Alessio De Luca
- Cardiology and Cardiovascular Medicine top 10%
- Infectious Diseases top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Co-authors
- Giorgio GalantiGianni PedrizzettiLaura StefaniBarbara FioriMaurizio SanguinettiBrunella PosteraroLoira ToncelliRoberto Cauda
- Topics
- Cardiovascular Function and Risk Factors (7 papers)Cardiovascular Effects of Exercise (7 papers)Robotic Path Planning Algorithms (6 papers)
- Cited by
- Infectious DiseasesCardiology and Cardiovascular MedicineApplied Microbiology and Biotechnology
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Alessio De Luca
25 papers receiving 508 citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 223
- Infectious Diseases 219
- Epidemiology 165
- Radiology, Nuclear Medicine and Imaging 83
- Molecular Biology 54
Countries citing papers authored by Alessio De Luca
This map shows the geographic impact of Alessio De Luca'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 Alessio De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio De Luca more than expected).
Fields of papers citing papers by Alessio De Luca
This network shows the impact of papers produced by Alessio De Luca. 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 Alessio De Luca. The network helps show where Alessio De Luca may publish in the future.
Co-authorship network of co-authors of Alessio De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Alessio De Luca. A scholar is included among the top collaborators of Alessio De Luca 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 Alessio De Luca. Alessio De Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 60 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 72 | |
| 14 | 5 | |
| 15 | 165 | |
| 16 | 26 | |
| 17 | 29 | |
| 18 | 43 | |
| 19 | 11 | |
| 20 | 25 |
About Alessio De Luca
Alessio De Luca is a scholar working on Applied Microbiology and Biotechnology, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 516 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Cardiovascular Effects of Exercise (7 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Infectious Diseases (219 citations), Cardiology and Cardiovascular Medicine (223 citations) and Applied Microbiology and Biotechnology (11 citations). Alessio De Luca has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giorgio Galanti, Gianni Pedrizzetti, Laura Stefani, Barbara Fiori, Maurizio Sanguinetti, Brunella Posteraro, Loira Toncelli, Roberto Cauda, Angela Raffaella Losito and Patrizia Posteraro. Their work appears in journals such as Physical Review Letters, PLoS ONE and Antimicrobial Agents and Chemotherapy.
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.