Filippo Utro
Impact in
- Horticulture top 10%
-
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
Papers in
-
- Genomics and Phylogenetic Studies 12
- Bioinformatics and Genomic Networks 11
- Gene expression and cancer classification 9
- Machine Learning in Bioinformatics 5
- Molecular Biology Techniques and Applications 5
- Genetics 11
- Genetic Mapping and Diversity in Plants and Animals 5
- Co-authors
- Raffaele Giancarlo (17 shared papers)Simona E. Rombo (4 shared papers)Niina Haiminen (10 shared papers)Laxmi Parida (26 shared papers)Erhan Bilal (2 shared papers)Aristotelis Tsirigos (1 shared paper)Dalila Scaturro (3 shared papers)Raquel Norel (2 shared papers)
- Journals
- Bioinformatics (7 papers)Cancer Research (5 papers)Scientific Reports (3 papers)BMC Bioinformatics (3 papers)BMC Genomics (3 papers)
- Partner nations
- United StatesItalyIreland
In The Last Decade
Filippo Utro
44 papers receiving 479 citations
Peers
Comparison fields: 5 of 104
- Horticulture 16
- Molecular Biology 348
- Artificial Intelligence 141
- Cancer Research 39
- Genetics 58
Countries citing papers authored by Filippo Utro
This map shows the geographic impact of Filippo Utro'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 Filippo Utro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Utro more than expected).
Fields of papers citing papers by Filippo Utro
This network shows the impact of papers produced by Filippo Utro. 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 Filippo Utro. The network helps show where Filippo Utro may publish in the future.
Co-authors
The 25 scholars most cited alongside Filippo Utro, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 86 | |
| 2 | 2009 | 64 | |
| 3 | 2008 | 40 | |
| 4 | 2013 | 40 | |
| 5 | 2011 | 30 | |
| 6 | 2016 | 21 | |
| 7 | 2014 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2015 | 15 | |
| 10 | 2021 | 14 | |
| 11 | 2012 | 12 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2012 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2008 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2015 | 6 |
About Filippo Utro
Filippo Utro is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Cancer Research and Plant Science, having authored 48 papers that have together received 490 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Bioinformatics and Genomic Networks (11 papers), Gene expression and cancer classification (9 papers), Cancer Genomics and Diagnostics (8 papers), Algorithms and Data Compression (6 papers), Machine Learning in Bioinformatics (5 papers), Molecular Biology Techniques and Applications (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Horticulture (16 citations), Molecular Biology (348 citations), Artificial Intelligence (141 citations), Cancer Research (39 citations) and Genetics (58 citations). Filippo Utro has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Raffaele Giancarlo, Simona E. Rombo, Niina Haiminen, Laxmi Parida, Erhan Bilal, Aristotelis Tsirigos, Dalila Scaturro, Raquel Norel, Yaara Goldschmidt and Omer Weissbrod. Their work appears in journals such as Bioinformatics, Cancer Research, Scientific Reports, BMC Bioinformatics and BMC Genomics.
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.