Roberto Bei
- Biochemistry top 1%
- Clinical Biochemistry top 1%
- Immunology top 2%
- Immunotherapy and Immune Responses 19
- Immune Cell Function and Interaction 12
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications 8
- Oncology top 2%
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- Monoclonal and Polyclonal Antibodies Research 26
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- Glycosylation and Glycoproteins Research 14
- RNA Interference and Gene Delivery 9
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- Occupational and environmental lung diseases 11
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- Cancer Research and Treatments 8
- Co-authors
- Laura MasuelliAndrea ModestiMonica BenvenutoMassimo FantiniIlaria TresoldiRaffaella MuraroGiovanni Vanni FrajeseMaria Gabriella Giganti
- Journals
- International Journal of Molecular Sciences (15 papers)Frontiers in bioscience (5 papers)The Journal of Pathology (4 papers)
- Partner nations
- ItalyUnited StatesFinland
In The Last Decade
Roberto Bei
151 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 144
- Biochemistry 352
- Clinical Biochemistry 315
- Immunology 976
- Molecular Medicine 223
- Oncology 1.0k
Countries citing papers authored by Roberto Bei
This map shows the geographic impact of Roberto Bei'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 Roberto Bei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Bei more than expected).
Fields of papers citing papers by Roberto Bei
This network shows the impact of papers produced by Roberto Bei. 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 Roberto Bei. The network helps show where Roberto Bei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Bei, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 34 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 34 | |
| 16 | 2017 | 46 | |
| 17 | 2015 | 3 | |
| 18 | Gene-specific inhibition of breast carcinoma in BALB-neuT mice by active immunization with rat Neu or human ErbB receptors. | 2007 | 31 |
| 19 | 2006 | 39 | |
| 20 | 2001 | 65 |
About Roberto Bei
Roberto Bei is a scholar working on Immunology, Molecular Medicine and Oncology, having authored 154 papers that have together received 5.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (26 papers), Immunotherapy and Immune Responses (19 papers), Glycosylation and Glycoproteins Research (14 papers), Immune Cell Function and Interaction (12 papers), Occupational and environmental lung diseases (11 papers), RNA Interference and Gene Delivery (9 papers), Cancer Research and Treatments (8 papers) and Curcumin's Biomedical Applications (8 papers). The work is most often cited by research in Biochemistry (352 citations), Clinical Biochemistry (315 citations) and Immunology (976 citations). Roberto Bei has collaborated with scholars based in Italy, United States and Finland. Frequent co-authors include Laura Masuelli, Andrea Modesti, Monica Benvenuto, Massimo Fantini, Ilaria Tresoldi, Raffaella Muraro, Giovanni Vanni Frajese, Maria Gabriella Giganti, Camilla Palumbo and Laura Marzocchella. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in bioscience, The Journal of Pathology, International Journal of Oncology and Oncotarget.
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.