Diego Bertoli
Impact in
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- Immunodeficiency and Autoimmune Disorders
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Multiple Sclerosis Research Studies
Papers in
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Oncology 6
- Polyomavirus and related diseases 4
- Co-authors
- Luisa Imberti (17 shared papers)Marco Chiarini (11 shared papers)Federico Serana (12 shared papers)Luigi Caimi (7 shared papers)Ruggero Capra (7 shared papers)Alessandra Sottini (9 shared papers)Cinzia Zanotti (4 shared papers)Alessandra Sottini (3 shared papers)
- Journals
- Journal of Translational Medicine (3 papers)Scientific Reports (2 papers)Multiple Sclerosis Journal (2 papers)Journal of Visualized Experiments (2 papers)Blood (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Diego Bertoli
21 papers receiving 251 citations
Peers
Comparison fields: 5 of 52
- Immunology 126
- Pathology and Forensic Medicine 52
- Hematology 31
- Genetics 24
- Oncology 52
Countries citing papers authored by Diego Bertoli
This map shows the geographic impact of Diego Bertoli'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 Diego Bertoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Bertoli more than expected).
Fields of papers citing papers by Diego Bertoli
This network shows the impact of papers produced by Diego Bertoli. 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 Diego Bertoli. The network helps show where Diego Bertoli may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Bertoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 54 | |
| 2 | 2014 | 31 | |
| 3 | 2014 | 29 | |
| 4 | 2019 | 29 | |
| 5 | 2015 | 17 | |
| 6 | 2024 | 17 | |
| 7 | 2013 | 15 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2014 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2014 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2014 | 1 | |
| 20 | 2024 | 1 |
About Diego Bertoli
Diego Bertoli is a scholar working on Immunology, Oncology, Epidemiology, Hematology and Physiology, having authored 24 papers that have together received 254 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Polyomavirus and related diseases (4 papers), Full-Duplex Wireless Communications (4 papers), Alzheimer's disease research and treatments (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Immunology (126 citations), Pathology and Forensic Medicine (52 citations), Hematology (31 citations), Genetics (24 citations) and Oncology (52 citations). Diego Bertoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luisa Imberti, Marco Chiarini, Federico Serana, Luigi Caimi, Ruggero Capra, Alessandra Sottini, Cinzia Zanotti, Alessandra Sottini, Andrea Bosio and Simonetta Gerevini. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, Multiple Sclerosis Journal, Journal of Visualized Experiments and Blood.
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.