Remo Calabrese
- Genetics top 5%
- Genomics and Rare Diseases 2
- Molecular Biology top 10%
- Machine Learning in Bioinformatics 5
- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- Bioinformatics and Genomic Networks 2
- Ubiquitin and proteasome pathways 2
- Clinical Biochemistry top 10%
- Cell Biology top 10%
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- Peptidase Inhibition and Analysis 1
- Partner nations
- ItalyUnited States
In The Last Decade
Remo Calabrese
8 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 634
- Molecular Biology 1.2k
- Clinical Biochemistry 57
- Cancer Research 118
- Cell Biology 127
Countries citing papers authored by Remo Calabrese
This map shows the geographic impact of Remo Calabrese'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 Remo Calabrese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remo Calabrese more than expected).
Fields of papers citing papers by Remo Calabrese
This network shows the impact of papers produced by Remo Calabrese. 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 Remo Calabrese. The network helps show where Remo Calabrese may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Remo Calabrese, 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 | 2013 | 252 | |
| 2 | Functional annotations improve the predictive score of human disease-related mutations in proteinsbreakdown → | 2009 | 505 |
| 3 | Protein Folding, Misfolding and Diseases: The I-Mutant Suite | 2009 | 2 |
| 4 | Protein Folding, Misfolding and Diseases: The I-Mutant Suite | 2008 | 1 |
| 5 | Predicting the Insurgence of Human Genetic Diseases Due to Single Point Protein Mutation using Machine Learning Approach. | 2007 | 1 |
| 6 | 2007 | 5 | |
| 7 | Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary informationbreakdown → | 2006 | 690 |
| 8 | 2005 | 154 |
About Remo Calabrese
Remo Calabrese is a scholar working on Molecular Biology, Biotechnology and Genetics, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Ubiquitin and proteasome pathways (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Genetics (634 citations), Molecular Biology (1.2k citations) and Clinical Biochemistry (57 citations). Remo Calabrese has collaborated with scholars based in Italy and United States. Frequent co-authors include Rita Casadio, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, Russ B. Altman and D.G. Mita.
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.