Roberta Angioni
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Immunology 10
- Immune cells in cancer 5
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- Adenosine and Purinergic Signaling 3
- Co-authors
- Barbara Molon (9 shared papers)Antonella Viola (16 shared papers)Bianca Calì (6 shared papers)Ricardo Sánchez‐Rodríguez (11 shared papers)Fabio Munari (6 shared papers)Francesco Di Virgilio (1 shared paper)Sara Zumerle (1 shared paper)Francisca C. Venegas (5 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Cell Death and Differentiation (2 papers)Cancers (2 papers)Frontiers in Immunology (2 papers)Cell Death and Disease (1 paper)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Roberta Angioni
22 papers receiving 804 citations
Peers
Comparison fields: 5 of 88
- Physiology 60
- Immunology 232
- Genetics 96
- Cancer Research 82
- Oncology 147
Countries citing papers authored by Roberta Angioni
This map shows the geographic impact of Roberta Angioni'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 Roberta Angioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Angioni more than expected).
Fields of papers citing papers by Roberta Angioni
This network shows the impact of papers produced by Roberta Angioni. 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 Roberta Angioni. The network helps show where Roberta Angioni may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberta Angioni, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2019 | 108 | |
| 3 | 2020 | 84 | |
| 4 | 2017 | 70 | |
| 5 | 2016 | 50 | |
| 6 | 2020 | 46 | |
| 7 | 2021 | 46 | |
| 8 | 2020 | 42 | |
| 9 | 2022 | 39 | |
| 10 | 2016 | 30 | |
| 11 | 2022 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2023 | 18 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 4 |
About Roberta Angioni
Roberta Angioni is a scholar working on Immunology, Physiology, Infectious Diseases, Biological Psychiatry and Cancer Research, having authored 23 papers that have together received 811 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Immune cells in cancer (5 papers), Extracellular vesicles in disease (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Adenosine and Purinergic Signaling (3 papers), Tryptophan and brain disorders (2 papers), Neonatal Respiratory Health Research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Physiology (60 citations), Immunology (232 citations), Genetics (96 citations), Cancer Research (82 citations) and Oncology (147 citations). Roberta Angioni has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Barbara Molon, Antonella Viola, Bianca Calì, Ricardo Sánchez‐Rodríguez, Fabio Munari, Francesco Di Virgilio, Sara Zumerle, Francisca C. Venegas, Lucia Zanotti and Armando Luis Negri. Their work appears in journals such as International Journal of Molecular Sciences, Cell Death and Differentiation, Cancers, Frontiers in Immunology and Cell Death and Disease.
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.