Gabriele Del Castillo
- Infectious Diseases
- Modeling and Simulation top 5%
- Cardiology and Cardiovascular Medicine
- Pharmacology
- Animal Science and Zoology top 10%
- Co-authors
- Alberto PalazzuoliRanuccio NutiMarco PellegriniGaetano RuoccoAdriana MoralesLorenzo MojaGreta CastelliniBeatrice Franci
- Topics
- SARS-CoV-2 and COVID-19 Research (5 papers)Respiratory viral infections research (5 papers)Influenza Virus Research Studies (4 papers)
- Journals
- The American Journal of CardiologyEmerging infectious diseasesBritish Journal of Sports Medicine
- Partner nations
- ItalyUnited StatesMexico
In The Last Decade
Gabriele Del Castillo
21 papers receiving 419 citations
Peers
Comparison fields: 5 of 93
- Infectious Diseases 83
- Modeling and Simulation 77
- Cardiology and Cardiovascular Medicine 71
- Pharmacology 69
- Animal Science and Zoology 57
Countries citing papers authored by Gabriele Del Castillo
This map shows the geographic impact of Gabriele Del Castillo'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 Gabriele Del Castillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Del Castillo more than expected).
Fields of papers citing papers by Gabriele Del Castillo
This network shows the impact of papers produced by Gabriele Del Castillo. 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 Gabriele Del Castillo. The network helps show where Gabriele Del Castillo may publish in the future.
Co-authorship network of co-authors of Gabriele Del Castillo
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Del Castillo. A scholar is included among the top collaborators of Gabriele Del Castillo 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 Gabriele Del Castillo. Gabriele Del Castillo 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 20 | |
| 16 | 42 | |
| 17 | 3 | |
| 18 | 28 | |
| 19 | 24 | |
| 20 | 19 |
About Gabriele Del Castillo
Gabriele Del Castillo is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 26 papers that have together received 430 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (5 papers) and Influenza Virus Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Animal Science and Zoology (57 citations) and Nephrology (37 citations). Gabriele Del Castillo has collaborated with scholars based in Italy, United States and Mexico. Frequent co-authors include Alberto Palazzuoli, Ranuccio Nuti, Marco Pellegrini, Gaetano Ruocco, Adriana Morales, Lorenzo Moja, Greta Castellini, Beatrice Franci, Andrea Turolla and Miguel Cervantes. Their work appears in journals such as The American Journal of Cardiology, Emerging infectious diseases and British Journal of Sports 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.