Serena Meraviglia
- Immunology top 0.5%
- Immune Cell Function and Interaction 41
- T-cell and B-cell Immunology 39
- Immunotherapy and Immune Responses 30
- Oncology top 2%
- CAR-T cell therapy research 14
- Cancer Immunotherapy and Biomarkers 10
- Cancer Research top 10%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology 9
- Virology top 10%
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- Multiple Myeloma Research and Treatments 5
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- Mycobacterium research and diagnosis 5
- Co-authors
- Francesco DieliNadia CaccamoAlfredo SalernoGiorgio StassiMatilde TodaroCarmela La MendolaElena Lo PrestiValentina Orlando
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Serena Meraviglia
80 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 101
- Immunology 2.8k
- Oncology 1.6k
- Cancer Research 273
- Infectious Diseases 332
- Virology 73
Countries citing papers authored by Serena Meraviglia
This map shows the geographic impact of Serena Meraviglia'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 Serena Meraviglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Meraviglia more than expected).
Fields of papers citing papers by Serena Meraviglia
This network shows the impact of papers produced by Serena Meraviglia. 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 Serena Meraviglia. The network helps show where Serena Meraviglia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Serena Meraviglia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 131 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 1 | |
| 15 | 2017 | 68 | |
| 16 | 2017 | 48 | |
| 17 | Differentiation, phenotype, and function ofinterleukin-17-producing human V{gamma}9V{delta}2 T cells | 2011 | 3 |
| 18 | Efficient killing of human colon cancer stem cells by gammadelta T lymphocytes | 2009 | 85 |
| 19 | 2007 | 404 | |
| 20 | 2006 | 130 |
About Serena Meraviglia
Serena Meraviglia is a scholar working on Immunology, Aging, Oncology, Infectious Diseases and Hematology, having authored 86 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (39 papers), Immunotherapy and Immune Responses (30 papers), CAR-T cell therapy research (14 papers), Cancer Immunotherapy and Biomarkers (10 papers), Tuberculosis Research and Epidemiology (9 papers), Multiple Myeloma Research and Treatments (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (1.6k citations), Cancer Research (273 citations), Infectious Diseases (332 citations) and Virology (73 citations). Serena Meraviglia has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Francesco Dieli, Nadia Caccamo, Alfredo Salerno, Giorgio Stassi, Matilde Todaro, Carmela La Mendola, Elena Lo Presti, Valentina Orlando, Guido Sireci and Matilde D’Asaro. Their work appears in journals such as Blood, Frontiers in Immunology, The Journal of Immunology, Clinical & Experimental Immunology and OncoImmunology.
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.