Guido Sireci
- Immunology top 0.5%
- Oncology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Molecular Biology
- Co-authors
- Francesco DieliAlfredo SalernoNadia CaccamoCaterina Di SanoSerena MeravigliaJean‐Jacques FourniéGiuliana GugginoJuraj Iványi
- Topics
- T-cell and B-cell Immunology (38 papers)Immune Cell Function and Interaction (36 papers)Immune Response and Inflammation (17 papers)
- Journals
- The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Guido Sireci
102 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 103
- Immunology 2.5k
- Oncology 614
- Epidemiology 584
- Infectious Diseases 504
- Molecular Biology 408
Countries citing papers authored by Guido Sireci
This map shows the geographic impact of Guido Sireci'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 Guido Sireci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Sireci more than expected).
Fields of papers citing papers by Guido Sireci
This network shows the impact of papers produced by Guido Sireci. 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 Guido Sireci. The network helps show where Guido Sireci may publish in the future.
Co-authorship network of co-authors of Guido Sireci
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Sireci. A scholar is included among the top collaborators of Guido Sireci 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 Guido Sireci. Guido Sireci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 16 | |
| 4 | 58 | |
| 5 | Invariant NKT cells are expanded in peripheral blood but are undetectable in salivary glands of patients with primary Sjögren's syndrome. | 46 |
| 6 | 89 | |
| 7 | Targeting IL-6 signalling in early rheumatoid arthritis is followed by Th1 and Th17 suppression and Th2 expansion. | 32 |
| 8 | 88 | |
| 9 | Differentiation, phenotype, and function ofinterleukin-17-producing human V{gamma}9V{delta}2 T cells | 3 |
| 10 | 18 | |
| 11 | 7 | |
| 12 | 56 | |
| 13 | 88 | |
| 14 | 267 | |
| 15 | Granulysin-dependent killing of intracellular and extracellular Mycobacterium tuberculosis by V gamma 9/V delta 2 T lymphocytes | 9 |
| 16 | 44 | |
| 17 | 55 | |
| 18 | 3 | |
| 19 | 29 | |
| 20 | 4 |
About Guido Sireci
Guido Sireci is a scholar working on Immunology, Parasitology and Transplantation, having authored 102 papers that have together received 3.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (38 papers), Immune Cell Function and Interaction (36 papers) and Immune Response and Inflammation (17 papers). The work is most often cited by research in Immunology (2.5k citations), Transplantation (81 citations) and Infectious Diseases (504 citations). Guido Sireci has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Francesco Dieli, Alfredo Salerno, Nadia Caccamo, Caterina Di Sano, Serena Meraviglia, Jean‐Jacques Fournié, Giuliana Guggino, Juraj Iványi, Francesco Ciccia and G Triolo. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.
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.