A. Via
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Ubiquitin and proteasome pathways
Papers in
-
- RNA and protein synthesis mechanisms 5
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 3
- Biochemical and Structural Characterization 1
- Glycosylation and Glycoproteins Research 1
-
- Enzyme Structure and Function 6
- Co-authors
- Francesca Diella (3 shared papers)Claudia Chica (2 shared papers)Toby J. Gibson (2 shared papers)Lars Juhl Jensen (1 shared paper)Holger Dinkel (1 shared paper)Manuela Helmer‐Citterich (7 shared papers)Gabriele Ausiello (5 shared papers)Andreas Zanzoni (3 shared papers)
In The Last Decade
A. Via
9 papers receiving 941 citations
A. Via's Hit Papers
Peers
Comparison fields: 5 of 78
- Spectroscopy 276
- Molecular Biology 863
- Computational Theory and Mathematics 81
- Cell Biology 74
- Oncology 66
Countries citing papers authored by A. Via
This map shows the geographic impact of A. Via'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 A. Via with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Via more than expected).
Fields of papers citing papers by A. Via
This network shows the impact of papers produced by A. Via. 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 A. Via. The network helps show where A. Via may publish in the future.
Co-authors
The 16 scholars most cited alongside A. Via, 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 | Phospho.ELM: a database of phosphorylation sites--update 2011 Hit paper breakdown → | 2010 | 545 |
| 2 | 2007 | 199 | |
| 3 | 2000 | 50 | |
| 4 | 2006 | 40 | |
| 5 | 2010 | 37 | |
| 6 | 2007 | 29 | |
| 7 | 2005 | 22 | |
| 8 | 2006 | 22 | |
| 9 | 2007 | 4 |
About A. Via
A. Via is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Infectious Diseases, having authored 9 papers that have together received 948 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), RNA and protein synthesis mechanisms (5 papers), Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Computational Drug Discovery Methods (2 papers), Biochemical and Structural Characterization (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Spectroscopy (276 citations), Molecular Biology (863 citations), Computational Theory and Mathematics (81 citations), Cell Biology (74 citations) and Oncology (66 citations). A. Via has collaborated with scholars based in Italy, Germany and Australia. Frequent co-authors include Francesca Diella, Claudia Chica, Toby J. Gibson, Lars Juhl Jensen, Holger Dinkel, Manuela Helmer‐Citterich, Gabriele Ausiello, Andreas Zanzoni, Pier Federico Gherardini and Fabrizio Ferrè. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Cellular and Molecular Life Sciences.
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.