Danila Vella
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Pulmonary and Respiratory Medicine
- Computational Theory and Mathematics top 10%
- Surgery
- Co-authors
- Dario Di SilvestreGiancarlo MauriRiccardo BellazziSimone MariniFrancesca VitaliItalo ZoppisPierluigi MauriGiorgia M. Bosi
- Topics
- Cardiac Valve Diseases and Treatments (4 papers)Atrial Fibrillation Management and Outcomes (4 papers)Aortic Disease and Treatment Approaches (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineComputational Theory and MathematicsMolecular Biology
- Journals
- Scientific ReportsComputer Methods and Programs in BiomedicineComputers in Biology and Medicine
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Danila Vella
13 papers receiving 251 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 110
- Cardiology and Cardiovascular Medicine 70
- Pulmonary and Respiratory Medicine 38
- Computational Theory and Mathematics 37
- Surgery 23
Countries citing papers authored by Danila Vella
This map shows the geographic impact of Danila Vella'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 Danila Vella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danila Vella more than expected).
Fields of papers citing papers by Danila Vella
This network shows the impact of papers produced by Danila Vella. 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 Danila Vella. The network helps show where Danila Vella may publish in the future.
Co-authorship network of co-authors of Danila Vella
This figure shows the co-authorship network connecting the top 25 collaborators of Danila Vella. A scholar is included among the top collaborators of Danila Vella based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danila Vella. Danila Vella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 22 | |
| 8 | 3 | |
| 9 | 28 | |
| 10 | 2 | |
| 11 | 94 | |
| 12 | 70 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 14 |
About Danila Vella
Danila Vella is a scholar working on Cardiology and Cardiovascular Medicine, Biomaterials and Information Systems and Management, having authored 15 papers that have together received 255 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (70 citations), Computational Theory and Mathematics (37 citations) and Molecular Biology (110 citations). Danila Vella has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Dario Di Silvestre, Giancarlo Mauri, Riccardo Bellazzi, Simone Marini, Francesca Vitali, Italo Zoppis, Pierluigi Mauri, Giorgia M. Bosi, Gaetano Burriesci and B. Zuccarello. Their work appears in journals such as Scientific Reports, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.
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.