Claudio Mirabello
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
Papers in
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- Protein Structure and Dynamics 15
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 2
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- Enzyme Structure and Function 8
- Co-authors
- Björn Wallner (13 shared papers)Gianluca Pollastri (4 shared papers)Isak Johansson-Åkhe (3 shared papers)Pierangelo Veltri (1 shared paper)Ian Walsh (1 shared paper)Predrag Kukić (1 shared paper)Giuseppe Tradigo (1 shared paper)Marc F. Lensink (1 shared paper)
In The Last Decade
Claudio Mirabello
22 papers receiving 516 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 108
- Molecular Biology 428
- Immunology 72
- Structural Biology 3
- Materials Chemistry 97
Countries citing papers authored by Claudio Mirabello
This map shows the geographic impact of Claudio Mirabello'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 Claudio Mirabello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Mirabello more than expected).
Fields of papers citing papers by Claudio Mirabello
This network shows the impact of papers produced by Claudio Mirabello. 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 Claudio Mirabello. The network helps show where Claudio Mirabello may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio Mirabello, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 91 | |
| 2 | 2019 | 62 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 46 | |
| 5 | 2014 | 33 | |
| 6 | 2020 | 31 | |
| 7 | 2017 | 28 | |
| 8 | 2017 | 27 | |
| 9 | 2024 | 26 | |
| 10 | 2024 | 25 | |
| 11 | 2023 | 21 | |
| 12 | 2024 | 19 | |
| 13 | 2021 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2018 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 2 |
About Claudio Mirabello
Claudio Mirabello is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Computational Theory and Mathematics and Immunology, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (8 papers), Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (3 papers), Forensic and Genetic Research (2 papers), Computational Drug Discovery Methods (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Computational Theory and Mathematics (108 citations), Molecular Biology (428 citations), Immunology (72 citations), Structural Biology (3 citations) and Materials Chemistry (97 citations). Claudio Mirabello has collaborated with scholars based in Sweden, Ireland and Russia. Frequent co-authors include Björn Wallner, Gianluca Pollastri, Isak Johansson-Åkhe, Pierangelo Veltri, Ian Walsh, Predrag Kukić, Giuseppe Tradigo, Marc F. Lensink, Marta Carroni and Christophe Blanchet. Their work appears in journals such as Bioinformatics, Scientific Reports, Proteins Structure Function and Bioinformatics, PLoS ONE and Clinical Cancer Research.
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.