Giancarlo Ceccarelli
- Infectious Diseases top 1%
- Epidemiology top 5%
- Molecular Biology top 10%
- Virology top 1%
- Neurology top 2%
- Co-authors
- Gabriella d’EttorreClaudio Maria MastroianniMario VendittiFrancesco AlessandriFrancesco PuglieseAlessandro RussoVincenzo VulloMassimo Ciccozzi
- Topics
- HIV Research and Treatment (34 papers)COVID-19 Clinical Research Studies (30 papers)HIV-related health complications and treatments (22 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEHepatology
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Giancarlo Ceccarelli
216 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Infectious Diseases 1.5k
- Epidemiology 956
- Molecular Biology 842
- Virology 509
- Neurology 464
Countries citing papers authored by Giancarlo Ceccarelli
This map shows the geographic impact of Giancarlo Ceccarelli'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 Giancarlo Ceccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giancarlo Ceccarelli more than expected).
Fields of papers citing papers by Giancarlo Ceccarelli
This network shows the impact of papers produced by Giancarlo Ceccarelli. 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 Giancarlo Ceccarelli. The network helps show where Giancarlo Ceccarelli may publish in the future.
Co-authorship network of co-authors of Giancarlo Ceccarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Giancarlo Ceccarelli. A scholar is included among the top collaborators of Giancarlo Ceccarelli 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 Giancarlo Ceccarelli. Giancarlo Ceccarelli 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 | 12 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 64 | |
| 13 | 24 | |
| 14 | 4 | |
| 15 | 24 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 149 | |
| 19 | 8 | |
| 20 | 0 |
About Giancarlo Ceccarelli
Giancarlo Ceccarelli is a scholar working on Virology, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 238 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), COVID-19 Clinical Research Studies (30 papers) and HIV-related health complications and treatments (22 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (307 citations), Virology (509 citations) and Molecular Medicine (414 citations). Giancarlo Ceccarelli has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Gabriella d’Ettorre, Claudio Maria Mastroianni, Mario Venditti, Francesco Alessandri, Francesco Pugliese, Alessandro Russo, Vincenzo Vullo, Massimo Ciccozzi, Alessandra Oliva and Letizia Santinelli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.
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.