Roberta Castriconi
- Immunology top 0.2%
- Oncology top 1%
- Molecular Biology top 10%
- Hematology top 2%
- Neurology top 2%
- Co-authors
- Cristina BottinoAlessandro MorettaLorenzo MorettaAlessandra DonderoMassimo VitaleClaudia CantoniEmanuela MarcenaroDaniela Pende
- Topics
- Immune Cell Function and Interaction (57 papers)T-cell and B-cell Immunology (28 papers)Neuroblastoma Research and Treatments (14 papers)
- Cited by
- ImmunologyOncologyHematology
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Roberta Castriconi
67 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 5.4k
- Oncology 2.3k
- Molecular Biology 743
- Hematology 525
- Neurology 472
Countries citing papers authored by Roberta Castriconi
This map shows the geographic impact of Roberta Castriconi'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 Castriconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberta Castriconi more than expected).
Fields of papers citing papers by Roberta Castriconi
This network shows the impact of papers produced by Roberta Castriconi. 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 Castriconi. The network helps show where Roberta Castriconi may publish in the future.
Co-authorship network of co-authors of Roberta Castriconi
This figure shows the co-authorship network connecting the top 25 collaborators of Roberta Castriconi. A scholar is included among the top collaborators of Roberta Castriconi 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 Roberta Castriconi. Roberta Castriconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 17 | |
| 5 | 41 | |
| 6 | 8 | |
| 7 | 40 | |
| 8 | 70 | |
| 9 | 96 | |
| 10 | 21 | |
| 11 | 274 | |
| 12 | 82 | |
| 13 | 200 | |
| 14 | 128 | |
| 15 | 117 | |
| 16 | TGFβ1 inhibits the surface expression of the NKp30 and NKG2D triggering NK receptors: consequences for the NK-mediated killing of dendritic cells | 1 |
| 17 | 75 | |
| 18 | 170 | |
| 19 | 73 | |
| 20 | 102 |
About Roberta Castriconi
Roberta Castriconi is a scholar working on Immunology, Neurology and Oncology, having authored 68 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (28 papers) and Neuroblastoma Research and Treatments (14 papers). The work is most often cited by research in Immunology (5.4k citations), Oncology (2.3k citations) and Hematology (525 citations). Roberta Castriconi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Cristina Bottino, Alessandro Moretta, Lorenzo Moretta, Alessandra Dondero, Massimo Vitale, Claudia Cantoni, Emanuela Marcenaro, Daniela Pende, Roberto Biassoni and Francesca Bellora. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.