sardinia (Italy) through Extensive Genomic Sequencing. Viruses. 13(10). 1994–1994. 18 indexed citations
8.
Lodde, Valeria, Matteo Floris, Maria R. Muroni, Francesco Cucca, & Maria Laura Idda. (2021). Non‐coding RNAs in malaria infection. Wiley Interdisciplinary Reviews - RNA. 13(3). e1697–e1697. 12 indexed citations
9.
Lodde, Valeria, Matteo Floris, Isabel Beerman, et al.. (2020). Evolutionarily Selected Overexpression of the Cytokine BAFF Enhances Mucosal Immune Response Against P. falciparum. Frontiers in Immunology. 11. 575103–575103. 3 indexed citations
10.
Floris, Matteo, Daria Sanna, Paolo Castiglia, et al.. (2020). MTHFR, XRCC1 and OGG1 genetic polymorphisms in breast cancer: a case-control study in a population from North Sardinia. BMC Cancer. 20(1). 234–234. 18 indexed citations
11.
Idda, Maria Laura, et al.. (2020). Overview of the First 6 Months of Clinical Trials for COVID-19 Pharmacotherapy: The Most Studied Drugs. Frontiers in Public Health. 8. 497–497. 14 indexed citations
12.
Abdouh, Mohamed, Matteo Floris, Zu‐Hua Gao, et al.. (2019). Colorectal cancer-derived extracellular vesicles induce transformation of fibroblasts into colon carcinoma cells. Journal of Experimental & Clinical Cancer Research. 38(1). 257–257. 46 indexed citations
13.
Floris, Matteo, Stefania Olla, David Schlessinger, & Francesco Cucca. (2018). Genetic-Driven Druggable Target Identification and Validation. Trends in Genetics. 34(7). 558–570. 37 indexed citations
14.
Floris, Matteo, et al.. (2014). A generalizable definition of chemical similarity for read-across. Journal of Cheminformatics. 6(1). 39–39. 70 indexed citations
15.
Gissi, Andrea, Domenico Gadaleta, Matteo Floris, et al.. (2014). An alternative QSAR-based approach for predicting the bioconcentration factor for regulatory purposes. ALTEX. 31(1). 23–36. 46 indexed citations
16.
Piras, Ignazio S., Andrea Angius, Marco Andreani, et al.. (2014). BAT2 and BAT3 polymorphisms as novel genetic risk factors for rejection after HLA-related SCT. Bone Marrow Transplantation. 49(11). 1400–1404. 4 indexed citations
17.
Floris, Matteo, et al.. (2013). Implementing the “Best Template Searching” tool into Adenosiland platform. In Silico Pharmacology. 1(1). 25–25. 11 indexed citations
18.
Floris, Matteo, et al.. (2012). Adenosiland: Walking through adenosine receptors landscape. European Journal of Medicinal Chemistry. 58. 248–257. 29 indexed citations
19.
Floris, Matteo, Domenico Raimondo, Guido Leoni, et al.. (2011). MAISTAS: a tool for automatic structural evaluation of alternative splicing products. Bioinformatics. 27(12). 1625–1629. 12 indexed citations
20.
Pireddu, Luca, et al.. (2010). Support Vector Machine (SVM) as Alternative Tool to Assign Acute Aquatic Toxicity Warning Labels to Chemicals. Molecular Informatics. 29(1-2). 51–64. 10 indexed citations

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.

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