Riccardo Dolcetti
- Oncology top 0.2%
- Pathology and Forensic Medicine top 0.2%
- Immunology top 1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Co-authors
- Antonino CarboneMauro BoiocchiAnnunziata GloghiniClaudio DoglioniM BoiocchiMassimo GuidoboniVallì De ReMaurilio Ponzoni
- Topics
- Viral-associated cancers and disorders (100 papers)Lymphoma Diagnosis and Treatment (81 papers)Immune Cell Function and Interaction (54 papers)
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
Riccardo Dolcetti
250 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 119
- Oncology 4.8k
- Pathology and Forensic Medicine 3.2k
- Immunology 2.1k
- Molecular Biology 1.6k
- Epidemiology 1.4k
Countries citing papers authored by Riccardo Dolcetti
This map shows the geographic impact of Riccardo Dolcetti'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 Riccardo Dolcetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Dolcetti more than expected).
Fields of papers citing papers by Riccardo Dolcetti
This network shows the impact of papers produced by Riccardo Dolcetti. 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 Riccardo Dolcetti. The network helps show where Riccardo Dolcetti may publish in the future.
Co-authorship network of co-authors of Riccardo Dolcetti
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Dolcetti. A scholar is included among the top collaborators of Riccardo Dolcetti 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 Riccardo Dolcetti. Riccardo Dolcetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 27 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 26 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 19 | |
| 15 | 28 | |
| 16 | 11 | |
| 17 | 117 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | Epstein-Barr-Virus Isolates From a Highly Hla A11 Positive Population Lack the Dominant A11 Restricted T-Cell Epitope | 3 |
About Riccardo Dolcetti
Riccardo Dolcetti is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology, having authored 255 papers that have together received 8.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (100 papers), Lymphoma Diagnosis and Treatment (81 papers) and Immune Cell Function and Interaction (54 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.2k citations), Oncology (4.8k citations) and Immunology (2.1k citations). Riccardo Dolcetti has collaborated with scholars based in Italy, Australia and United States. Frequent co-authors include Antonino Carbone, Mauro Boiocchi, Annunziata Gloghini, Claudio Doglioni, M Boiocchi, Massimo Guidoboni, Vallì De Re, Maurilio Ponzoni, Andrés J.M. Ferreri and Maria G. Masucci. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.