Clelia Di Serio
- Genetics top 1%
- Virus-based gene therapy research 13
- Immunology top 2%
- Oncology top 2%
- CAR-T cell therapy research 5
- Molecular Biology top 5%
- CRISPR and Genetic Engineering 8
- RNA Interference and Gene Delivery 6
- Virology top 5%
- HIV Research and Treatment 7
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- Cytomegalovirus and herpesvirus research 5
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- SARS-CoV-2 and COVID-19 Research 5
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- COVID-19 epidemiological studies 5
- Co-authors
- Luigi NaldiniAlessandro AmbrosiAlessandro NonisEugenio MontiniFrancesca SanvitoManfred SchmidtCynthia C. BartholomaeChristof von Kalle
- Cited by
- GeneticsImmunologyOncology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Clinical Investigation (3 papers)Nature Medicine (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Clelia Di Serio
83 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Genetics 1.5k
- Immunology 1.0k
- Oncology 1.1k
- Molecular Biology 2.3k
- Virology 128
Countries citing papers authored by Clelia Di Serio
This map shows the geographic impact of Clelia Di Serio'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 Clelia Di Serio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clelia Di Serio more than expected).
Fields of papers citing papers by Clelia Di Serio
This network shows the impact of papers produced by Clelia Di Serio. 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 Clelia Di Serio. The network helps show where Clelia Di Serio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Clelia Di Serio, 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 | 2023 | 2 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 20 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 19 | |
| 10 | 2018 | 3 | |
| 11 | 2017 | 12 | |
| 12 | 2016 | 106 | |
| 13 | 2016 | 104 | |
| 14 | 2016 | 10 | |
| 15 | 2015 | 103 | |
| 16 | 2013 | 10 | |
| 17 | 2012 | 60 | |
| 18 | 2011 | 186 | |
| 19 | 2009 | 204 | |
| 20 | 2005 | 42 |
About Clelia Di Serio
Clelia Di Serio is a scholar working on Virology, Modeling and Simulation and General Decision Sciences, having authored 87 papers that have together received 4.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), CRISPR and Genetic Engineering (8 papers), HIV Research and Treatment (7 papers), RNA Interference and Gene Delivery (6 papers), Cytomegalovirus and herpesvirus research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Genetics (1.5k citations), Immunology (1.0k citations) and Oncology (1.1k citations). Clelia Di Serio has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Luigi Naldini, Alessandro Ambrosi, Alessandro Nonis, Eugenio Montini, Francesca Sanvito, Manfred Schmidt, Cynthia C. Bartholomae, Christof von Kalle, Claudio Doglioni and Maurilio Ponzoni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.