Raffaella Augugliaro
- Immunology top 0.2%
- Oncology top 2%
- Hematology top 1%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Lorenzo MorettaCristina BottinoAlessandro MorettaMassimo VitaleSimona SivoriRoberto BiassoniEmanuela MarcenaroSilvia Parolini
- Topics
- Immune Cell Function and Interaction (25 papers)T-cell and B-cell Immunology (22 papers)Immunotherapy and Immune Responses (8 papers)
- Cited by
- ImmunologyHematologyOncology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineEuropean Journal of Immunology
- Partner nations
- ItalyUnited StatesAustria
In The Last Decade
Raffaella Augugliaro
27 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Immunology 4.9k
- Oncology 1.3k
- Hematology 633
- Molecular Biology 396
- Epidemiology 321
Countries citing papers authored by Raffaella Augugliaro
This map shows the geographic impact of Raffaella Augugliaro'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 Raffaella Augugliaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaella Augugliaro more than expected).
Fields of papers citing papers by Raffaella Augugliaro
This network shows the impact of papers produced by Raffaella Augugliaro. 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 Raffaella Augugliaro. The network helps show where Raffaella Augugliaro may publish in the future.
Co-authorship network of co-authors of Raffaella Augugliaro
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaella Augugliaro. A scholar is included among the top collaborators of Raffaella Augugliaro 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 Raffaella Augugliaro. Raffaella Augugliaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 89 | |
| 3 | 49 | |
| 4 | 239 | |
| 5 | 75 | |
| 6 | 74 | |
| 7 | 277 | |
| 8 | 398 | |
| 9 | 73 | |
| 10 | 132 | |
| 11 | NKp44, a Novel Triggering Surface Molecule Specifically Expressed by Activated Natural Killer Cells, Is Involved in Non–Major Histocompatibility Complex–restricted Tumor Cell Lysisbreakdown → | 590 |
| 12 | 420 | |
| 13 | 123 | |
| 14 | 63 | |
| 15 | 174 | |
| 16 | 46 | |
| 17 | 463 | |
| 18 | 1 | |
| 19 | Novel surface molecules involved in human NK cell activation and triggering of the lytic machinery. | 33 |
| 20 | 192 |
About Raffaella Augugliaro
Raffaella Augugliaro is a scholar working on Immunology, Oncology and Psychiatry and Mental health, having authored 27 papers that have together received 5.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (22 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Immunology (4.9k citations), Hematology (633 citations) and Oncology (1.3k citations). Raffaella Augugliaro has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Lorenzo Moretta, Cristina Bottino, Alessandro Moretta, Massimo Vitale, Simona Sivori, Roberto Biassoni, Emanuela Marcenaro, Silvia Parolini, Daniela Pende and Luigia Morelli. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and European Journal of Immunology.
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.