Luana Licata
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
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- Bioinformatics and Genomic Networks 23
- Biomedical Text Mining and Ontologies 10
- Microbial Metabolic Engineering and Bioproduction 3
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- Computational Drug Discovery Methods 7
- Co-authors
- Gianni Cesareni (19 shared papers)Livia Perfetto (19 shared papers)Luisa Castagnoli (15 shared papers)Daniele Peluso (7 shared papers)Leonardo Briganti (4 shared papers)Marta Iannuccelli (17 shared papers)Elena Santonico (2 shared papers)Alberto Calderone (5 shared papers)
- Journals
- Nucleic Acids Research (10 papers)Bioinformatics (2 papers)Neuroreport (2 papers)Current Protocols in Bioinformatics (2 papers)Database (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Luana Licata
47 papers receiving 2.3k citations
Luana Licata's Hit Papers
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 464
- Molecular Biology 1.9k
- Neurology 116
- Cancer Research 183
- Spectroscopy 146
Countries citing papers authored by Luana Licata
This map shows the geographic impact of Luana Licata'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 Luana Licata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luana Licata more than expected).
Fields of papers citing papers by Luana Licata
This network shows the impact of papers produced by Luana Licata. 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 Luana Licata. The network helps show where Luana Licata may publish in the future.
Co-authors
The 25 scholars most cited alongside Luana Licata, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MINT, the molecular interaction database: 2012 update Hit paper breakdown → | 2011 | 792 |
| 2 | 2009 | 394 | |
| 3 | 2015 | 167 | |
| 4 | 2019 | 136 | |
| 5 | 2014 | 116 | |
| 6 | 2000 | 95 | |
| 7 | 2022 | 74 | |
| 8 | 2014 | 59 | |
| 9 | 2015 | 55 | |
| 10 | 2008 | 45 | |
| 11 | 2001 | 42 | |
| 12 | 2019 | 33 | |
| 13 | 2016 | 32 | |
| 14 | 2017 | 31 | |
| 15 | 2020 | 25 | |
| 16 | 2019 | 20 | |
| 17 | 2008 | 19 | |
| 18 | 2016 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 14 |
About Luana Licata
Luana Licata is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Oncology and Cancer Research, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (23 papers), Biomedical Text Mining and Ontologies (10 papers), Computational Drug Discovery Methods (7 papers), Microbial Natural Products and Biosynthesis (3 papers), Semantic Web and Ontologies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Computational Theory and Mathematics (464 citations), Molecular Biology (1.9k citations), Neurology (116 citations), Cancer Research (183 citations) and Spectroscopy (146 citations). Luana Licata has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Gianni Cesareni, Livia Perfetto, Luisa Castagnoli, Daniele Peluso, Leonardo Briganti, Marta Iannuccelli, Elena Santonico, Alberto Calderone, Francesca Sacco and Anita Palma. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Neuroreport, Current Protocols in Bioinformatics and Database.
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.