Sergio Forcelloni
Impact in
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- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
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- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
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- RNA and protein synthesis mechanisms 9
- Genomics and Phylogenetic Studies 4
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- Machine Learning in Bioinformatics 2
- CRISPR and Genetic Engineering 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Andrea Giansanti (8 shared papers)Alessandro Porrello (1 shared paper)Maddalena Dilucca (4 shared papers)Alexandros G. Georgakilas (2 shared papers)Athanasia Pavlopoulou (2 shared papers)Andrew Behrens (3 shared papers)Danny D. Nedialkova (3 shared papers)Giulio Cimini (1 shared paper)
In The Last Decade
Sergio Forcelloni
10 papers receiving 265 citations
Peers
Comparison fields: 5 of 51
- Molecular Biology 200
- Infectious Diseases 51
- Aging 2
- Animal Science and Zoology 10
- Cell Biology 14
Countries citing papers authored by Sergio Forcelloni
This map shows the geographic impact of Sergio Forcelloni'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 Sergio Forcelloni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Forcelloni more than expected).
Fields of papers citing papers by Sergio Forcelloni
This network shows the impact of papers produced by Sergio Forcelloni. 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 Sergio Forcelloni. The network helps show where Sergio Forcelloni may publish in the future.
Co-authors
The 22 scholars most cited alongside Sergio Forcelloni, 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 | 2019 | 101 | |
| 2 | 2020 | 63 | |
| 3 | 2024 | 43 | |
| 4 | 2019 | 27 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 9 | |
| 7 | 2020 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2026 | 0 |
About Sergio Forcelloni
Sergio Forcelloni is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Spectroscopy and Immunology, having authored 12 papers that have together received 272 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Microbial Natural Products and Biosynthesis (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (200 citations), Infectious Diseases (51 citations), Aging (2 citations), Animal Science and Zoology (10 citations) and Cell Biology (14 citations). Sergio Forcelloni has collaborated with scholars based in Italy, Germany and Greece. Frequent co-authors include Andrea Giansanti, Alessandro Porrello, Maddalena Dilucca, Alexandros G. Georgakilas, Athanasia Pavlopoulou, Andrew Behrens, Danny D. Nedialkova, Giulio Cimini, Anna Benedetti and Klemens Fröhlich. Their work appears in journals such as Viruses, Gene, PLoS ONE, Signal Transduction and Targeted Therapy and Genetica.
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.