Manuel Giollo
Impact in
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 2
- RNA and protein synthesis mechanisms 2
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- Speech Recognition and Synthesis 3
- Speech and dialogue systems 2
- Co-authors
- Carlo Ferrari (9 shared papers)Silvio C. E. Tosatto (9 shared papers)Ian Walsh (3 shared papers)Tomás Di Domenico (2 shared papers)Damiano Piovesan (4 shared papers)Olav Zimmermann (1 shared paper)Alberto J. M. Martín (1 shared paper)Emanuela Leonardi (3 shared papers)
- Journals
- Bioinformatics (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)Human Mutation (1 paper)BMC Genomics (1 paper)
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Manuel Giollo
13 papers receiving 434 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 354
- Computational Theory and Mathematics 30
- Materials Chemistry 86
- Hematology 20
- Genetics 46
Countries citing papers authored by Manuel Giollo
This map shows the geographic impact of Manuel Giollo'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 Manuel Giollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Giollo more than expected).
Fields of papers citing papers by Manuel Giollo
This network shows the impact of papers produced by Manuel Giollo. 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 Manuel Giollo. The network helps show where Manuel Giollo may publish in the future.
Co-authors
The 23 scholars most cited alongside Manuel Giollo, 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 | 2014 | 129 | |
| 2 | 2014 | 97 | |
| 3 | 2015 | 66 | |
| 4 | 2013 | 55 | |
| 5 | 2015 | 26 | |
| 6 | 2015 | 18 | |
| 7 | 2014 | 11 | |
| 8 | 2017 | 11 | |
| 9 | 2023 | 8 | |
| 10 | 2017 | 8 | |
| 11 | 2014 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2017 | 3 | |
| 14 | 2024 | 0 |
About Manuel Giollo
Manuel Giollo is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Materials Chemistry, having authored 14 papers that have together received 440 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Speech Recognition and Synthesis (3 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers), RNA and protein synthesis mechanisms (2 papers), Speech and dialogue systems (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (354 citations), Computational Theory and Mathematics (30 citations), Materials Chemistry (86 citations), Hematology (20 citations) and Genetics (46 citations). Manuel Giollo has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Carlo Ferrari, Silvio C. E. Tosatto, Ian Walsh, Tomás Di Domenico, Damiano Piovesan, Olav Zimmermann, Alberto J. M. Martín, Emanuela Leonardi, Giovanni Minervini and R. Gonzalo Parra. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, PLoS ONE, Human Mutation 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.