Alberto Calderone
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Biomedical Text Mining and Ontologies
- Microbial Metabolic Engineering and Bioproduction
- RNA modifications and cancer
- Gene expression and cancer classification
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 10
- Protein Tyrosine Phosphatases 3
- Microbial Metabolic Engineering and Bioproduction 3
- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Gianni Cesareni (12 shared papers)Luana Licata (5 shared papers)Luisa Castagnoli (8 shared papers)Marta Iannuccelli (6 shared papers)Livia Perfetto (6 shared papers)Daniele Peluso (4 shared papers)Prisca Lo Surdo (3 shared papers)Elena Santonico (4 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Current Protocols in Bioinformatics (2 papers)British Journal of Cancer (1 paper)Scientific Reports (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Alberto Calderone
15 papers receiving 631 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 521
- Computational Theory and Mathematics 101
- Cancer Research 57
- Spectroscopy 43
- Aging 4
Countries citing papers authored by Alberto Calderone
This map shows the geographic impact of Alberto Calderone'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 Alberto Calderone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Calderone more than expected).
Fields of papers citing papers by Alberto Calderone
This network shows the impact of papers produced by Alberto Calderone. 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 Alberto Calderone. The network helps show where Alberto Calderone may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Calderone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 167 | |
| 2 | 2019 | 136 | |
| 3 | 2014 | 116 | |
| 4 | 2012 | 51 | |
| 5 | 2017 | 31 | |
| 6 | 2016 | 27 | |
| 7 | 2016 | 19 | |
| 8 | 2012 | 17 | |
| 9 | 2020 | 16 | |
| 10 | 2014 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2013 | 11 | |
| 14 | 2018 | 7 | |
| 15 | 2012 | 2 | |
| 16 | 2014 | 0 |
About Alberto Calderone
Alberto Calderone is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Genetics and Neurology, having authored 16 papers that have together received 635 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Protein Tyrosine Phosphatases (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (2 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (521 citations), Computational Theory and Mathematics (101 citations), Cancer Research (57 citations), Spectroscopy (43 citations) and Aging (4 citations). Alberto Calderone has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gianni Cesareni, Luana Licata, Luisa Castagnoli, Marta Iannuccelli, Livia Perfetto, Daniele Peluso, Prisca Lo Surdo, Elena Santonico, Elisa Micarelli and Alessandro Palma. Their work appears in journals such as Nucleic Acids Research, Current Protocols in Bioinformatics, British Journal of Cancer, Scientific Reports and BMC Systems Biology.
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.