Riccardo Dolcetti
- Pathology and Forensic Medicine top 0.2%
- Lymphoma Diagnosis and Treatment 81
- Oncology top 0.2%
- Viral-associated cancers and disorders 100
- Cancer Immunotherapy and Biomarkers 19
- Immunology top 1%
- Immune Cell Function and Interaction 54
- Immunotherapy and Immune Responses 35
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 22
- Otorhinolaryngology top 2%
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- Cytomegalovirus and herpesvirus research 32
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- Parvovirus B19 Infection Studies 22
- Co-authors
- Antonino CarboneMauro BoiocchiAnnunziata GloghiniClaudio DoglioniM BoiocchiMassimo GuidoboniVallì De ReMaurilio Ponzoni
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ItalyAustraliaUnited States
In The Last Decade
Riccardo Dolcetti
250 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 119
- Pathology and Forensic Medicine 3.2k
- Oncology 4.8k
- Immunology 2.1k
- Genetics 753
- Otorhinolaryngology 198
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
The 25 scholars most cited alongside Riccardo Dolcetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 4 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 7 | |
| 12 | 2019 | 11 | |
| 13 | 2018 | 17 | |
| 14 | 2016 | 19 | |
| 15 | 2013 | 28 | |
| 16 | 2012 | 11 | |
| 17 | 2012 | 117 | |
| 18 | 2012 | 20 | |
| 19 | 2008 | 2 | |
| 20 | Epstein-Barr-Virus Isolates From a Highly Hla A11 Positive Population Lack the Dominant A11 Restricted T-Cell Epitope | 1993 | 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), Immune Cell Function and Interaction (54 papers), Immunotherapy and Immune Responses (35 papers), Cytomegalovirus and herpesvirus research (32 papers), Chronic Lymphocytic Leukemia Research (22 papers), Parvovirus B19 Infection Studies (22 papers) and Cancer Immunotherapy and Biomarkers (19 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.