Chiara Vasco
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
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- DNA Repair Mechanisms 3
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- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Silvia Garagna (6 shared papers)Maurizio Zuccotti (5 shared papers)Emilio Ciusani (8 shared papers)Raúl Fernández‐Donoso (2 shared papers)Marcia Manterola (2 shared papers)Andrea Salmaggi (5 shared papers)Jesús Page (2 shared papers)María Teresa Parra (1 shared paper)
- Journals
- European Journal of Immunology (3 papers)Chromosome Research (2 papers)CHEST Journal (1 paper)BioMed Research International (1 paper)Neurological Sciences (1 paper)
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
Chiara Vasco
22 papers receiving 404 citations
Peers
Comparison fields: 5 of 73
- Immunology 85
- Genetics 100
- Genetics 36
- Reproductive Medicine 25
- Cancer Research 31
Countries citing papers authored by Chiara Vasco
This map shows the geographic impact of Chiara Vasco'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 Chiara Vasco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Vasco more than expected).
Fields of papers citing papers by Chiara Vasco
This network shows the impact of papers produced by Chiara Vasco. 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 Chiara Vasco. The network helps show where Chiara Vasco may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Vasco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 93 | |
| 2 | 2018 | 74 | |
| 3 | 2017 | 41 | |
| 4 | 2008 | 26 | |
| 5 | 2013 | 24 | |
| 6 | 2013 | 20 | |
| 7 | 2023 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2015 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2012 | 11 | |
| 12 | 2005 | 11 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 1 |
About Chiara Vasco
Chiara Vasco is a scholar working on Molecular Biology, Immunology, Physiology, Cancer Research and Oncology, having authored 22 papers that have together received 409 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), DNA Repair Mechanisms (3 papers), Sperm and Testicular Function (3 papers), Reproductive Biology and Fertility (3 papers), Tuberous Sclerosis Complex Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). The work is most often cited by research in Immunology (85 citations), Genetics (100 citations), Genetics (36 citations), Reproductive Medicine (25 citations) and Cancer Research (31 citations). Chiara Vasco has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Silvia Garagna, Maurizio Zuccotti, Emilio Ciusani, Raúl Fernández‐Donoso, Marcia Manterola, Andrea Salmaggi, Jesús Page, María Teresa Parra, Alberto Viera and Julio S. Rufas. Their work appears in journals such as European Journal of Immunology, Chromosome Research, CHEST Journal, BioMed Research International and Neurological Sciences.
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.