Silvia Peola
- Immunology top 5%
- Oncology top 10%
- Hematology top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Massimo MassaiaMario BoccadoroMarta CosciaAlessandro PileriMyriam FogliettaSara MarianiPaolo BorrioneBarbara Castella
- Topics
- Immunotherapy and Immune Responses (10 papers)T-cell and B-cell Immunology (10 papers)Multiple Myeloma Research and Treatments (9 papers)
- Cited by
- ImmunologyHematologyPhysiology
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Silvia Peola
22 papers receiving 709 citations
Peers
Comparison fields: 5 of 55
- Immunology 504
- Oncology 238
- Hematology 233
- Molecular Biology 163
- Genetics 98
Countries citing papers authored by Silvia Peola
This map shows the geographic impact of Silvia Peola'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 Silvia Peola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Peola more than expected).
Fields of papers citing papers by Silvia Peola
This network shows the impact of papers produced by Silvia Peola. 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 Silvia Peola. The network helps show where Silvia Peola may publish in the future.
Co-authorship network of co-authors of Silvia Peola
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Peola. A scholar is included among the top collaborators of Silvia Peola 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 Silvia Peola. Silvia Peola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 8 | |
| 3 | 53 | |
| 4 | 56 | |
| 5 | 61 | |
| 6 | 1 | |
| 7 | 40 | |
| 8 | 109 | |
| 9 | 42 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 130 | |
| 13 | CD38 stimulation lowers the activation threshold and enhances the alloreactivity of cord blood T cells by activating the phosphatidylinositol 3-kinase pathway and inducing CD73 expression. | 4 |
| 14 | 17 | |
| 15 | 30 | |
| 16 | Selective induction of CD73 expression in human lymphocytes by CD38 ligation: a novel pathway linking signal transducers with ecto-enzyme activities. | 30 |
| 17 | 6 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | 38 |
About Silvia Peola
Silvia Peola is a scholar working on Physiology, Hematology and Immunology, having authored 22 papers that have together received 724 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (10 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Immunology (504 citations), Hematology (233 citations) and Physiology (64 citations). Silvia Peola has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Massimo Massaia, Mario Boccadoro, Marta Coscia, Alessandro Pileri, Myriam Foglietta, Sara Mariani, Paolo Borrione, Barbara Castella, Alberto Bianchi and Francesca Pantaleoni. Their work appears in journals such as Blood, The Journal of Immunology 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.